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Transcription

ON-SITE PROGRAM
WELCOME TO SCIENCE IN THE AGE OF EXPERIENCE™
Today, science is becoming more challenging than ever, with innovation becoming more
complex as scientific understanding deepens and expands. Scientists must make sense
of mountains of data and provide solutions to stunningly complex questions, despite
shrinking budgets and increasingly aggressive timelines. When challenges are big and
resources are limited, inefficiency is not an option.
Fortunately, new digital tools and techniques are helping scientists study the molecular
world to better understand the macroscopic world, ushering in a new age of scientific
innovation. From atoms to airplanes and multiscale modeling to medicines, we are
in an era where the integration of biological, chemical and materials modeling and
simulation gives science the support it needs to further discovery and knowledge.
Scientific research is no longer hindered by the physics of the real world.
Big data, reduced costs thanks to digital modeling, and high-speed computing offer the
potential to reinvent how scientists do research. In addition, questions which may have
once been posed and worked on in isolation can now be pursued with peers within and
across disciplines via cloud-based collaborative platforms, breaking down silos of data and
expertise and providing a common infrastructure for capturing and sharing knowledge.
How this knowledge is shared is also being transformed. The use of 3D models,
augmented reality and virtual reality allow others to actually experience the science
at hand, rather than simply combing through text and tables and graphs. And this
applies whether the science being shared pertains to the structure of a nanoparticle,
the functioning of a human organ, the changing climate of the earth or the secrets of
the universe revealed by distant stars.
Similar to the way that technology is enabling economies to shift from the production
of goods and services to the delivery of meaningful, multi-dimensional experiences,
digital technologies are transforming science into a dynamic experience that strips
away the ordinary routine, liberating the curiosity and creativity at the core of science.
We are now equipped as never before to imagine a better world, to simulate a better
world, and to make that better world a reality.
Welcome to Science in the Age of Experience.
MONICA MENGHINI
Executive Vice President, Chief Strategy Officer, Dassault Systèmes
OUR SPONSORS
Thank you to all of our 2016 Science in the Age of Experience Sponsors.
Their sponsorship helps make this event a success. PLATINUM SPONSOR
Astrix is a professional services and staffing firm focused on serving the scientific and
engineering communities. Our experts offer an end-to-end portfolio of professional services for
informatics and laboratory operations workflows. Founded in 1995 with 8 offices around the
world, we provide solution experts with advanced technical skills in your scientific domain.
Right people! Right Now!
GOLD SPONSORS
Founded in 1992, CST offers the market's widest range of 3D electromagnetic field simulation
tools. CST develops high-performance software for the simulation of electromagnetic fields in
all frequency bands. Today, the company enjoys a leading position in the 3D EM simulation
market and employs 260 personnel around the world.
LabAnswer is the world’s leading, vendor-independent scientific informatics consultancy. We
provide insights and expertise for the selection, design, deployment, and support of enterprise
scientific data systems. We are a preferred partner of leading science organizations worldwide
because we equip them to make the critical decisions needed to realize the promise of their science.
SILVER SPONSORS
BRONZE SPONSORS
ADDITIONAL SPONSORS
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CONTENTS
Keynote Speakers—Monday, May 23
6
Agenda—Monday, May 23
7
Agenda—Tuesday, May 24
8
Agenda—Wednesday, May 25
18
BIOVIA Keynotes, Activities and Training
28
BIOVIA Integrated Solutions
33
SIMULIA Keynotes, Activities and Training
34
SIMULIA Integrated Solutions
36
Guide to Presentation Abstracts
44
Science in the Age of Experience Presentation Abstracts
47
Index
97
Venue Maps
98
5
KEYNOTE SPEAKERS
Science in the Age of Experience Keynote Speakers
Science in the Age of Experience opens on Monday, May 23, with a morning of Technology
Updates (see SIMULIA section, page 41) and a special afternoon of plenary material, including
speakers such as Bernard Charlès, President and CEO of Dassault Systèmes, BIOVIA CEO Max
Carnecchia, SIMULIA CEO Scott Berkey and two keynote speakers who will highlight the emerging
role in using the virtual world to unite simulation and materials.
Professor Martin Karplus
2013 Nobel Prize Winner for Chemistry
Martin Karplus was born in Vienna,
Austria, in 1930. He received his BA from
Harvard College in 1950 and his PhD from
Caltech in 1953. He worked at Oxford
University as an NSF postdoctoral fellow
from 1953 until 1955, when he joined
the faculty of the University of Illinois.
In 1960 Karplus became professor at
Columbia University, and in 1966 at Harvard University. He was
named Theodore William Richards Professor of Chemistry there
in 1979. He is also Professeur Conventionné at the Université
Louis Pasteur. He is a member of the National Academy of
Sciences (USA), the American Academy of Arts & Sciences,
and a foreign member of the Netherlands Academy of Arts &
Sciences and the Royal Society of London. He is a Commander
in the French Legion of Honor. He has received honorary
degrees from the University of Sherbrooke, the University of
Zurich, and Bar-Ilan University, as well as numerous awards for
his many contributions to science, including the 2013 Nobel
Prize in Chemistry.
Early in his career Karplus studied magnetic resonance
spectroscopy; of particular interest was his theoretical analysis
of nuclear spin-spin coupling constants. He made fundamental
contributions to the theory of reactive collisions between small
molecules based upon trajectory calculations. He was one of
the first researchers to apply many-body perturbation theory
to atomic and molecular systems. He has studied quantum
mechanical processes in biological molecules, such as the
bonding of oxygen to hemoglobin and the photochemistry of
visual pigments. His more recent work has been concerned with
the development of molecular dynamics and other simulation
methods for the elucidation of the properties of proteins and
nucleic acids. He is now studying enzymatic reactions, protein
folding, and the function of biomolecular motors.
Over the years, Dr. Karplus has conducted research in many
areas of theoretical chemistry and biochemistry and has
presented his results in over 800 journal articles and book
chapters, as well as two books. His primary interest has been
to develop and employ theoretical methods for increasing
our understanding of chemical and biological problems. His
contributions have been instrumental in the transformation
of theory from a specialized field to a central part of modern
chemistry and more recently of structural biology.
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Mark A. Meili
The Procter & Gamble Co.
Director of Modeling and Simulation
Mark A. Meili is Director of Modeling
and Simulation for The Procter &
Gamble Company in Cincinnati, Ohio.
He has held a variety of technical and
management positions in both R&D and
Product Supply Engineering. Mark has
been both a practitioner and champion
of first principles understanding to
reduce risk and enable robust technical decision making
throughout his 29-year professional career. Mark first
became involved in simulation as a learning tool in his quest
to improve scale-up for a variety of multi-phase chemical
processes. Mark received two Bachelor of Science degrees
from Kansas State University, one in Mechanical Engineering
and one in Grain Science.
Simulation-Led Innovation: Using Simulation
to Complement Theory and Experiment for
Technical Learning
Four billion times a day, P&G brands touch the lives of people
around the world. At P&G, our people work to make sure those
brands live up to their promise to make everyday life just a little
bit better, now and for generations to come. Modeling and
simulation is a vital tool to assure we can meet these promises.
Predicting consumer experience of everyday products is
usually a multidiscipline problem requiring contributions from
mechanical, chemical, biological and other scientific domains.
These interactions, by their very nature, are multi-scale ranging
from the chemical bonds that determine interface behavior and
material structure to the large scale manufacturing systems used
to produce products around the world. The multidisciplinary
nature of these problems also necessitates democratization of
simulation knowledge throughout the organization to others
who are not experts in these fields.
AGENDA—MONDAY, MAY 23
8:00
REGISTRATION OPENS ON FOURTH FLOOR
10:00
BREAK IN GLOUCESTER
10:30
TECHNICAL PROGRAM BEGINS
SIMULIA Technology Updates (see page 41)
11:15
SIMULIA Technology Updates (see page 41)
12:00
EXHIBIT HALL AND 3DEXPERIENCE PLAYGROUND OPENS Salons A-E
LUNCH IN GLOUCESTER ON THIRD FLOOR
1:00
CONFERENCE KICKOFF, Salons F & G
1:05
WELCOME: Max Carnecchia, BIOVIA CEO, Scott Berkey, SIMULIA CEO
1:15
EXECUTIVE REMARKS: Bernard Charlès, President & CEO, Dassault Systèmes
1:45
INNOVATING WITH SCIENCE: Max Carnecchia, BIOVIA CEO, Scott Berkey, SIMULIA CEO
2:00
KEYNOTE: Professor Martin Karplus, 2013 Nobel Prize Winner for Chemistry
2:30
BREAK: Exhibit Hall and 3DEXPERIENCE Playground, Salons A-E
3:00
KEYNOTE: Mark Meili, Director of Modeling and Simulation, The Procter & Gamble Co.
3:30
TECHNOLOGY FOR SCIENCE: Reza Sadeghi, BIOVIA Chief Strategy Officer,
and Bruce Engelmann, SIMULIA R&D VP & CTO
5:00
RECEPTION: Exhibit Hall and 3DEXPERIENCE Playground, Salons A-E
Innovating with Science Scott Berkey, SIMULIA CEO, and Max Carnecchia, BIOVIA CEO, welcome everyone to Science in the
Age of Experience—the largest science gathering hosted by Dassault Systèmes this year. Scott and
Max will discuss how Dassault Systèmes BIOVIA and Dassault Systèmes SIMULIA are addressing
key industry challenges and how together industries transform to create innovative products that
are smarter, personalized, lighter, durable, sustainable, and cost-effective. Technology for Science in the Age of Experience
Delivered by Reza Sadeghi, BIOVIA Chief Strategy Officer and
Bruce Engelmann, SIMULIA R&D VP & Chief Technology Officer
Reza Sadeghi and Bruce Engelmann will demonstrate the synergy and power of leveraging
BIOVIA and SIMULIA solution experiences together to change the game of Science in the Age
of Experience and accelerate science-based innovations for Products, Nature and Life. Learn
how BIOVIA, SIMULIA and our 3DEXPERIENCE platform make possible unparalleled atomsto-product; multiscale and multiphysics; modeling and simulation to unlock the value of key
megatrends such as precision medicine, additive manufacturing, advanced materials and more.
7
AGENDA—TUESDAY, MAY 24
7:30
BREAKFAST IN GLOUCESTER ON THIRD FLOOR
8:00
INTEGRATED SOLUTIONS SESSION: Can Your Lab Operations be Driven by R&D Data?
Zifo Technologies, Room: Arlington, 3rd floor
8:30
Dassault Systèmes, BIOVIA and Science
Max Carnecchia, BIOVIA CEO, Salons F&G
8:45
Girish Aakalu, VP Scientific Affairs North America, Ipsen
9:15
Improving Collaborative Drug Discovery with a Fully Capable, Cloud-based SAR Data Exchange Platform
Jim Connelly, Head Global Research Data Management, Sanofi
9:45
Measuring Success by Leveraging Value-Realization Practices
Kate Lusczakoski, Director, BIOVIA Value Engineering, Fellow, BIOVIA Science Council, BIOVIA
10:00
BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND: SALON A–E
10:30
Building Collaboration in the Age of Information Security
David Misemer, IT Director, 3M
11:00
Holistic Lab: Build Lab Data "Social Network"
Gang Xue, Scientific Director, Amgen
11:30
From Apps to Experiences: Transforming Science with the 3DEXPERIENCE Platform
Ted Pawela, Sr. Director, Portfolio and Product Management, BIOVIA
12:30
LUNCH IN GLOUCESTER
INTEGRATED SOLUTIONS SESSION:
Learn How Email Automation Saves Mission-Critical Data for DocCompliance Users Across the Enterprise
AdLib Software, Room: Arlington, 3rd Floor
1:00
EXETER
SUFFOLK
MANUFACTURING PROCESS DESIGN,
PERFORMANCE AND IMPROVEMENT
QUALITY & COMPLIANCE
2:00
Made Right and Compliant First Time: Business
Benefits of Integrating the Manufacturing Process
and Quality Enterprise
Kate Lusczakoski, BIOVIA
Quality & Compliance Executive Keynote
Kevin O’Leary, BIOVIA
2:45
Leveraging Derived Parameters, Old and New
Larry Fiegland, BIOVIA
3DEXPERIENCE and QUMAS Roadmap to the Future
Donal O’Brien, BIOVIA
3:30
BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND SALONS A-E
4:00
Discoverant OSIsoft PI AF/EF Interface Implementation
Steve Kane, Baxalta
Annual QUCOMM Update
Daryn Berger, Vertex Pharmaceuticals
4:45
Pipeline Pilot 101 for Discoverant Users
Heather Arnaiz and Karri Unruh, BIOVIA
Extending the Value of Your License to Cure
Solutions with Professional Services
Sean Winslow, BIOVIA
5:30
BIOVIA OFFSITE NETWORKING DINNER: JILLIAN'S LUCKY STRIKE BUSES DEPART 6:00 PM - MEET ON 2ND FLOOR NEAR CHAMPIONS SPORTS BAR
8
DARTMOUTH
CLARENDON
PREDICTIVE SCIENCES
IN LIFE SCIENCES RESEARCH
COLLABORATIVE SCIENCE
IN LIFE SCIENCES RESEARCH
BIOVIA's Predictive Modeling Strategy
Adrian Stevens, BIOVIA
Using Pipeline Pilot to Drive Large Scale Visualizations
in DXP Using Information Link
Jacquelyn Klug-McLeod, Pfizer
3DEXPERIENCE and BioPLM
Nicolas Froloff, BIOVIA
Auto-Generating Components to Access Services
with Patterns
Steven Rieth, Pfizer
Characterization and Cleaning of Scientific
Data and Models
Dana Honeycutt, BIOVIA
The BioRegistration Journey at GSK
Leah O'Brien, GSK
Lead Optimization through Rapid Estimation of Relative
Binding Affinities: Multiple Gene Family Evaluation
Sirish Kaushik Lakkaraju, Pfizer
Preparing for an App-Driven World in
Scientific Informatics
John Conway, LabAnswer
Tuesday's agenda continues on the next page.
9
7:30
BREAKFAST IN GLOUCESTER ON THIRD FLOOR
8:00
INTEGRATED SOLUTIONS SESSION: Can Your Lab Operations be Driven by R&D Data?
Zifo Technologies, Room: Arlington, 3rd floor
8:30
Max Carnecchia, BIOVIA CEO, Salons F&G
8:45
Girish Aakalu, VP Scientific Affairs North America, Ipsen
9:15
Improving Collaborative Drug Discovery with a Fully Capable, Cloud-based SAR Data Exchange Platform
Jim Connelly, Head Global Research Data Management, Sanofi
9:45
Measuring Success by Leveraging Value-Realization Practices
Kate Lusczakoski, Director, BIOVIA Value Engineering, Fellow, BIOVIA Science Council, BIOVIA
10:00
BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND: SALON A–E
10:30
Building Collaboration in the Age of Information Security
David Misemer, IT Director, 3M
11:00
Gang Xue, Scientific Director, Amgen
11:30
From Apps to Experiences: Transforming Science with the 3DEXPERIENCE Platform
Ted Pawela, Sr. Director, Portfolio and Product Management, BIOVIA
12:30
1:00
LUNCH IN GLOUCESTER
Learn How Email Automation Saves Mission-Critical Data for DocCompliance Users Across the Enterprise
AdLib Software, Room: Arlington, 3rd Floor
ARLINGTON
BERKELEY
UNIFIED DEVELOPMENT LAB
UNIFIED QUALITY CONTROL LAB
2:00
The Lab in the Age of Experience
Gene Tetreault, BIOVIA
2:45
Unifying the Right Tools, Technology and Talent for Laboratory Workflow Optimization
Robert Walla, Astrix
3:30
BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND SALONS A-E
4:00
Applying Semantic Web Technologies to Instrument Integration with ONELab Foundation
Don Rolph, Amgen
Dave Kostin, Amgen
4:45
Latest Enhancements, Integrations and New Product
Innovation for the Development Lab
Dennis Curran, BIOVIA
5:30
BIOVIA Capabilities for the QC Lab Today
and in the Future
Dan DeAlmeida, BIOVIA
BIOVIA OFFSITE NETWORKING DINNER: JILLIAN'S LUCKY STRIKE BUSES DEPART 6:00 PM - MEET ON 2ND FLOOR NEAR CHAMPIONS SPORTS BAR
10
FAIRFIELD
PREDICTIVE MODELING AND COLLABORATIVE
SCIENCE FOR CHEMICALS AND MATERIALS
SCIENCE RESEARCH
A Computational Tool-Box for Pharmaceutical Chemical
Development and Analytical Chemistry Scientist
Yuri Abramov, Pfizer
Simulating Crosslinking Using Materials Studio
Jason DeJoannis, BIOVIA
Understanding Molecular Sieve Structures by Combining
Experimental and Simulated Molecular Spectra
Istvan Halasz, PQ Corp
Advances in Density Functional Calculations: Current
and Future Technologies
Stewart Clark, Durham University
11
7:30
BREAKFAST IN GLOUCESTER
8:00
REGISTRATION ON FOURTH FLOOR
SIMMONS
TUFTS
TRANSPORTATION & MOBILITY
TRANSPORTATION & MOBILITY II
8:30
Coupled Eulerian-Lagrangian Contact Modeling for
Airbag Deployment Simulation
Bastian Näser, BMW AG
Prediction of Aluminum Wheel Distortion under
Pothole Impact
Rajesh Jeba, FCA Engineering
9:15
Integration for installation Upper Body of the European Cylinder Head Valve Guide Wear Analysis of Internal
Semi-bonnet Truck
Combustion Engine
Ji Young Song, Hyundai Motor Company
Cherng-Chi Chang, General Motors
10:00
BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND: SALONS A-E
10:30
Model Order Reduction Methods for Explicit FEM
Çağatay Çobanoğlu, Technische Universität München Fachgebiet Computational Mechanics
Optimization of Heavy-Duty Cylinder Head Gasket
Manufacturing Press Using Isight
Jason Tyrus, Dana Holding Corp
11:15
Simulation of Caulking Process using Abaqus/Explicit
Seshadri Vasudevan, Mercedes Benz Research and
Development India
Simulation of Glass Forming of Automotive Windshields
Francisco Alberto Celestino Guajardo,
Colorado School of Mines
12:00
LUNCH IN GLOUCESTER
SIMMONS
TUFTS
1:00
INTEGRATED SOLUTIONS
Why Intel for HPC workloads
Michael Moretti, Intel
FSI Simulation on a Reed Valve using SC/Tetra and Abaqus
Yuya Ando, Cradle North America Inc.
1:30
Stratasys’ Additive Manufacturing Solutions
Peter Secor, Stratasys
Fracture Mechanics and 3D Crack Mesh Analysis Software
Greg Thorwald, Quest Integrity
2:00
TECHNOLOGY UPDATE:
Fatigue & Durability (fe-safe)
TECHNOLOGY UPDATE:
Additive Manufacturing
2:45
Evaluation of Brain Stresses during Car Crashes using
the SAE Baja Racecar Test Vehicle
Xiaorui Shangguan, Illinois Institute of Technology
Bond Model Development for Pretensioned Concrete
Crossties with User Materials in Abaqus
Hailing Yu, Volpe National Transportation
3:30
BREAK IN EXHIBIT HALL / 3DEXPERIENCE PLAYGROUND
4:00
EXECUTIVE REMARKS: Scott Berkey, SIMULIA CEO, SALONS F & G
4:20
KEYNOTE: Structural Design and Simulation: New Methods and a New Paradigm for the Future,
Silvestre T. Pinho, Professor, Imperial College London, SALONS F & G
5:00
SIMULIA PRESENTATION: Accelerating Innovation with the 3DEXPERIENCE Platform, SALONS F & G
6:30
BOARD BUSES FOR SIMULIA BANQUET: MUSEUM OF SCIENCE
12
SALON K
REGIS
CONSUMER PACKAGED GOODS
& CONSUMER GOODS & RETAIL
AEROSPACE & DEFENSE
Sloshing Analysis of Baffled Containers
Using SPH Method
Alireza Kermani, Veryst Engineering
Crack Damage Tolerance Assessment and Leak-beforebreak Flow Simulation
Jian Ye, Eaton Aerospace
Three-dimensional Numerical Foot Model for Running
Shoe Designing
Tsuyoshi Nishiwaki, ASICS Corporation
Predictions of Fluid/Structural Interactions using
Abaqus Cosimulation and Advanced CFD Solvers
Peter Cavallo, Combustion Research
and Flow Technology
Virtual Modeling's Role in Improving Impact
Performance of Plastic Containers
Sumit Mukherjee, Plastic Technologies, Inc.
Modeling of Wave Propagation Through Soft
Electrically Tunable Metamaterials
Michael Jandron, Naval Undersea Warfare Center
Evaluation of Tennis Racket Swing During Impact
with a Tennis Ball
Feija Zhang, llinois Institute of Technology
Design and Test of a Canard for a Missile
Ali Yetgin, Roketsan Missile
SALON K
REGIS
Private and Public Cloud High Performance Computing
for CAE Simulation: Benefits and Challenges
Rodney Mach, TotalCAE
Innovative Solutions for Complex FEA Problems
Scott Shaw, SGI
TECHNOLOGY UPDATE:
Plastics on the 3DEXPERIENCE Platform
TECHNOLOGY UPDATE:
CFD on the 3DEXPERIENCE Platform
The Journey to Meet P&G's Needs for Democratizing
and Managing Simulation via the 3DEXPERIENCE V+R
Process Applications
Krista Comstock, The Procter & Gamble Company
Weight Optimization of a Landing Gear Steering Collar
using Tosca in Abaqus
Syed Noman Husainie, Aventec, Inc.
BUSES DEPART 6:30 PM—MEET NEAR ESCALATORS ON FOURTH FLOOR
13
7:30
8:00
WELLESLEY
HARVARD
NATURAL RESOURCES
LIFE SCIENCES
8:30
Coupling Reservoir Simulation and Geomechanical
Modeling to Improve the Analysis of Hydrocarbon
Reservoir Behavior
Wouter van der Zee, Baker Hughes
Thermal - Fluid Co-Simulation of DNA
Sequencing Thermocycler
Mitchell Gatesman, Becton Dickinson
9:15
Reservoir Driven Production Risk Management
for Oil & Gas Operations
Indy Chakrabarti, Paradigm Geophysical
Stiffness Mapping in Biological Materials Based on
MRI Imaging and Topology Optimization
Luyao Cai, Purdue University
10:00
10:30
Modeling Natural Fracture Activation Using a
Poro-elastic Fracture Intersection Model
Mahdi Haddad, The University of Texas at Austin
BIOMODEX 3D Printed Surgical Simulators
Sidarth Radjou, BIOMODEX
11:15
Mechanics of Hydraulic Fracturing in Ultra-low
Permeability Formations: the Role of Cavitation
and Sorption
Sandeep Kumar, ExxonMobil
Simulating Blood Flow in a Living Heart Model
Andrey Aksenov, CAPVIDIA
12:00
LUNCH IN GLOUCESTER
WELLESLEY
HARVARD
1:00
1:30
Harmonizing High-Tech Product Performance and
Safety by Electromagnetic and Structural Co-Design
David Johns, CST
Simulation Data Management in Pre and Post Processing
Dimitrios Katramados, BETA CAE Systems
Load Measurement and Linear Dynamics with
Wolf Star Technologies
Tim Hunter, Wolf Star Technologies
2:00
TECHNOLOGY UPDATE:
Simulation Driven Design
TECHNOLOGY UPDATE:
Industry Applications of the 3DEXPERIENCE Platform
2:45
Implementation of an Elasto-viscoplastic Constititive
Law in Abaqus/Standard for an Improved
Characterization of Rock Materials
Giorgio Volonté, Eni S.p.A.
A Finite Element Model of the Intervertebral Disc
Sheila Buswell, Saint Louis University
3:30
4:00
EXECUTIVE REMARKS: Scott Berkey, SIMULIA CEO, SALONS F & G
4:20
KEYNOTE: Structural Design and Simulation: New Methods and a New Paradigm for the Future,
Silvestre T. Pinho, Professor, Imperial College London, SALONS F & G
5:00
SIMULIA PRESENTATION: Accelerating Innovation with the 3DEXPERIENCE Platform, SALONS F & G
6:30
BOARD BUSES FOR SIMULIA BANQUET: MUSEUM OF SCIENCE
14
BOSTON UNIVERSITY
SALON H
HIGH TECH
INDUSTRIAL EQUIPMENT
Predicting Post-Drop Failure of Ceramic Chip Capacitors
using Abaqus/Explicit
Vijeesh Vijayan, Bosch
Application of Abaqus-FMI Co-simulation in Metal
Casting Press-Forming Process
Sheng Li, CISDI Engineering Co., Ltd.
Automated Translation of Non-Symmetric BGA Design
Analytical Frame Design for Commercial ZTR Mowers
into Copper-Featured Three-Dimensional Abaqus Models Alesha Kobiske, Ariens
Gilad Sharon, DfR Solutions
Vibrations Reduction and Control System Improvement
using Abaqus/Dymola Co-Simulation
Christophe Baroux, Digital Product Simulation, Inc.
Investigation on the Influence of Geometric Parameters
of Rectangular Cross-Sections on Buckling of the
Structure
Neha Arieckal Jacob, United Arab Emirates University
Automated Framework to Predict Field Failure Rate for
Handheld Electronic Devices
Manish Maheshwari, Motorola Mobility LLC
Crack Analysis in Molybdenum Glass Melting Electrode
Abhishek Bhattacharyya, H.C. Starck
BOSTON UNIVERSITY
SALON H
CAE in a Petaflop Computing World
Gregory A Clifford, Cray
Simpleware and Abaqus: Doing More With 3D
Image Data and Simulation
Kerim Genc, Simpleware
TECHNOLOGY UPDATE:
Abaqus Solvers (/Standard & /Explicit)
TECHNOLOGY UPDATE:
Multibody Systems (Simpack and Abaqus)
Structural – Electromagnetic Co-Design of a Smartband
Harish Surendranath, SIMULIA
A Model for Self-Pierce Rivet Process of a Boron Steel
Martha Guerrero-Mata, Colorado School of Mines
BUSES DEPART 6:30 PM—MEET NEAR ESCALATORS ON FOURTH FLOOR
15
7:30
8:00
SALON I
SALON J
COMPOSITES
MATERIALS
8:30
Analysis Tools for Accelerated Development of
Composite Materials
Jonathan Buck, ATA Engineering
A Hyperelastic Visco-elasto-plastic Damage Model
for Rubber Materials
Kai Oide, Mechanical Design and Analysis
9:15
Prediction of Nonlinear Viscoelastic Recovery of
Thermoplastic Polymers using Abaqus Parallel
Rheological Framework (PRF) Model
Mohammed Karim, DuPont Performance Materials
Improving Rubber Tread Designs Against Heat BuildUp Under Cyclic Loading Using Strain Energy
Sergio Arias, Camso
10:00
10:30
Simplifying Composites Process Modeling in
Abaqus with COMPRO
Anthony Floyd, Convergent Manufacturing
Using an Intermediate Validation Step to Increase
CAE Confidence
Christopher Wolfrom, Cornell University
11:15
Multi-Scale Modeling of Textile Reinforced Tissue
Engineered Heart Valves
Scott Stapleton, University of Massachusetts Lowell
Modeling of Hytrel® Thermoplastic Elastomer
Material for High-Strain Cyclic Loading
Pieter Volgers, DuPont de Nemours
12:00
LUNCH IN GLOUCESTER
SALON I
SALON J
2:00
TECHNOLOGY UPDATE:
Structures on the 3DEXPERIENCE Platform
TECHNOLOGY UPDATE: Process Automation &
Design Exploration
2:45
A Simulation Approach to Combine Multi-Scale Model
Features with Failure at Composites Level for Short
Fiber Reinforced Polymer
Zhenyu Zhang, DuPont de Nemours
Coupled Thermomechanical Forging Simulations
and the Effect of Material Constitutive Laws
Stuart Brown, Veryst Engineering
3:30
These breakout sessions are of particular interest to both BIOVIA and SIMULIA attendees.
NOTES
16
7:30
8:00
NANTUCKET
8:30
9:15
Data Science in the Age of Experience: Industrialized Machine Learning
Gary Burch & Christophe Chotteau, EXALEAD
3DEXPERIENCE–the Platform for Sustainable Innovation and Growth
Andy Kalambi, VP, 3DEXPERIENCE Platform
10:00
10:30
Science Driven Design the SOLIDWORKS Way
Shrikant Savant and Justin Burton, SOLIDWORKS
11:15
Industrial Adoption of Additive Manufacturing
Phillippe Savignard (CATIA), Patrick Touron (DELMIA), Chris Whiting (SIMULIA)
12:00
LUNCH IN GLOUCESTER
NANTUCKET
1:15
BIOSERENITY and EXALEAD Partners for Re-inventing Life Experience
Pierre-Yves Frouin ( Bioserenity) & Alain Quemat, EXALEAD
2:00
Multiphysics & Mechatronics
Fabrice Pinot, CATIA
2:45
Design Analysis & Validation for SOLIDWORKS 3DEXPERIENCE
Nicolas Tillet, SOLIDWORKS
3:30
4:00
ENOVIA for Science
ENOVIA
NOTES
17
AGENDA—WEDNESDAY, MAY 25
7:30
8:00
EXETER
SUFFOLK
8:30
Using BIOVIA Discoverant and QUMAS iX for Data
Exchange and Collaboration Between Sponsors and
Contract Manufacturing Organizations
Larry Fiegland, BIOVIA
Business Intelligence with DocCompliance
Jeanne Maciel, Biogen
9:15
Lot Genealogy—Making the Most of Weighted Averages
Karri Unruh, BIOVIA
DocCompliance: Overview of New Features and
Enhancements
Murtuza Vasowalla, BIOVIA
10:00
10:30
Integrating Systems in the Next Generation
Manufacturing Paradigm
Yvonne Ledford, Biogen
Enabling Collaboration with External Third Parties
Aaron Marsh, Biogen and Aidan Quilligan, BIOVIA
11:15
Optimizing Performance for 24/7 Deployments
Joe Ruth and Karri Unruh, BIOVIA
Paper to Electronic: Strategies and Solutions to
Eliminate Paper from Manufacturing
Chris Frost, BIOVIA
12:00
12:15
LUNCH IN GLOUCESTER
Get the Most Out of Your Quality Management System with Custom Reporting, Room: Arlington, 3rd Floor
EXETER
SUFFOLK
1:00
Exploring the Synergies Between Discoverant and
Pipeline Pilot – Templated Reporting
Victor Shashilov, Regeneron and Larry Fiegland, BIOVIA
ProcessCompliance: Overview of New Features and
Enhancements
Chris Frost, BIOVIA
1:45
Discoverant Implementation Best Practices
Ken Forman, BIOVIA
Panel: Enhancing the Capabilities of License to Cure
Applications with Partner Solutions
Panel Chair: Murtuza Vasowalla, BIOVIA
2:30
Designing Hierarchies That Suit You Well
Aaron Spence, BIOVIA
Ask the Experts Panel: How Can License to Cure
Applications Solve a Pressing Business Problem today?
Chris Frost, BIOVIA and Murtuza Vasowalla, BIOVIA
3:15
3:45
Discoverant 2017 Sneak Peak and Roadmap
Karri Unruh, BIOVIA
4:30
Quality & Compliance Executive Q&A
Kevin O'Leary, BIOVIA
CLOSING REMARKS AND FAREWELL TOAST IN SALONS F & G
18
DARTMOUTH
CLARENDON
PREDICTIVE SCIENCES IN LIFE SCIENCES
RESEARCH
COLLABORATIVE SCIENCE IN
LIFE SCIENCES RESEARCH
Exposing Predictive Models in Insight
Matt Sage, BIOVIA
Infrastructure is Data Too: Integrating Support
Processes to Improve Workflows and Data Quality
Jennifer Heymont, Eisai
Academic/Small Company Collaborations for Rare
and Neglected Diseases
Sean Ekins, Collaborations in Chemistry
Using Insight for Excel as a General Query Tool
Gabe Weatherhead, Takeda
Lightning Round: Short Presentations from Pfizer, Ariad, LabAnswer, Saber Informatics,
and BIOVIA About Interesting Work in the Predictive or Collaborative Sciences Areas
Chair: Ton van Daelen, BIOVIA
DARTMOUTH
CLARENDON
Molecular Modeling: From Artisan to Automation
Adrian Stevens, BIOVIA
The Gilead Structure Portal – An Integrated
Solution to Organize and Disseminate 3D
Structural Project Data
Uli Schmitz, Gilead
Predicting Changes in Antibody-antigen
Binding Affinities
Sarah Sirin, Abbvie
The Future Shape of your Discovery Infrastructure
Eric Le Roux, Discngine
Leveraging 2D and 3D/Structure-based Predictive
Capabilities in Early Antibody Discovery
Neil Eccles, BIOVIA
Cloud Solutions For Collaborative Sciences
Frederic Bost and Ton van Daelen, BIOVIA
Biological Safety Modeling
Nicholas Froloff, BIOVIA
Further Extending Pipeline Pilot in BIOVIA Workbook:
Beyond Toolbar Buttons and the Analyze Tab
Marty Berliner, Pfizer
Wednesday's agenda continues on the next page.
19
7:30
ARLINGTON
BERKELEY
8:30
BIOVIA LES Implementation in Support of Biologics Clinical Manufacturing:
Lessons Learned From a Multi-Year Journey
Lori Harmon, Bristol-Myers Squibb
9:15
Instrument Integration: Bridging Parallel Efforts Using LES in Quality Control and
Instrument Data Acquisition (IDA) in Development Labs
Jay Stimpson, Amgen
Janford Leivera, Amgen
Matt Potter-Racine, Amgen
10:00
10:30
Further Extending Pipeline Pilot in BIOVIA Workbook:
Beyond Toolbar Buttons and the Analyze Tab
Marty Berliner,Pfizer
Data Migration - What to Consider
Daniel Hunnyman, AstraZeneca and
Gene Tetreault, BIOVIA
11:15
Holistic Lab Program Management: How to Deliver
Transformational Informatics Portfolio
Huck Shapiro, Amgen and Ken Raiche, BIOVIA
Integrating Lab Systems to Gain Efficiency at
Analytical Operations and QC Labs
Sachin Sontakke, Gilead Sciences
12:00
12:15
LUNCH IN GLOUCESTER
Get the Most Out of Your Quality Management System with Custom Reporting, Room: Arlington, 3rd Floor
ARLINGTON
BERKELEY
1:00
The Role of Unified Laboratory Management in the
Seamless Qualification Solution Experience
Michael Doyle, BIOVIA
Usage of an Inventory Management and Laboratory
Execution System at PPD Lab Operations
Jennifer McClung, PPD
1:45
The ELN Selection Process
Sheila Davis, RJ Reynolds
Allison Joyce, RJ Reynolds
New Adventures in Digital Continuity: Mastering
Material Data to Drive Predictable Outcomes
Anne Sefried, BIOVIA
2:30
Integrating Laboratory Informatics with a Process
Intelligence System for Parenteral Formulations
Dadong Li, Bristol-Myers Squibb and Ed Keefe, BristolMyers Squibb
Use of Agile Methodologies to Accelerate BIOVIA LES
Implementation
David Redding, Perrigo
3:15
3:45
Panel Discussion: How Can the Laboratory Bring Value to the Organization?
Lead by Daniela Jansen, BIOVIA
4:30
20
FAIRFIELD
PREDICTIVE MODELING AND COLLABORATIVE SCIENCE
FOR CHEMICALS AND MATERIALS SCIENCE RESEARCH
Current Developments in Discrete Materials Modeling
Stephen Todd, BIOVIA
Developing Useful Models for Mining-Related Research
Projects: A Bottom-Up Approach
Andrew Jackson, Solvay
A Virtual Materials Lab in Support of Additive Manufacturing
Nick Reynolds, BIOVIA
Combining Quantum Chemical Calculations with Vibrational Spectroscopies
for Understanding Reaction Mechanisms on Catalytic Surfaces
Simon Podkolzin, Stevens Institute of Technology
FAIRFIELD
Multiscale Modeling: A Brief Review
Billions and Billions of Molecules: Exploring Chemical Space
for Functional Molecular Materials
Alan Aspuru-Guzik, Harvard University
Round Table Discussion: Where Next for Materials Modeling?
21
7:30
8:00
BOSTON UNIVERSITY
HARVARD
8:30
9:15
MEET THE EXPERTS:
NATURAL RESOURCES
ARCHITECTURE ENGINEERING
& CONSTRUCTION
Numerical and Experimental Study on the
High Strain Rate Deformation of Tubes for
Perforating Gun Applications
Davide Gallina, Tenaris Dalmine SpA
Applicability of Modal Dynamic Method in Seismic and
Aircraft Crash Analyses of NPP Structures
Vlaldimir Korotkov, Atomenergoproekt
10:00
10:30
INTEGRATED SOLUTIONS:
Z-set to Abaqus: Efficient Tools for Advanced Material
Modeling, Damage Analysis and 3D Crack Propagation
Simulation
Nikolay Osipov, Transvalor
11:15
SIMULIA PRESENTATION: New Applications and New Technology in the Power of the Portfolio, SALONS F & G
12:00
KEYNOTE: From the Barn to Best-In-Class: Evolution of Simulation at Trek Bicycles,
Jay Maas, Analysis Engineer, Trek Bicycle Corp., SALONS F & G
12:45
1:45
2:30
LUNCH IN GLOUCESTER
BOSTON UNIVERSITY
HARVARD
TECHNOLOGY UPDATE:
Abaqus Solvers (/Standard & /Explicit)
TECHNOLOGY UPDATE:
Industry Applications of the 3DEXPERIENCE Platform
ENERGY, PROCESS & UTILITIES
ARCHITECTURE ENGINEERING
& CONSTRUCTION
SPDM at GE Design System Collaboration
Andrew Kneeland, GE Power
A Nonlinear Model for Studying the Interface's
Behavior Bloc/Mortar in a Heritage Building and
Numerical Modeling by Abaqus
Hicham Fihri Fassi, Université Hassan 1 FSTS
3:15
3:45
Computing Durability for Elastomer Products
William Mars, Endurica
Durability Assessment Showcase of a High Pressure
Pipe Component using SIMULIA Technology
Anders Winkler, Dassault Systèmes
4:30
Finite Element Thermal Crack Analysis of Prestressed
Double Tee Canopy Beam
Weidong Wu, University of Tennessee at Chattanooga
22
SALON H
REGIS
MEET THE EXPERTS:
Process Automation & Design Exploration
MEET THE EXPERTS:
(Tosca technology) and Additive Manufacturing
FATIGUE & DURABILITY
AEROSPACE & DEFENSE
Metal Fatigue: Failure and Success
John Draper, SIMULIA
Abaqus Scalability for Small and
Medium Size Problems
William Villers, TEN TECH LLC
WAimat Suite – Advanced Material Failure Modeling
Badri Hiriyur, Thornton Tomasetti Weidlinger Applied
Science
Rapid and Definitive Simulation of
Next Generation Electronics
Craig Hillman, DfR Solutions
SALON H
REGIS
TECHNOLOGY UPDATE:
Multibody Systems (Simpack and Abaqus)
TECHNOLOGY UPDATE:
MULTI-INDUSTRY
Ductile Tearing Instability Assessment of a Cracked
Reactor Pressure Vessel Nozzle for Larger Critical Crack
Size Compared to the FAD Method
Greg Thorwald, Quest Integrity Group
High-velocity Impact Damage Modeling of Laminated
Composites using Abaqus/Explicit and Multiscale
Methods
Ivica Smojver, University of Zagreb, Faculty of
Mechanical Engineering and Naval Architecture
ASME Cyclic Creep Evaluation of Critical Piping
Component using CREEP Subroutine and ORNL
Test Data
Brent Saba, Saba Metallurgical and Plant
Engineering Services, LLC
FEA Prediction of Off-Road Tire
Temperature Distribution
Wedam Nyaaba, Missouri University of Science
23
7:30
8:00
8:30
9:15
TUFTS
SIMMONS
MEET THE EXPERTS:
Abaqus/Standard
MEET THE EXPERTS:
CFD on 3DEXPERIENCE Platform and Plastics on
3DEXPERIENCE Platform
NATURAL RESOURCES
OPTIMIZATION
Evaluation of Effects of Trapped Fluid on
Downhole Tool Deformation
Allan Zhong, Halliburton
Optimized Design of Foundations for
Wind Turbine Towers
Javier Rodriguez, Principia
10:00
10:30
Simulating Plastic & Rubber: Time, Temperature
& Large Deformation
Alex Arzoumanidis, Psylotech
11:15
SIMULIA PRESENTATION: New Applications and New Technology in the Power of the Portfolio, SALONS F & G
12:00
KEYNOTE: From the Barn to Best-In-Class: Evolution of Simulation at Trek Bicycles,
Jay Maas, Analysis Engineer, Trek Bicycle Corp., SALONS F & G
12:45
1:45
2:30
LUNCH IN GLOUCESTER
TUFTS
SIMMONS
TECHNOLOGY UPDATE:
TECHNOLOGY UPDATE:
NATURAL RESOURCES
OPTIMIZATION
Mechanisms-Based Fracture Model
for Geological Materials
Tobias Hoeink, Baker Hughes
Topology Optimization of a Lacrosse Head
Rob Stupplebeen, Optimal Device
3:15
3:45
Materials Gateway 4.0 for Abaqus/CAE – Preparation,
Management and Use of Materials Data for Simulation
Peter Cherns, Granta Design Ltd
Quality Control of Pipe Lay and
Riser Dynamic Analysis
Lee Taylor, Taylor Marine Construction Consulting
4:30
Heavy Duty Structural Analysis using
Abaqus in the Cloud
Wolfgang Gentzsch, UberCloud
24
WELLESLEY
SALON K
MEET THE EXPERTS:
Structures on 3DEXPERIENCE Platform and Benefits of
3DEXPERIENCE Platform
MEET THE EXPERTS:
Abaqus/CAE and Modeling Techniques
NATURAL RESOURCES
CONSUMER PACKAGED GOODS & RETAIL
A Simplified 3D Numerical Scheme for Accurate
Calculation of Critical Value of Pressure Draw-down of
Weak Sand Formation
Xinpu Shen, Halliburton
Leveraging Low Cost Body Models for Personal Care
Virtual Product Evaluation
Chris Pieper, Kimberly-Clark Corporation
Dell and the Democratization of HPC
Ed Turkel, Dell
Two-Way Strongly Coupled FSI Simulation using
Abaqus & FlowVision
Sinan Soğancı, Capvidia
WELLESLEY
SALON K
TECHNOLOGY UPDATE:
TECHNOLOGY UPDATE:
NATURAL RESOURCES
MULTI-INDUSTRY
Finite Element Analysis for Understanding
Oil and Gas Well Deformation Mechanisms
Jueren Xie, C-FER Technologies
Analysis of Clothing Pressure on the
Human Body in Motion
Takaya Kobayashi, Mechanical Design and Analysis
Corporation
Flow Induced Vibration Modeling
Bin Zhu, Baker Hughes
Strength Analysis of Thermoplastic Containers Using
Numerical Simulation
Cleber Pagliosa, Grupo Smarttech
25
7:30
8:00
8:30
9:15
SALON I
SALON J
MEET THE EXPERTS:
Abaqus/Explicit
MEET THE EXPERTS:
Multibody Simulation (Simpack and Abaqus)
COMPOSITES
MATERIALS
Design for Optimized Performance
Michael Doyle, BIOVIA
Predicting and Designing Integrated Safety Syringe
for Shelf Life Using Advanced Nonlinear Constitutive
Models in Abaqus
Dinesh Panneerselvam, Unilife Medical Solutions
10:00
12:45
LUNCH IN GLOUCESTER
SALON I
SALON J
1:45
TECHNOLOGY UPDATE:
Structures on the 3DEXPERIENCE Platform
TECHNOLOGY UPDATE:
Process Automation & Design Exploration
2:30
Recent Advances in Composites Forming Simulation
with User-Defined Material Models in Abaqus
James Sherwood, University of Massachusetts Lowell
Deployment of Pipeline Pilot Protocols within the
V+R System of Record
Kip Shaffer, Procter & Gamble
3:15
3:45
Analysis of 3D Steel Concrete
Composite Buildings using Abaqus
Jeyarajan Selvarajah, National University of Singapore
4:30
Multiscale Infill/Lattice Optimization Using RVE
Jing Bi, Dassault Systemes
These breakout sessions are of particular interest to both BIOVIA and SIMULIA attendees.
NOTES
26
7:30
8:00
NANTUCKET
8:30
Simulation and Analytics for Optimized Test Validation
Frédéric Merceron & Alain Quemat, EXALEAD
9:15
Design Guidance with Voxel Structural Analysis
SOLIDWORKS
10:00
10:30
CATIA|SFE CONCEPT—A Comprehensive Paradigm
for Design Modification and Simulation
CATIA
12:00
BRAND LUNCHES (SEE BELOW FOR LUNCH LOCATIONS)
NANTUCKET
1:15
Drive Disruptive Composites Solutions for Clean Energy
CATIA
2:00
ENOVIA for Science
ENOVIA
3:30
4:30
Brand Lunches
Beyond the Breakouts: a 3DEXPERIENCE Platform Roundtable Discussion
Ramesh Haldori, Dassault Sytèmes and Susan Lenzi, Dassault Systèmes, Room: Tremont
Lunch with CATIA
Room: Boylston
NOTES
27
BIOVIA KEYNOTE SPEAKERS
Max Carnecchia
BIOVIA, BIOVIA CEO
Max Carnecchia is the Chief Executive
Officer of Dassault Systèmes BIOVIA.
After acquiring Accelrys in 2014, Dassault
Systèmes announced the creation of
the BIOVIA brand combining Dassault
Systèmes’ own efforts in BioIntelligence,
their collaborative 3DEXPERIENCE
technologies and leading life sciences
and materials science solutions from Accelrys. Prior to this, Mr.
Carnecchia had served as President and CEO of Accelrys and a
member of the Board of Directors since 2009. Mr. Carnecchia
led Accelrys through significant growth and transformation,
successfully transitioning the company to the leading global
provider of Scientific Product Lifecycle Management software
and services.
Mr. Carnecchia holds a Bachelor of Engineering in Electrical
Engineering from The Stevens Institute of Technology. He
serves on the Board of Directors of Guidance Software (NASDAQ:
GUID), which develops and provides software solutions for
cyber security. He also serves on the Board of Directors of ALDA
(Analytical Life Science & Diagnostics Association), an industry
trade association for companies that develop and supply life
science, analytical and diagnostics products and services.
Max Carnecchia, BIOVIA CEO, will review highlights of the
past year at BIOVIA and address BIOVIA’s current strategy and
direction with an emphasis on our most important initiatives
for 2016.
Girish Aakalu
Ipsen, VP Scientific Affairs North America
Bio and abstract not available
at time of printing.
Title: Not available at tiat time of printing
Improving Collaborative Drug Discovery
with a Fully Capable, Cloud-based SAR
Data Exchange Platform
All pharmaceutical companies have built internal Structure
Activity Relationship (SAR) data systems supporting decision
making in drug discovery/lead optimization. These large,
complicated data platforms have become increasingly
burdensome and expensive to manage, evolve and support,
especially with today’s reliance on drug discovery collaboration
and outsourcing. An early adopter of collaborative, cloud-based
SAR data exchange systems, Sanofi continues to evolve towards
a fully capable SAR data sharing and analysis platform “in the
cloud.” The goal is to reduce the cost of internal systems and
create a scalable external SAR informatics system supporting
truly project-centric data analysis. Jim Connelly will discuss
Sanofi’s journey towards an “All Data” environment and current
thinking about reversing the data flow to improve the efficiency
of SAR data analysis in collaborative drug discovery.
Kate Lusczakoski
BIOVIA, Director, BIOVIA Value Engineering, Fellow,
BIOVIA Science Council
Kate Lusczakoski, Ph.D., Director of
Value Engineering and Science Council
Fellow at BIOVIA, received her master's
in neuropsychology and a doctorate
in applied statistics and research
methodology from the University of
Northern Colorado. Lusczakoski has
over a decade of experience consulting
with pharmaceutical/biotechnology companies, health care
organizations and federal agencies to help them achieve their
business initiatives through the use of statistical applications
that optimize operational excellence and data-driven decision
making. She has served as an adjunct professor of applied
statistics at leading Colorado universities, presented at over
40 industry conferences around the globe and contributed to
numerous peer-reviewed publications throughout her career.
Measuring Success by Leveraging
Value-Realization Practices
Continuously monitoring and measuring the value of software
implementations are essential activities to ensure:
Jim Connelly
Sanofi, Global Head R&D
James Connelly, Ph.D. is currently
the Global Head of Research Data
Management at Sanofi Pharma for the
integrated Drug Discovery Scientific
Core Platform. Current efforts focus
on driving a revolution in research
informatics systems that leverages new
information and computer technologies
such as cloud-based research data platforms for collaboration,
semantic technologies, artificial intelligence and “Big/All
Data” technologies to make all relevant data available to drug
discovery researchers.
28
• Software capabilities are aligned with business goals
• Clear understanding of company and industry baselining/
benchmarking
• Data-driven project governance
Kate will share the Key Performance Indicators (KPIs), touching
on how to define, measure and present them using both
documents and dashboards. The presentation will also examine
BIOVIA’s industry baselining/benchmarking system and our
Value Engineering principles with an emphasis on how to apply
“scientific practices” to ensure that customers are making
meaningful, data-driven decisions about their businesses.
BIOVIA KEYNOTE SPEAKERS
David Misemer
3M, IT Director
David Misemer joined 3M in the 1980s
after completing a post-doc in Condensed
Matter Physics at Ames Laboratory in
Iowa. I have spent the majority of my
career in mathematical modeling and
simulation, either as a practitioner or
manager. I have worked in computational
electromagnetics on projects from
photovoltaic devices, guided wave optoelectronics, and RFID.
In 2008 I moved to IT to manage 3M’s high performance
computing (HPC) resources. I now manage a portfolio of
applications and resources that include HPC, CAD/CAE/CAM,
and support for technical knowledge management.
Building Collaboration in the
Age of Information Security
3M’s success as an innovative company is built on a culture
of collaboration, where uncommon connections between a
customer need and a solution are a regular occurrence. An
essential element of the collaboration engine is the ability
to reach out across divisions and businesses engaged in very
different pursuits to find the right technology and expertise.
Enabling and enhancing collaboration is a key consideration
in the design and implementation of our ELN solution. As
the Notebook team moved happily down the collaboration
path, we had to confront new, increased concern about
information security, which led to a new set of competing
design considerations. Recently we have finished a corporatewide deployment within the United States, and we are just
beginning deployment internationally. I will discuss what has
working well, where we’re still learning, and where we hope to
go in 3M’s corporate, global ELN system.
Dr. Gang Xue
Amgen, Scientific Director
Dr. Gang Xue is a Scientific Director at
Amgen Inc. located in Cambridge, MA.
With B.S. degree in Chemistry and B.E.
in Computer Science from Tsinghua
University and Ph.D in Analytical
Chemistry from the Iowa State University,
Gang is currently leading the Digital
Analytics group within Amgen Process
Development organization. His group focuses on cross modality
analytical support for the small molecule pharmaceutical
and large moleucle bioprocess development with the latest
technologies in analytal method development, lab automation
and lab informatics. Gang is the Product Owner for the Amgen
Holistic Lab Proejct in collaboration with BIOVIA’s One Lab
product development. He also is one of the founding member of
Allotrope Foundation. Prior to his current role, Gang worked at
Pfizer as Associate Research Fellow with 11 years of experience
in Analytical Development.
Because of the complexity of the R&D, biotech and
pharmaceutical companies for years had to incorporate multiple
enterprise lab informatics systems to address the multi-facet
business requirements. The resulting disjointed systems with
overlapped functionalities caused user confusion and data
integrity challenges. Costly integration efforts after the fact
only partially addressed the challenge and were typically
vulnerable to recurring infrastructure or system upgrades.
Within the Amgen Holistic Lab project, we initiated a clean
slate solution by establishing the BIOVIA Workbook as a single
user portal and organically connected multiple "peripheral"
applications behind the scene, such as CISPro
Ted Pawela
BIOVIA, Sr. Director, Portfolio and Product Management
Ted Pawela is a Sr. Director in Product
and Portfolio Management, responsible
for the Collaborative Science portfolio of
products at BIOVIA. He has previously
held a number of technical and business
focused roles at Quant Economics, MSC
Software, MARC Analysis Research
Corporation, ANSYS, and LMS Software.
Ted earned an MBA degree from the Instituto de Empresa in
Madrid, an M.S. in Materials Science and Mechanics from
Michigan State University, and a B.S. in Ocean Engineering from
Florida Institute of Technology.
From Apps to Experiences: Transforming Science
with the 3DEXPERIENCE Platform
In today’s innovation economy, customers value “experience”
over everything else. Ted Pawela will discuss the value
and impact of integrating BIOVIA science into with the
Dassault Systèmes 3DEXPERIENCE® platform. During a
short demo, Ted will show how moving BIOVIA science onto
the 3DX platform can transform the ability of science- and
process-based industries to innovate more effectively in
the Age of Experience. The presentation will also include a
discussion of BIOVIA’s roadmap to move to get there. By
leveraging BIOVIA Scientific Services on the 3DX platform,
BIOVIA can radically alter the customer’s journey, moving
the enterprise from disjointed point solutions to INDUSTRY
SOLUTION EXPERIENCES in a new class of collaborative,
interactive, disruptively innovative business environment.
29
BIOVIA TRAINING
MAY 26
7am–8am Breakfast
TIME
WORKSHOP TITLE
ROOM
FLOOR
8am–12pm Advanced Pipeline Pilot—Part 1 of 2
Suffolk
Third
8am–12pm Integrating BIOVIA Workbook with Pipeline Pilot
Wellesely
Third
8am–12pm Transforming GxP Areas—Optimize Your Life Science
Arlington
Third
8am–12pm Increase Accessibility Using the Pipeline Pilot Mobile Collection
Exeter
Third
8am–12pm Manipulate and Filter Data with Pipeline Pilot PilotScript
Dartmouth
Third
8am–12pm Improving Metrology Management
Clarendon
Third
8am–12pm Extending BIOVIA Insight with Pipeline Pilot
Berkeley
Third
8am–12pm Introduction to Antibody Modeling and Design
Fairfield
Third
1pm–5pm ScienceCloud for Developers
Fairfield
Third
1pm–5pm Advanced Pipeline Pilot—Part 2 of 2
Suffolk
Third
1pm–5pm Building Pipeline Pilot Protocols—Part 1 of 2
Arlington
Third
1pm–5pm Recipe Management & Method Authoring
Exeter
Third
1pm–5pm Introduction to Method Automation
Dartmouth
Third
1pm–5pm Integrating BIOVIA Notebook with Pipeline Pilot
Clarendon
Third
1pm–5pm Essential Elements of a Quality Management System
Berkeley
Third
8am–12pm Building Pipeline Pilot Protocols—Part 2 of 2
Arlington
Third
8am–12pm Environmental Monitoring
Wellesely
Third
8am–12pm Leveraging Sharepoint for Regulatory, R&D, and Quality Management
Suffolk
Third
MAY 27
12pm–1pm Grab and go lunch
BIOVIA Training Sessions
Thursday, May 26th: 8am–12pm
Advanced Pipeline Pilot - Part 1 of 2
Room: Suffolk – Third Floor
This is a deeper dive into more advanced Pipeline Pilot topics.
There are many sophisticated features such like advanced
reporting and new imaging capabilities that protocol developers
can use to get even more functionality with Pipeline Pilot.
Who should attend? Experienced protocol developers
This workshop will show you how to:
•
•
•
•
Build advanced reporting
Use javascript to enhance interactivity
Incorporate imaging into the protocols and reports
Use advanced reporting components to increase functionality
Integrating BIOVIA Workbook with Pipeline Pilot
Room: Wellesely – Third Floor
With BIOVIA Workbook you can record, organize and secure
experimental information to find, share and reuse critical
knowledge globally. Using Pipeline Pilot can greatly increase
the functionality of BIOVIA Workbook.
Who should attend? Protocol developers with Pipeline Pilot
experience or that completed the Building Pipeline Pilot
Protocols class
30
• Integrate Pipeline Pilot into BIOVIA Workbook
• Allow template builders to extend the functionality of the
BIOVIA Workbook with protocols built using all the collections
available in Pipeline Pilot
• Easily connect BIOVIA Workbook menus and buttons to
Pipeline Pilot protocols.
Transforming GxP Areas –
Optimize your Life Science
Room: Arlington – Third Floor
Learn from our experts about opportunities to improve or
enhance your business processes, technology, and people by
leveraging best practices and solutions.
Who should attend? QMS managers, IT managers
In this workshop:
• Field experts will share customer experiences
• Provide guidance on identifying the most pressing problems
and defining a path to solutions
• Provide best practices and recommendations for success
Increase Accessibility Using the Pipeline Pilot
Mobile Collection
Room: Exeter – Third Floor
Pipeline Pilot Mobile Collection allows you to author protocols
and deploy them as tasks to mobile devices.
BIOVIA TRAINING
Protocols class
• Rapidly create and deploy mobile ready protocols with
Pipeline Pilot
• Produce great looking mobile optimized dashboards, charts
and graphs
• Leverage image capture, location services, chemistry
sketching, and audio/video/speech handling for special
purpose tasks
• Deploy specific tasks to targeted user audiences - anywhere,
anytime
Manipulate and Filter Data with
Pipeline Pilot PilotScript
Room: Dartmouth – Third Floor
PilotScript is a powerful way to manipulate and filter data
collected and analyzed by Pipeline Pilot.
Who should attend? Protocol developers wanting to improve
their knowledge of PilotScript
• Use local and global variables
• Implement anonymous property list functions
• Use conditional statements and loops, arrays and hash tables
Improving Metrology Management
Room: Clarendon – Third Floor
Effective equipment lifecycle management is essential, and the
Metrology Management Module is BIOVIA’s LIMS solution for
managing equipment lifecycles.
• Manage equipment lifecycles, including installation and
calibration
• Manage equipment maintenance and verification
• Accommodate specific business practices using the flexibility
of the COTS configuration
Extending BIOVIA Insight with Pipeline Pilot
Room: Berkeley - Third Floor
Pipeline Pilot offers a powerful way to extend Insight
functionality.
• Extend BIOVIA Insight functionality using Pipeline Pilot protocols
• Create new calculators, widgets, file adaptors, and custom
exporters
• Develop protocols that can be accessed from within Insight
for Excel
Introduction to Antibody Modeling and Design
Room: Fairfield – Third Floor
This workshop provides an introduction to the computational
tools available to predict the 3D structures and biophysical
properties of Antibodies. Starting with the light and heavy chain
antibody sequences, we will demonstrate how to generate
and optimize 3D models and undertake in silico antibody
engineering, including binding affinity and binding stability
mutation analysis, prediction of Post-Translational Modification
sites and analysis of potential sites associated with undesirable
protein aggregation.
Technical Skill: This course is intended for users with a basic
understanding of Discovery Studio and an interest in moving
from a sequence to structure based perspective of antibodies
and or antibody engineering
Target Audience: Computational Structural Biologists
Topics covered:
• Design and optimize antibody affinity and stability using
Discovery Studio
• Construct robust 3D structure models (MODELER)
• Refine structure models and predict stability (CHARMm)
• Predict antigen binding sites (ZDOCK)
• Identify undesirable Post-Translational Modification sites
and developability characteristics (AggMap & Developability
Index)
ScienceCloud for Developers
Room: Fairfield – Third Floor
ScienceCloud is a collaboration environment that allows a
primary user to share data with multiple collaborators without
the risk of opening up their on-premises firewall. Automation
and integration are key aspects of a successful ScienceCloud
implementation.
Who should attend? Developers and experienced Pipeline Pilot
developers
This workshop will show you how to use Pipeline Pilot to:
• Define automated data upload tasks
• Set up synchronization services between on-premises and
cloud data stores
• Create new analysis and visualization services and deploy to
end users
• Build protocols for validation and standardization on business
rules for chemistry and biology data
Building Pipeline Pilot Protocols - Part 1 of 2
Using Pipeline Pilot, scientist, researchers, engineers, and
analysts with little or no software development experience
can create scientific protocols that can be executed through a
variety of interfaces including other BIOVIA solutions and thirdparty applications.
Who should attend? Protocol developers who are new to
Pipeline Pilot, or need a refresher
• Build protocols to read data from file and write data to files
• Manipulate and filter data
• Create subprotocols
31
BIOVIA TRAINING
Advanced Pipeline Pilot - Part 2 of 2
This is a deeper dive into more advanced Pipeline Pilot topics.
There are many sophisticated features such like advanced
reporting and new imaging capabilities that protocol developers
can use to get even more functionality with Pipeline Pilot.
•
•
•
•
Build advanced reporting
Use javascript to enhance interactivity
Incorporate imaging into the protocols and reports
Use advanced reporting components to increase functionality
Recipe Management & Method Authoring
Room: Exeter – Third Floor
Compose is BIOVIA’s next generation recipe/method authoring
and management system. Learn how enable tech transfer
activities from typical laboratory development scale into the kilo
lab using Compose integrated with BIOVIA ELN.
• Create recipes from reusable building blocks of process
stages, operations and actions, including building more
complex parallel processes
• Manage libraries of process parameters and process steps
• Integrate Compose with BIOVIA ELN to enable tech transfer
activities
Essential Elements of a
Quality Management System
Room: Berkeley – Third Floor
Learn about what makes a world-class QMS environment
This workshop will show you:
• The essential characteristics needed for compliance and
efficiency
• QMS product previews and solutions
• Engage directly with our QMS experts
BIOVIA Training Sessions
Friday, May 27th: 8am–12pm
Building Pipeline Pilot Protocols - Part 2 of 2
Using Pipeline Pilot, scientist, researchers, engineers, and
analysts with little or no software development experience
can create scientific protocols that can be executed through a
variety of interfaces including other BIOVIA solutions and thirdparty applications.
Who should attend? Protocol developers who are new to
Pipeline Pilot, or need a refresher
• Build protocols to read data from file and write data to files
• Manipulate and filter data
• Create subprotocols
Introduction to Method Automation
Environmental Monitoring
• Use BIOVIA Laboratory Execution Module (LES) to place dayto-day analyst activities “under glass”
• Automate methods through the use of the BIOVIA Method
Builder utility
• Considerations for monitoring environmental conditions
• Best practices for environmental monitoring
Integrating BIOVIA Notebook with Pipeline Pilot
Learn how SharePoint can be used to deploy compliant
and validated solutions for Regulatory, R&D, and Quality
Management within the enterprise
Room: Dartmouth – Third Floor
Eliminate paper notebooks and enhance compliance and
laboratory throughput by automating checks and calculations.
Room: Clarendon – Third Floor
Using Pipeline Pilot can greatly increase the functionality of
BIOVIA Notebook by making protocols available within an
experiment.
Protocols class
• Run protocols from the Home page
• Run protocols that interact with BIOVIA Notebook from other
applications
32
Room: Wellesely – Third Floor
This workshop will demonstrate BIOVIA’s LIMS solution around
Environmental Monitoring.
Leveraging Sharepoint for Regulatory, R&D, and
Quality Management
• Understand QMS Sharepoint fundamanetals
• Implement best practices for using Sharepoint for QMS
• Interact with our BIOVIA QMS Sharepoint experts
BIOVIA INTEGRATED SOLUTIONS
BIOVIA Integrated Solutions—Talks
Can Your Lab Operations be Driven by R&D data?
Sujeegar Jeevanandam, Zifo Technologies
Tuesday, May 24, 8:00 am–8:25 am
Room: Arlington
As the cost of R&D to bring a new drug into the market continues
to rise, there is an ever increasing need for labs, focusing on
efficiency and throughput. While the general trend is to achieve
these goals through automation, implementing new systems and
solutions, it is necessary for labs to move away from operating
in a silo model, i.e. dependent on individuals, to a processoriented execution model. This requires labs to understand
the demand and capacity of their services and effectively plan
their operations. More often than not, scientists take it upon
themselves to plan their lab operations and struggle with limited
or incomplete information. This presentation will focus on how
we can mine, translate and visualize the R&D data residing in
LIMS and ELN systems to build a KPI scorecard to measure and
manage demand, capacity, quality and cost of lab operations.
Learn How Email Automation Saves MissionCritical Data for DocCompliance Users Across
the Enterprise
Partner: Adlib Software
Rupin Mago, Adlib Software
Tuesday, May 24, 1:00 pm–1:25 pm
Room: Arlington
Achieve better
scientific outcomes,
faster.
Are you taking on risk by manually processing urgent,
actionable enterprise email?
Email automation can enable DocCompliance users across the
Enterprise.
This session is valuable if your organization:
•
•
•
•
•
Receives mission critical information via email
Manually creates PDFs of emails
Duplicates efforts by not tracking email client status
Struggles with rendering problems with email attachments
Ever experiences accidental deletions of email
Meet with Adlib’s Chief Evangelist, Rupin Mago, and take
this opportunity to consult about your current business data
challenges.
Get the Most Out of Your Quality Management
System with Custom Reporting
Partner: Focused Consulting
Joe Lucadamo, Principal Consultant
Wednesday, May 25, 12:15 pm–12:40 pm
Room: Arlington
Discover the value of producing actionable custom reports from
your business-critical validated systems. Topics include reporting
terminology, requirements gathering, report development
strategies, validation methodologies, and multi-system
reporting. Learn the advantages of extending out-of-the-box
searching and reporting capabilities of your existing systems.
Time to value is critical in life science. Yet data
deficiencies, collaboration constraints and
inflexible technologies can get in the way.
We’ll help you overcome these obstacles.
At LabAnswer, our sole focus is scientific
informatics. In hundreds of projects each year,
we help clients plan, build, deploy and support
enterprise scientific data systems.
Let us help you make your new scientific data
environment a reality.
Visit us at
Booth #2
Realize the promise
of your science.
labanswer.com
SIMULIA KEYNOTE SPEAKERS
Silvestre T. Pinho
Jay Maas
Imperial College London,
Trek Bicycle Corporation,
Analysis Engineer
Silvestre Taveira Pinho is a Professor
in Mechanics of Composites and an
Engineering and Physical Science
Research Council (EPSRC) Research
Fellow at the Department of Aeronautics,
Imperial College London. He was awarded
in 2010 by the European Society for
Composite Materials (ESCM) the prize for
best young researcher in Composites active in Europe. Silvestre
has been a member of the European Society for Composite
Materials (ESCM) since June 2012. In March 2014, Silvestre
was awarded an EPSRC fellowship for designing novel forms of
more damage tolerant composite structures.
Jay Maas has over 17 years of structural
analysis experience having joined
Trek in 2010. He holds a bachelor and
master's degrees in engineering from
the University of Wisconsin-Milwaukee.
He is currently responsible for structural
analysis for all of Treks product lines
including road, speed, and mountain
bikes as well as wheels and components. Before coming to Trek
he worked in the aerospace industry for The Boeing Company,
for Orbital Technologies, where he was the sole structural
analyst for the Biomass Production System, which launched on
Space Shuttle Atlantis STS-110, April 2002, and spent over 60
days aboard the International Space Station and has worked as
a consultant on the Joint Striker Fighter, small business jets, and
a variety of wide body aircraft interiors refurbishments.
Professor, Faculty of Engineering, Department of Aeronautics
Structural Design: New Methods and a New
Paradigm for the Future
In this talk, we will first look at a different way in which
we have been using the software Abaqus: as a convenient
platform for the implementation of new numerical methods
for structural design. To illustrate this, we will present
three developments whereby we have used creatively the
programmable user interfaces in Abaqus to represent and then
solve physical problems in ways that Abaqus was not designed
to do. In particular, we will present (i) a Multi-Physics Molecular
Dynamics Finite Element Method for the design of graphenebased devices, (ii) a floating node method for the accurate
representation of kinking cracks, i.e. cracks that suddenly
change orientation, e.g. when reaching an interface between
two materials; and (iii) a mesh superposition technique for
efficient concurrent multiscale structural analysis.
Second, we will explore ongoing activities aimed at changing
how we look at materials in structural design: from a given to
an actual element that can be designed for a specific purpose
together with the structure, point by point. As an example, we
will show the design and experimental validation of carbon-fiber
composite microstructures leading to an engineered fracture
response with improved damaged tolerance.
34
When not in the office you can find him spending time with his
family or racing his road and cyclocross bikes.
From the Barn to Best-In-Class: Evolution of
Simulation at Trek Bicycles
The presentation will cover how simulation has become
an integral part of the design process and has been a key
component in the success of Trek's products. This evolution
of simulation has led to ever increasing levels of analysis
complexity. One such example will be discussed: Loads
generation for a mountain bike during extreme loading events.
This technical portion of the presentation will cover the use of
True-Load and Abaqus to estimate loads on a full suspension
bicycle while completing jump landings. A brief discussion will
follow regarding where simulation within Trek needs to go to
remain best-in-class.
SIMULIA PRESENTATIONS
Technology for Science in the Age of Experience
Delivered by Bruce Engelmann, SIMULIA R&D VP & Chief Technology Officer,
and Reza Sadeghi, BIOVIA Chief Strategy Officer
Reza Sadeghi and Bruce Engelmann will demonstrate the synergy and power of leveraging BIOVIA and SIMULIA solution experiences
together to change the game of Science in the Age of Experience and accelerate science-based innovations for Products, Nature and
Life. Learn how BIOVIA, SIMULIA and our 3DEXPERIENCE platform make possible unparalleled atoms-to-product; multiscale and
multiphysics; modeling and simulation to unlock the value of key megatrends such as precision medicine, additive manufacturing,
advanced materials and more..
Accelerating Innovation with the 3DEXPERIENCE Platform, Salon F & G
This lecture continues the successful General Lecture 2 presented last year in Berlin at the SIMULIA Community Conference.
The theme is to highlight the evolution of simulation “from solve to innovate”. The session will demonstrate how the
3DEXPERIENCE platform provides solutions to accelerate innovation by providing a platform for analysts to execute simulation
tasks in a new, more powerful and more efficient way. Highlighted functionality will be the ability to capture and execute
end-to-end simulation processes. Key aspects include the capability to relate the results back to design requirements and
the ability to respond rapidly to design changes. The session will also show how the 3DEXPERIENCE platform enables
users to leverage more from simulation when their work is captured, shared, and re-used by themselves and others.
New Applications and New Technology in the Power of the Portfolio, Salon F & G
This presentation focuses on technology, solving, model-building, and applications of our traditional products including
Abaqus, fe-safe, Tosca, and Isight. When these products are used together, simulation values expand rapidly beyond
simply building and solving FEA models to include lifecycle prediction, shape and parameter optimization, and design
space exploration. The content of the lecture will be delivered by means of a set of new applications that illustrate the
leverage that the SIMULIA technology can bring to all users. The lecture will show both why and how it can be done.
SIMULIA USABILITY TESTING, EARLY-BIRD HANDS-ON, SUPPORT DESK
SIMULIA Usability Testing: Northeastern
Help us develop and participate in Usability Studies at Science
in the Age of Experience with trained usability researchers and
complete typical tasks in various parts of our software. Help us
understand how easy or difficult it is to learn new or enhanced
aspects of our software. Give us your feedback on everything
you see and do!
What is it?
Usability studies put a participant—you—in front of
in-development software to complete a number of tasks, thus
allowing our developers to get the feedback they need as
improvements and enhancements are added to our software.
Why do this?
Participating in a usability study lets you, the customer, give
feedback before the release of software. It makes you a partner
in our development effort.
Interested in helping?
Sessions start on Tuesday, May 24th, and run throughout
the conference. Contact the Usability Research team at the
registration desk on the fourth floor to schedule a session
during the conference.
Early-bird Hands-on: Salon H and Salon K
Tuesday and Wednesday
Begins 60 minutes prior to the conference
Occurring for one hour before the conference opens on Tuesday
and Wednesday, the Early-Bird Hands-on sessions provide
an opportunity for interested attendees to come and explore
the processes, functionality, user interfaces, and scope of the
3DEXPERIENCE platform, the platform that provides the basis
for a radically expanded visibility, value, and role of the analyst
within his or her company. Based on Abaqus technology, the
simulation processes within the 3DEXPERIENCE platform
provide you with an unparalleled opportunity to amplify the
importance of your simulation work in your enterprise. But don’t
take our word for it, come and see for yourself! Take advantage
of this unique opportunity to test drive the software while
being guided by experienced hands from our field support team.
Support Desk: Provincetown
Open during breaks, lunch and technical paper sessions.
Customer Support and Application Engineers will be available
for one-on-one help and advice with your current simulation
models at the Support Desk. Get more specific information
about your current simulation tasks or ask about best-practices
and get the advice of our experienced support team for how to
start a future activity. You are welcome to bring in your models
and files on a memory stick, if needed, for help on modelspecific issues. No appointment necessary!
35
SIMULIA INTEGRATED SOLUTIONS—TUESDAY, MAY 24
BETA CAE Systems SA
Quest Integrity Group
Simulation Data Management in Pre
and Post Processing
Fracture Mechanics and 3D Crack
Mesh Analysis Software
Dimitrios Katramados
BETA CAE Systems S.A., is an engineering software company
committed to the development of state of the art CAE software
systems that meet the requirements of all simulation disciplines.
The company’s flagship product, the ANSA / μETA pre- & postprocessing suite, holds a worldwide leading position, across a
range of industries.
Cradle North America Inc
FSI Simulation on a Reed Valve using SC/Tetra
and Abaqus
Yuya Ando
Software Cradle is a leading provider of Computational Fluid
Dynamics (CFD) software including SC/Tetra (general purpose
unstructured mesh), scSTREAM (general purpose Cartesian mesh),
and HeatDesigner (Cartesian mesh for electronics). Since inception
in 1984, Cradle has established itself as a major innovator for
advancing the role of simulation in engineering design.
Cray
Greg Thorwald
Quest Integrity is a global leader in the development and
delivery of asset integrity and reliability management
services and solutions. The company’s solutions consist of
technology-enabled, advanced inspection and engineering
assessment services and products that help organizations
improve operational planning, increase profitability, and reduce
operational and safety risks.
SGI
Scott Shaw
SGI offers a flexible framework of HPC servers, software, storage,
and services ideally suited for CAE workloads. In addition, the
company has a long history of proven domain knowledge
and key CAE application expertise. All of these capabilities are
supported by SGI strong ISV relationships.
Stratasys
Peter Secor
Stratasys is shaping our world. Our trusted 3D printing
solutions widen the path of innovation, empowering leading
manufacturers and groundbreaking designers, makers,
thinkers and doers. By moving quickly from idea to solid object,
our customers untangle complexity and uncover solutions
with the speed and urgency our world demands.
Gregory A. Clifford
Cray builds innovative systems and solutions enabling
researchers to meet existing and future simulation and analytics
challenges. Leveraging years of experience developing the
world’s most advanced supercomputers, Cray brings you a
comprehensive portfolio of high performance computing,
storage and data analytics solutions delivering unrivaled
performance, efficiency and scalability.
TotalCAE
CST
Private and Public Cloud High Performance Computing
for CAE Simulation: Benefits and Challenges
Harmonizing High-Tech Product Performance
and Safety by Electromagnetic and Structural
Co-Design
David Johns
Founded in 1992, CST offers the market's widest range of
3D electromagnetic field simulation tools. CST develops highperformance software for the simulation of electromagnetic
fields in all frequency bands. Today, the company enjoys a
leading position in the 3D EM simulation market and employs
260 personnel around the world.
Intel
Michael Moretti
Intel (NASDAQ: INTC) expands the boundaries of technology
to make the most amazing experiences possible. Information
about Intel and the work of its more than 100,000 employees
can be found at www.intel.com
36
Rodney Mach
TotalCAE sells and manages turn-key High Performance
Computing (HPC) cluster appliances pre-integrated with
your engineering applications including the entire SIMULIA
portfolio. TotalCAE appliances are fully managed around-theclock in your datacenter by TotalCAE experts. Engineers get
fast turnaround with minimal effort through the included and
easy to use TotalCAE portal interface.
Wolf Star Technologies, LLC
Load Measurement and Linear Dynamics with
Tim Hunter
Wolf Star Technologies provides first to market solutions for
Abaqus/CAE: True-Load™ turns any component into an N-DOF
load transducer to generate strain correlated loading; TrueLDE™ provides intuitive post-processing for linear dynamic FEA
solutions. All Wolf Star Products automate the creation of complex
loading events for design, optimization and durability analysis.
SIMULIA INTEGRATED SOLUTIONS—WEDNESDAY, MAY 25
Simpleware (Tuesday, May 24)
Granta Design
Simpleware and Abaqus: Doing More With 3D
Image Data and Simulation
Materials Gateway 4.0 for Abaqus/CAE—
Preparation, management and use of materials
data for simulation
Kerim Genc
Simpleware provides comprehensive software solutions and
bespoke services for converting 3D image data (such as MRI
and CT) into robust models for CAD, CAE and 3D Printing
applications. The software is used within industries such as the
Life Sciences, Materials Science, Industrial NDT and Reverse
Engineering, and Digital Rock Physics.
Capvidia
Two-Way Strongly Coupled FSI Simulation using
Abaqus & FlowVision
Sinan Soğancı
Capvidia is a software solution provider for Computational
Fluid Dynamics and 3D CAD applications. We offer products for
advanced CFD analysis, CAD Translation, Validation and Quality
Assessment.
Dell
Dell and the Democratization of HPC
Ed Turkel, Dell
Dell Inc. listens to customers and delivers innovative technology
and services that give them the power to do more. Dell supports
industry, research, government and education with marketready HPC solutions that enable more innovation and discovery.
Our scalable, flexible solutions readily handle compute and
data-intensive research workloads, helping drive faster
breakthroughs. For more information visit: www.Dell.com/hpc
DfR Solutions
Rapid and Definitive Simulation of Next
Generation Electronics
Craig Hillman
DfR Solutions is the leading provider of quality, reliability, and
safety services and software for the electronics industry. We
support clients across every market as well as throughout the
electronic component and material supply chain.
Our innovative, Physics of Failure-based reliability software,
Sherlock Automated Design Analysis™ and industry expertise
empower customers to accelerate and improve product design
and development, saving time, resources, and improving
customer satisfaction.
Endurica
William Mars
Endurica brings fatigue life prediction capabilities to the rubber
industry that directly address fatigue in elastomers. We
offer computer simulation software for engineers to address
durability issues earlier than ever before. In addition to fatigue
life simulation software, we also provide training, materials
characterization, and consulting services and modeling.
Peter Cherns
Granta helps you get the most from investments in simulation.
We work closely with SIMULIA to enable direct access to
materials data from within the Abaqus/CAE software. Save time
in your design and development process, avoid error, increase
confidence in simulation results, and deploy them for use in
product development.
Psylotech
Simulating Plastic & Rubber: time, temperature &
large deformation
Alex Arzoumanidis, Psylotech
Plastic and Rubber are notoriously difficult to simulate, because
their properties change with time and temperature. Psylotech’s
solution is VISCA, a nonlinear viscoelastic Abaqus add-on
module to simulate any loading and/or temperature history.
Psylotech also provides contract testing services, producing the
data central to this entropy based reduced time model.
Thornton Tomasetti Weidlinger Applied
Science
WAimat Suite–Advanced Material
Failure Modeling
Badri Hiriyur
Thornton Tomasetti is a global engineering firm offering a
range of services including structural engineering and design,
investigation and advanced analysis to clients in the public
and private sectors. At the Weidlinger Applied Science practice,
which has been an integral part of Thornton Tomasetti since
its merger with Weidlinger Associates, Inc. in 2015, engineers
develop and maintain advanced physics-based computational
tools with specific focus on large-scale industrial problems.
Thornton Tomasetti employs about 1200 people across the
globe and is headquartered in New York City.
Transvalor S.A.
Z-set to Abaqus: Efficient Tools for Advanced
Material Modeling, Damage Analysis and 3D
Crack Propagation Simulation
Nikolay Osipov
Transvalor is a software services company specializing in material
modeling. The company offers an extensive suite of simulation
software for various classes of materials, with industrial
applications including aerospace, energy and automotive.
37
SIMULIA INTEGRATED SOLUTIONS HANDS-ON DEMO
Explore the SIMULIA Eco-System: Join our Partner Integrated
Solutions "Hands-on Demo" at Science in the Age of Experience.
A selection of SIMULIA Alliance Partners will provide a 20
minute hands-on demonstration session at Science in the
Age of Experience. The demonstrations will show how their
software integrates with SIMULIA software to create a
complete, seamless solution. To book your place at any of the
demonstrations please come to the registration desk.
DfR Solutions
Psylotech
Tuesday May 24, 3:35pm
Psylotech will demonstrate Visca™. Polymer properties change
with time, temperature and loading history. Polymers also
heat during cyclic loading. Psylotech's VISCA is an easy-toimplement, nonlinear viscoelastic Abaqus add-on module. The
demonstration will highlight VISCA's strain rate and temperature
dependence capabilities, and also its self-generated heat during
cyclic loading on plastic and rubber.
Tuesday May 24, 10:05am
Transvalor
The software demonstration is intended to showcase the speed
and ease of getting a reliability prediction of a circuit card using
Abaqus/CAE and Sherlock. We will take the output files from an
ECAD software and create a full 3D model that is ready to run
Abaqus in less than 5 minutes. We will then run a mechanical
vibration analysis and create a prediction for the time to failure
of components on the board.
Endurica
Learn how to use fe-safe/rubber’s™ elastomer material models
and Critical Plane Analysis algorithm to simulate and diagnose
the fatigue failure process in a CV boot.
Critical Plane Analysis of Elastomeric CV Boot Durability
The analysis of elastomer fatigue performance under real-world
loading conditions has never been easier or more accurate.
Come learn how to use fe-safe/rubber’s elastomer material
models and Critical Plane Analysis algorithm to simulate and
diagnose the fatigue failure process in a CV boot.
Granta Design
The demonstration will show how analysts can assign material
models from their corporate material database to their CAE models
in a seamless, traceable way via GRANTA MI:Materials Gateway.
GRANTA MI is the leading materials information management
system. Typically hosted on the corporate network, it can be
accessed via an embedded application within Abaqus/CAE.
This MI:Materials Gateway application enables users to find
material CAE models from within their approved corporate
materials database. Material models can be found through text
and/or property searches. These can then be imported into their
CAE models.
The imported CAE material models include metadata which
enables MI:Materials Gateway to inform users of updates or
additional models.
38
The demonstration will present the crack propagation
simulation capabilities of Z-cracks software. Z-cracks fracture
modeling technology relies on adaptive re-meshing approaches
and accurate stress intensity factor evaluation to accurately
predict the cracks path and propagation kinetics
BETA CAE Systems SA
Wednesday May 25, 10:05am
The demonstration of BETA CAE Systems S.A. will highlight the
last part of the presentation which is related to the reporting
capabilities of META post-processor for creating and exporting
.pptx and .xlsx files, as well as saving model data, results of
interest and the reports within a single file. This file, called a
META Project is binary and can be encrypted and compressed.
It can be opened by META and META-Viewer, a licence-free and
reduced functionality version of META that can be installed as
a standalone software or a plugin in MS-PowerPoint and web
browsers.
CST
Wednesday: May 25, 1:05pm
This demonstration will provide attendees an insight into CST’s
electromagnetic field simulator CST STUDIO SUITETM and
show an example of the interaction between electromagnetic
fields and the human body. We will discuss the challenges
of harmonizing product performance and safety, as well as
the importance of multi-disciplinary co-design to optimize
electromagnetic and structural design goals.
Capvidia
The demonstration will show the 2-Way Strongly Coupled FSI
between Abaqus & FlowVision including: Automatic Re-Meshing
(Not Limited to Mesh Deformation) Coupling; Natural Data
Exchange between CFD and FE Meshes (No Intermediate Mesh
like MPccI) Multi-Physics Manager; (Re)Starting Co-Simulation
& Real-Time Results Monitoring; Completely Independent
(Implicit/Explicit) Integration Steps; Data Exchange at UserDefined Number of Time Steps.
SIMULIA INTEGRATED SOLUTIONS HANDS-ON DEMO
Quest Integrity
The FEACrack demonstration will examine surface crack meshes
in two examples: a cylinder with an axial seam weld, and a userdefined geometry using tied contact. The mesh options will be
used to quickly generate crack meshes for Abaqus analysis, and
the post processing module will obtain crack front result values.
This workshop will recover the loading in an SAE Baja car suspension
linkage using True-Load™ software. The car was designed and
built by students at UW-Milwaukee. The participants will start
with an FEA model and create loading time histories which
create measured strain correlation within 5% on all channels.
Software Cradle
Wednesday May 25, 10:05am
SC/Tetra is general purpose Computational Fluid Dynamics
(CFD) software.
It is a finite volume solver based on unstructured mesh. SC/
Tetra can couple with Abaqus using the Co-Simulation Engine
(CSE) to solve Fluid Structure Interaction (FSI) problems. In this
demo we will briefly go over the necessary steps to complete
the setup in CFD and show the users how to run FSI simulations
using SC/Tetra and Abaqus
NOTES
39
SIMULIA ACADEMIC POSTER SHOWCASE
We are proud to present our third annual Academic Poster Showcase at Science in the Age of
Experience! You are welcome to stop by our poster display, located in the Ballroom Foyer, at
any time, but please make a note to join us during the afternoon break, Tuesday, May 24th for
a special author “Meet and Greet”. While you’re there, please VOTE for your favorite poster. The
submitting author will receive an iPad Air!
Aerospace & Defense
1. Texas A&M, USA
Christopher Bertagne
2. Texas A&M, USA Brent Bielefeldt
3. Texas A&M University, USA William Scholten
4. Texas A&M University, USA Mahsa Tajdari
5. University of California Irvine, USA
Nicolas Ruvalcaba
6. West Virginia University, USA
Marta Maria Moure Cuadrado
Architecture, Engineering & Construction
7. Heriot-Watt University, UK
Danmei Sun
8. University of California Irvine, USA
Ladan Salari-Sharif
9. University of Florida, USA
Ted Krauthammer
10. University of Virginia, USA
Wenqiong Tu
18. University College London, UK
Giorgia Maria Bosi
19. University of Kentucky, USA
Iman Shojaei
20. University of Orleans, France
Ridha Hambli
21. University of Oxford, UK
Yang Xia
22. University of Oxford, UK
Jakub Kwiecinski
23. Wichita State University, USA
Rajeev Nair
Transportation & Mobility
24. The Ohio State University, USA
Zhong Chen
25. University of Technology of Compiègne,
France
Qi Yin
26. Wichita State University, USA
Sachin Patil
27. Wrexham Glyndwr University, Wales
Alison McMillan
Consumer Goods
11. Queen's University Belfast
James Nixon
Energy, Process & Utilities
12. California State University, Sacramento
Benjamin Fell
13. The University of Texas at Austin, USA
Mahdi Haddad
14. The University of Texas at Austin, USA
Mahdi Haddad
High Tech
15. Sogang University, Republic of Korea
Felix Rickhey
Life Sciences
16. Saint Louis University, USA
Sheila Buswell
17. University College London, UK
Benedetta Biffi
40
Dr. Wang Zhongkui's winning 2015 poster.
SIMULIA MEET THE EXPERTS,
TECHNOLOGY UPDATES, SPECIAL INTEREST GROUPS
Technology Updates
Science in the Age of Experience will present 10 Technology
Update presentations in parallel. The material will be repeated
four times during the conference allowing attendees to attend
four of the 10 topics live at the event. Here are the locations for
Monday's Technology Updates at 10:30 and 11:15 a.m.
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•
•
•
•
Simulation Driven Design—Wellesley
Additive Manufacturing—Tufts
Fatigue & Durability—Simmons
Abaqus Solvers (/Standard & /Explicit)—Boston University
CFD on the 3DEXPERIENCE Platform—Regis
Multibody Simulations (Simpack and Abaqus)—MIT
Plastics on the 3DEXPERIENCE platform—Nantucket
Structures on the 3DEXPERIENCE Platform—Tremont
Process Automation & Design Exploration—Boylston
Industry Applications of the 3DEXPERIENCE Platform—Harvard
For Tuesday and Wednesday room assignments,
please see the agenda.
SIMULIA Meet the Experts
At the Meet the Experts sessions, attendees can gather and
meet directly with technology leaders within SIMULIA to ask
questions, make suggestions, ask for help, exchange business
cards, and engage with the teams that are directly responsible
for putting the power in the SIMULIA portfolio. Attendees are
free to go from one topic to another within these sessions.
This year’s Meet the Experts topics (subject to change) are:
•
•
•
•
Simulation Driven Design (Tosca technology)—Regis
Additive Manufacturing—Regis
Fatigue & Durability ( fe-safe)—Harvard
Abaqus/CAE & Modeling techniques—Salon K
• Abaqus/Explicit: Performance, Contact,
Materials Modeling—Salon I
• Abaqus/Standard: Linear Dynamics, Vibration Response,
NVH, Fracture Mechanics, Contact Modeling, Materials
Modeling, Performance—Tufts
• Multibody Simulations (Simpack and Abaqus)—Salon J
• Process Automation & Design Exploration: 3DEXPERIENCE
SPDM with Isight Technology—Salon H
• CFD on 3DEXPERIENCE Platform—Simmons
• Plastics on 3DEXPERIENCE Platform—Simmons
• Structures on 3DEXPERIENCE Platform—Wellesley
• Benefits of 3DEXPERIENCE Platform: Meshing & Modeling,
Visualization, Co-Simulation & Openness, Democratization of
Simulation—Wellesley
Special Interest Groups (Thursday Only)
Life Sciences Special Interest Group
Room: Tremont
Attendees are invited to attend a Life Sciences Special Interest
Group (SIG) meeting, taking place on Thursday May 26, 2016 in
Boston alongside Science in the Age of Experience.
Workshop Agenda
8:00 Breakfast / Registration
8:30 Welcome
SIMULIA for Life Sciences—Power of Portfolio
SIMULIA for Life Sciences—
Power of the 3DEXPERIENCE Platform
SIMULIA for Life Sciences—Power of Human Simulation
12:00 Lunch
1:00 Life Sciences SIG Adjourns
Room: Boylston
Additive Manufacturing, also known as 3D printing, is a
manufacturing technology that has been evolving since the
1980s. The technology has offered designers the freedom to
create shapes to meet functional requirements without the
limitations of conventional manufacturing techniques. In this
session, we will work through an end-to-end workflow starting
with generative design, optimization considerations for additive
manufacturing, material processing as well as the layer-wise
simulation of the process to predict stresses and distortions.
Multiscale Simulations
Most materials have complex microstructures that determine
their behavior at the continuum level. To effectively predict
that behavior, we need to understand the effect of the
microstructures at different length scales. In this session,
we will work through a multiscale workflow starting with
the construction and characterization of thermoplastically
cross-linked elastomeric co-polymers to using the material
properties to predict their behavior at the part level.
Workshop Agenda
8:30 Introductions and Overview of the Workshop
8:45 Design for Additive Manufacturing
9:15 Layer-by-layer simulation of the Additive
Manufacturing Processes
10:15 Material Considerations for Additive Manufacturing
10:45 Break
11:00 Multiscale Material Modeling
12:00 Workshop ends
41
SIMULIA TRAINING: THURSDAY, MAY 26
Enhance Your Knowledge
with SIMULIA Training
On Thursday May 26, we will present the SIMULIA Training Day.
This day was historically known as the Advanced Seminar day.
We have revamped and expanded the day with more technical
courses and seminars.
7:00 Breakfast
8:30 Training Day Begins
10:30 Break
12:30 Lunch
3:30 Break
5:30 Conclusion
Technology Seminars
Strategies and Tools for
Material Model Calibration
Room: Wellesley
The key to success with FEA simulation is correlation to the
real-world behavior of physical behavior and products. Lack
of physical correlation is often directly related to the lack of
accuracy in the material model. This class will give you extra
tools to assess the material models that you are currently using
and showcase new material models in Abaqus that might
better capture the physics important to your component and its
loading environment. We will cover advanced material modeling
for metals, elastomers, polymers and engineering plastics.
Attendees will come away with a thorough understanding of
best practices that they can immediately apply in their projects
to improve accuracy and performance. This seminar—back by
popular demand—is an updated version of the seminar offered
at the 2015 SIMULIA Community Conference.
Best practices for Contact Modeling for Accuracy
and Accelerated Convergence
Room: Simmons
This course covers current perspectives from SIMULIA
R&D on best practices for contact modeling, recent
contact enhancements, diagnosing issues, understanding
approximations, making informed modeling decisions, and
getting reliable results. This seminar will not focus on teaching
user interface details. This seminar is geared toward helping
those with Abaqus contact modeling experience obtain a next
level of understanding and success, especially for implicit
contact analyses. Additional likely topics include development
trends and approaches to common yet challenging modeling
scenarios brought forward by attendees. The seminar will focus
on the established Abaqus product line as well as the new
technology for linear and CAD-enhanced contact supported by
the 3DEXPERIENCE portfolio, plus other enhancements and
new workflows resulting from those enhancements.
42
Multibody Simulation using Simpack
for Abaqus Users
Room: Regis
Simpack is a general purpose Multibody Simulation (MBS)
software product used for the dynamic analysis of any
mechanical or mechatronic system. It enables engineers to
generate and solve virtual 3D models in order to predict and
visualize motion, coupling forces and stresses. This course
will focus on providing an introduction to the technology in
Simpack and educating existing Abaqus and Simpack users as
to possible applications in their company. Attendees will also
discover how Simpack interoperates with Abaqus. This course
is focused on the technology in, and usage of, Simpack for
the traditional SIMULIA user. Attendees will come away from
the course with a firm understanding of the technology and
applicability of Simpack and the value of Multibody Simulation
as an application area together with FEA.
Hands-on Training Courses
These two Hands-on Training Courses offer attendees a unique
opportunity to gain hands-on training while attending Science
in the Age of Experience. Attendees will do workshop problems
on their own Windows laptops overseen by experienced
instructors from SIMULIA. (Attendees received instructions
before the event to pre-load the Abaqus Student Edition on
their laptops before coming to the conference. This edition will
be theirs to keep after the conference.)
Hands-on with Submodeling: Techniques for
Increasing Simulation Accuracy
Room: Salon K
The ever increasing size and complexity of modern designs
pose challenges to today’s analyst as conventional modeling
approaches are ill-suited to simulate and validate them
effectively. Submodeling offers an attractive alternative
because it allows the analyst to run a series of simulations,
zooming in on regions of interest in a global model, to extract
more accurate results. This course aims to provide users with
an understanding of the submodeling method and illustrate its
usage through examples. The course covers the following topics:
When submodeling can be useful, how to properly construct a
coarse, global analysis that can "drive" the submodel analysis,
how to design the mesh for the submodel analysis, when to
use solid-to-solid, shell-to-shell and shell-to-solid submodeling,
and submodeling in nonstructural problems. Although the
course content is a subset of the standard Substructures and
Submodeling with Abaqus course, attendees will receive the
full set of lecture notes from the standard course. In addition,
attendees will also receive a copy of Abaqus Student Edition.
They will need to download and install Abaqus Student Edition
on their personal laptops prior to the class in order to participate
in the workshop exercises.
SIMULIA TRAINING: THURSDAY, MAY 26
Hands-on with Composites Simulation: Effective
Modeling of Composite Materials with Abaqus
Room: Salon H
Composite materials are used in many industries, across a
range of design applications, because of their high stiffness-toweight ratios and the ability to tailor their response as needed.
This course aims to introduce users to the capabilities in Abaqus
enabling effective modeling of composite materials. The course
covers the following topics: Using detailed modeling of the
microscopic behavior to determine the behavior of composite
materials, defining anisotropic elasticity with Hookean models
for combining the fiber-matrix response, defining composite
layups using Abaqus/CAE, achieving the correct material
orientation of the layers of composite shells and solid elements,
as well as recent enhancements in the technical capability.
Although the course content is a subset of the standard Analysis
of Composite Materials with Abaqus course, attendees will
receive the full set of lecture notes from the standard course. In
addition, attendees will also receive a copy of Abaqus Student
Edition. They will need to download and install Abaqus Student
Edition on their personal laptops prior to the class in order to
participate in the workshop exercises.
Application Seminars
Introduction to 3DEXPERIENCE Simulation
for Abaqus Users
Room: Salon I
3DEXPERIENCE Simulation portfolio for model assembly, batch
meshing, visualization, and model re-use. Focus will be on
conceptual level understanding with some detailed workflows
to highlight the concepts. The attendee will come away from
the course with a better understanding of the scope, content,
usability, and functional content of 3DEXPERIENCE Simulation.
Encounter the Power of the SIMULIA Portfolio:
fe-safe, Tosca, Isight, and Abaqus in Action
Room: Salon J
Through Extended Packaging, all Abaqus users now have access
to more technology than ever. This course will illustrate the
practical benefits and usage of fe-safe, Tosca, and Isight along
with Abaqus to extend the attendee’s simulation skillset to
include durability analysis and optimization techniques. The
course will focus on industrial applications combining Abaqus,
Tosca, fe-safe, and Isight to increase the value added through
simulation and will provide compact introductions to: structural
optimization with Tosca using Abaqus/CAE, fatigue analysis with
fe-safe, and process automation and parametric optimization
with Isight. The course will expand attendee’s simulation
knowledge by teaching how to simulate fatigue behavior and
likely failure modes. Participants will also learn how to apply
topology, shape, and parametric optimization to boost quality,
durability and performance while reducing development time.
This course will provide the existing Abaqus user with an
in-depth introduction to the concepts, usage, functionality,
and capabilities of the 3DEXPERIENCE Simulation portfolio of
apps and Roles. The course will show new capabilities in the
NOTES
43
SCIENCE IN THE AGE OF EXPERIENCE ABSTRACTS
This program contains the abstracts of the papers submitted for presentation at Science in the Age of Experience held
in Boston, MA, May 23-25, 2016. We are grateful to the authors for their efforts in preparing the papers that make up
these proceedings.
Using This Guide
Here are the tracks presented at Science in the Age of
Experience (see agenda, pages 8-27). In the following section,
the abstracts are listed in alphabetical order by company name,
then author last name.
AEROSPACE & DEFENSE
Eaton Corporation p.70 (Tue. 8:30, Regis)
Combustion Research and Flow Technology, Inc. p.65 (Tue.
9:15, Regis)
CONSUMER PACKAGED GOODS & CONSUMER
GOODS & RETAIL
Veryst Engineering p.95 (Tue. 8:30, Salon K)
ASICS corporation p.48 (Tue. 9:15, Salon K)
Plastic Technologies, Inc. p.82 (Tue. 10:30, Salon K)
Illinois Institute of Technology p.76 (Tue. 11:15, Salon K)
The Procter & Gamble Company p.89 (Tue. 2:45, Salon K)
DASSAULT SYSTEMES
Naval Undersea Warfare Center p.80 (Tue. 10:30, Regis)
EXALEAD p.71 (Tue. 8:30, Nantucket)
Roketsan Missile Ind. p.86 (Tue. 11:15, Regis)
3DEXPERIENCE p.47 (Tue. 9:15, Nantucket)
Aventec Inc. p.49 (Tue. 2:45, Regis)
SOLIDWORKS p.88 (Tue. 10:30, Nantucket)
TEN TECH LLC p.89 (Wed. 9:15, Regis)
CATIA p.64 (Tue. 11:15, Nantucket)
COLLABORATIVE SCIENCES IN
EXALEAD p.71 (Tue. 1:15, Nantucket)
Pfizer p.81 (Tue. 2:00, Tue. 2:45, Wed. 3:45, Clarendon)
SOLIDWORKS p.87 (Tue. 2:45, Nantucket)
Pfizer p.81 (Tue. 2:45, Clarendon)
ENOVIA p.71 (Tue. 4:00, Nantucket)
GSK p.74 (Tue. 4:00, Clarendon)
EXALEAD p.71 (Wed. 8:30, Nantucket)
LabAnswer p.77 (Tue. 4:45, Clarendon)
SOLIDWORKS p.87 (Wed. 9:15, Nantucket)
Eisai p.70 (Wed. 8:30, Clarendon)
CATIA p.63 (Wed. 10:30, Nantucket)
Takeda p.89 (Wed. 9:15, Clarendon)
CATIA p.64 (Wed. 1:00, Nantucket)
BIOVIA, van Daelen, T. p.61 (Wed. 10:30, Dartmouth &
Clarendon)
ENOVIA p.71 (Wed. 2:00, Nantucket)
Gilead p.73 (Wed. 1:00, Clarendon)
discngine p.69 (Wed. 1 :45, Clarendon)
BIOVIA, Bost, F. p.53 (Wed. 1:45, Clarendon)
Pfizer p.82 (Wed. 3:45, Clarendon)
COMPOSITES
ATA Engineering p.49 (Tue. 8:30, Salon I)
DuPont Performance Materials p.69 (Tue. 9:15, Salon I)
Convergent Manufacturing Technologies, Inc p.66 (Tue. 10:30,
Salon I)
University of Massachusetts Lowell p.93 (Tue. 11:15, Salon I)
DuPont de Nemours p.69 (Tue. 2:45, Salon J)
BIOVIA, Doyle, M. p.54 (Wed. 9:15, Salon I)
University of Massachusetts Lowell p.93 (Wed. 2:30, Salon I)
National University of Singapore p.79 (Wed. 3:45, Salon I)
44
CATIA p.64 (Tue. 2:00, Nantucket)
ENERGY, PROCESS & UTILITIES
GE Power, p.74 (Wed. 2:30, Boston University)
SIMULIA (Wed. 3:45, Boston University)
SIMULIA (Wed. 9:15, Salon H)
Quest Integrity Group p.84 (Wed. 2:30, Salon H)
Saba Metallurgical and Plant Engineering Services, LLC p.86
(Wed. 3:45, Salon H)
HIGH TECH
Bosch p.62 (Tue. 8:30, Boston University)
DfR Solutions p.68 (Tue. 9:15, Boston University)
Digital Product Simulation Inc. p.68 (Tue. 10:30,
Boston University)
Motorola Mobility LLC p.79 (Tue. 11:15, Boston University)
Baxalta p.51 (Tue. 4:00, Exeter)
SIMULIA, H. Surendranath (Tue. 2:45, Boston University)
BIOVIA, Arnaiz H and Unruh K. p.53 (Tue. 4:45, Exeter)
INDUSTRIAL EQUIPMENT
Biogen p.52 (Wed. 10:30, Exeter)
CISDI Engineering Co., Ltd. p.64 (Tue. 8:30, Salon H)
BIOVIA, Ruth, J. and Unruh K. p.58 (Wed. 11:15, Exeter)
Ariens p.48 (Tue. 9:15, Salon H)
BIOVIA, Forman, K. p.55 (Wed. 1:45, Exeter)
United Arab Emirates University p.92 (Tue. 10:30, Salon H)
BIOVIA, Spence, A. p.59 (Wed. 2:30, Exeter)
H.C. Starck p.74 (Tue. 11:15, Salon H)
MATERIALS
Colorado School of Mines p.65 (Tue. 2:45, Salon H)
Mechanical Design & Analysis Corporation p.78 (8:30 Tue.,
Salon J)
Intel p.76 (Tue. 1:00, Simmons)
Cradle North America Inc p.66 (Tue. 1:00, Tufts)
TotalCAE p.91 (Tue. 1:00, Regis)
CST p.67 (Tue. 1:00, Wellesley)
BETA CAE Systems S.A p.51 (Tue. 1:00, Harvard)
Cray p.67 (Tue. 1:00, Boston University)
Stratasys p.88 (Tue. 1:30, Simmons)
Camso p.62 (Tue. 9:15, Salon J)
Cornell University p.66 (Tue. 10:30, Salon J)
DuPont de Nemours p.69 (Tue. 11:15, Salon J)
Veryst Engineering p.95 (Tue. 2:45, Salon J)
Unilife Medical Solutions p.92 (Wed. 9:15, Salon J)
The Procter & Gamble Company p.83 (Wed. 2:30, Salon J)
SIMULIA (Wed. 3:45, Salon J)
Quest Integrity Group p.84 (Tue. 1:30, Tufts)
MULTI-INDUSTRY
SGI p.87 (Tue. 1:30, Regis)
University of Zagreb p.94 (Wed. 2:30, Regis)
Simpleware p.87 (Tue. 1:30, Boston University)
Missouri University of Science and Tech p.79 (Wed. 3:45, Regis)
Wolf Star Technologies p.96 (Tue. 1:30, Harvard)
Mechanical Design and Analysis Corporation p.77 (Wed. 2:30,
Salon K)
Tranvalor S.A. p.91 (Wed. 10:30, Boston University)
Endurica p.70 (Wed. 10:30, Harvard)
Grupo Smarttech, p.75 (Wed. 3:45, Salon K)
NATURAL RESOURCES
Thornton Tomasetti Weidlinger Applied Science p.90 (Wed.
10:30, Salon H)
Baker Hughes, van der Zee, p.51 (Tue. 8:30, Wellesley)
DfR Solutions p.68 (Wed. 10:30, Regis)
Paradigm Geophysical p.80 (Tue. 9:15, Wellesley)
Psylotech p.84 (Wed. 10:30, Tufts)
The University of Texas at Austin p.90 (Tue. 10:30, Wellesley)
Granta Design p.73 (Wed. 10:30, Simmons)
ExxonMobil p.71 (Tue. 11:15, Wellesley)
Capvidia p.63 (Wed. 10:30, Salon K)
Eni S.p.A. p.71 (Tue. 2:45, Wellesley)
LIFE SCIENCES
Becton Dickinson p.51 (Tue. 8:30, Harvard)
Purdue University p.84 (Tue. 9:15, Harvard)
BIOMODEX p.52 (Tue. 10:30, Harvard)
Capvidia p.63 (Tue. 11:15, Harvard)
Saint Louis University p.86 (Tue. 2:45, Harvard)
Tenaris Dalmine SpA p.89 (Wed. 9:15, Boston University)
Halliburton, Shen, p.74 (Wed. 9:15, Wellesley)
Halliburton, Zhong, p.75 (Wed. 9:15, Tufts)
Baker Hughes, Hoeink, p.50 (Wed. 2:30, Tufts)
C-FER Technologies p.65 (Wed. 2:30, Wellesley)
Baker Hughes, Zhu, p.50 (Wed. 3:45, Wellesley)
Lse Design Inc, p.77 (Wed. 3:45, Tufts)
OPTIMIZATION
BIOVIA, Luszakoski K. p.57 (Tue. 2:00, Exeter)
Principia p.83 (Wed. 9:15, Simmons)
BIOVIA, Fiegland L. p.55 (Tue. 2:45, Exeter; Wed. 8:30, Exeter;
Wed. 1:00, Exeter)
Optimal Device p.80 (Wed. 2:30, Simmons)
UberCloud p.92 (Wed. 3:45, Simmons)
45
PREDICTIVE MODELING AND COLLABORATIVE
SCIENCE RESEARCH
TRANSPORTATION & MOBILITY
Pfizer p.81 (Tue. 2:00, Fairfield)
Hyundai Motor Company p.75 (Tue. 9:15, Simmons)
BIOVIA, Dejoannis, p.54 (Tue. 2:45, Fairfield)
Technische Universität München p.89 (Tue. 10:30, Simmons)
PQ Corp. p.83 (Tue. 4:00, Fairfield)
Durham University p.70 (Tue. 4:45, Fairfield)
Mercedes Benz Research and Development India p.78
(Tue. 11:15, Simmons)
BIOVIA, Todd, p.59 (Wed. 8:30, Fairfield)
Illinois Institute of Technology p.76 (Tue. 2:45, Simmons)
Solvay p.88 (Wed. 9:15, Fairfield)
TRANSPORTATION & MOBILITY II
BIOVIA, Reynolds, p.58 (Wed. 10:30, Fairfield)
FCA Engineering India Pvt Ltd p.72 (Tue. 8:30, Tufts)
Stevens Institute of Technology p.88 (Wed. 11:15, Fairfield)
General Motors p.73 (Tue. 9:15, Tufts)
Dana Holding Corporation p.67 (Tue. 10:30, Tufts)
Harvard University p.75 (Wed. 1:45, Fairfield)
Colorado School of Mines p.65 (Tue. 11:15, Tufts)
Volpe National Transportation Systems Center p.95 (Tue. 2:45,
Tufts)
PREDICTIVE SCIENCES IN
BMW AG p.62 (Tue. 8:30, Simmons)
BIOVIA, Stevens, A. p.59 (Tue. 2:00, Dartmouth & Wed. 1:00,
Dartmouth)
Astrix p.48 (Tue. 2:45, Arlington & Berkeley)
BIOVIA, Froloff, N. p.55 (Tue. 2:45, Dartmouth)
Amgen p.47 (Tue. 4:00, Arlington & Berkeley)
BIOVIA, Honeycutt, D. p.56 (Tues. 4:00, Dartmouth)
BIOVIA Curran, p.53 (Tue. 4:45, Arlington)
Pfizer p.81 (Tue. 4:45, Dartmouth)
Bristol-Myers Squibb p.61 (Wed. 8:30, Arlington & Berkeley)
BIOVIA, Sage, M. p.58 (Wed. 8:30, Dartmouth)
Amgen p.47 (Wed. 9:15, Arlington & Berkeley)
Collaborations in Chemistry p.65 (Wed. 9:15, Dartmouth)
Pfizer Berliner, p.81 (Wed. 10:30, Arlington)
BIOVIA, van Daelen, T. p.61 (Wed. 10:30, Dartmouth &
Clarendon)
Amgen Shapiro, p.47 (Wed. 11:15, Arlington)
Abbvie p.47 (Wed. 1 :45, Dartmouth)
BIOVIA, Ecccles, N. p.54 (Wed. 2:30, Dartmouth)
BIOVIA, Froloff, N. p.55 (Wed. 3:45, Dartmouth)
BIOVIA, O'Leary, K. p.57 (Tue. 2:00, Suffolk)
BIOVIA, O'Brien, D. p.57 (Tue. 2:45, Suffolk)
Vertex Pharmaceuticals p.94 (Tue. 4:00, Suffolk)
BIOVIA, Winslow, S. p.61 (Tue. 4:45, Suffolk)
Biogen p.52 (Wed. 8:30, Suffolk)
BIOVIA, Vasowalla, M. p.61 (Wed. 9:15, Suffolk)
Biogen p.52 (Wed. 10:30, Suffolk)
BIOVIA, Frost, p.56 (Wed. 11:15, Suffolk)
BIOVIA, Vasowalla, M. p.61 (Wed. 1:45, Suffok)
BIOVIA, O'Leary, K. p.57 (Wed. 3:45, Suffolk)
46
BIOVIA, Tetreault p.59 (Tue. 2:00, Arlington & Berkeley)
BIOVIA Doyle p.53 (Wed. 1:00, Arlington)
RJ Reynolds p.85 (Wed. 1:45, Arlington)
Bristol-Myers Squibb p.62 (Wed. 2:30, Arlington)
BIOVIA, Jansen, p.57 (Wed. 3:45, Arlington & Berkeley)
BIOVIA Tetreault p.59 (Tue. 2:00, Arlington & Berkeley)
Astrix p.48 (Tue. 2:45, Arlington & Berkeley)
Amgen p.47 (Tue. 4:00, Arlington & Berkeley)
BIOVIA, DeAlmeida p.53 (Tue. 4:45, Berkeley)
Bristol-Myers Squibb p.62 (Wed. 8:30, Arlington & Berkeley)
Amgen p.47 (Wed. 9:15, Arlington & Berkeley)
BIOVIA, Tetreault p.59 (Wed. 10:30, Berkeley)
Gilead Sciences p.73 (Wed. 11:15, Berkeley)
PPD p.82 (Wed. 1:00, Berkeley)
BIOVIA, Sefried, p.58 (Wed. 1:45, Berkeley)
Perrigo p.81 (Wed. 2:30, Berkeley)
BIOVIA, Jansen, p.57 (Wed. 3:45, Arlington & Berkeley)
3DEXPERIENCE – the Platform for Sustainable Innovation and Growth
3DEXPERIENCE
To secure sustainable growth in the experience economy, companies and innovators must do (a lot) more with
(a lot) less, create new income streams, and secure mergers, acquisitions and partnerships. Dassault Systèmes
3DEXPERIENCE platform is the business framework for driving sustainable growth–for the individual and the enterprise.
A
Predicting Changes in Antibody-antigen Binding Affinities
Abbvie
Sarah Sirin
Antibodies (Abs) are a crucial component of the immune system and are often used as diagnostic and therapeutic
agents. The need for high-affinity and high-specificity antibodies in research and medicine is driving the development
of computational tools for accelerating antibody design and discovery. We report a diverse set of antibody binding
data with accompanying structures that can be used to evaluate methods for modeling antibody interactions. Our
Antibody-Bind (AB-Bind) database includes 1101 mutants with experimentally determined changes in binding
free energies (ΔΔG) across 32 complexes. The database, AB-Bind, was used to benchmark computational scoring
potentials for their ability to predict observed changes in binding free energies. Although there was a clear signal
in tests discriminating mutations that improved/reduced binding, the prediction performance of all methods was
modest, indicating a continued need to improve computational approaches for binding affinity predictions.
Brand: BIOVIA
Applying Semantic Web Technologies to Instrument Integration with ONELab Foundation
Amgen
Dave Kostin, Don Rolph
Installing hundreds of new laboratory instruments each year is requires a significant commitment of resources. To address this,
Amgen has partnered with BIOVIA to leverage Semantic Web technologies and Allotrope Foundation standards to develop and deploy
nearly ‘plug-and-play’ capabilities to connect new instruments to the ONELab application.
Technologies: BIOVIA’s ONELab Foundation, Allotrope’s ADF Data Packet, Web Ontology Language (OWL), SPARQL
queries, and Data Federation
Holistic Lab Program Management: How to Deliver Transformational Informatics Portfolio
Amgen
Huck Shapiro, Ken Raiche (BIOVIA)
In the world of cloud computing, mobile integration and big data, there is an expectation that complex project
solutions can be delivered at a faster pace with greater levels of capabilities. Amgen's vision for increased productivity,
reduced cycle time and improved compliance resulted in deploying the Holistic Lab solution, a single integrated
platform across the global Process Development organization.
This session will share how Amgen has successfully delivered rapid value realization 65% faster with 5 GMP
validated releases of BIOVIA's integrated ONELab solution in 12 months using Agile Scrum. This model continuously
incorporated the latest vendor software releases to leverage new functionality.
Brand: BIOVIA
Instrument Integration: Bridging Parallel Efforts Using LES in Quality Control and Instrument Data
Acquisition (IDA) in Development Labs
Amgen
Jay Stimpson, Janford Leivera, Matt Potter-Racine
Abstract not available at time of printing.
Brand: BIOVIA
47
Analytical Frame Design for Commercial ZTR Mowers
Ariens
Aleysha Kobiske, Mathew Weglarz, Josh Wilson
Computed simulation is a powerful tool that has the ability to predict the behavior and life of a structure. The
difficulties in utilizing finite element software arise when determining how to implement the loads and boundary
constraints into the model such that it mimics the real world. This paper will discuss how the engineers at The Ariens
Company utilize Abaqus/CAE and fe-safe throughout the design process of a zero-turn mower. These two programs,
in collaboration with Wolf Star Technologies True-Load software, are used to determine the life and actual loads acting
on one of the current lawn-mower frames. Once these loads are known, the capabilities of Abaqus/CAE allow for the
model of the current frame design to be easily and confidently constructed. The analysis of that frame is then used
to drive the design of the new frame which is then analyzed with the loads from True-Load in Abaqus/CAE. When
the correct loading is applied, the results are meaningful and representative of how the frame will respond in the real
world. The outcome is that a better product is designed due to a deeper understanding of how the structure behaves.
Brand & Keywords: SIMULIA, Durability & Fatigue
Three-dimensional Numerical Foot Model for Running Shoe Designing
ASICS corporation
Tsuyoshi Nishiwaki, Mai Nonogawa
In the designing process of running shoes, some requirement functions such as stability, cushioning and comfort
have to be considered. Many researchers have pointed out the importance of shoe stability, which means control of
excessive foot and ankle joint motions or pronation, due to long term running with poor stability shoes causing various
lower extremity injuries. Therefore, establishment of a prediction model of the requirement functions based on the
computer simulation must be a strong means. Moreover, it can lead to a sustainable design without prototyping. In
this study, footwear stability prediction method is proposed by using Abaqus. The numerical foot model, constructed
by stacking computed tomography images, composes of 24 bones, cartilage, soft tissue, the plantar fascia and six
ligaments. Ankle joint force and torque during the contact phase in running are used as loading conditions for the
analysis. These components are obtained from the inversed dynamics analysis. In order to check the validity of the
numerical model, planter pressure distributions and calcaneus eversion angles on the polymer foam sheets with three
kinds of hardness were calculated and compared with the practical running motion analytical results. These values are
corresponding to indices of shoe comfort and stability, respectively. From these results, the numerical model could
predict not only the plantar pressure distribution, but also calcaneus eversion angle during the contact phase. This
indicates that the proposed model is a powerful tool in the practical running shoe designing.
Brand & Keywords: SIMULIA, Biological Modeling
AstraZeneca
Daniel Hunnyman
Independent of the systems in place there will be a time to move to the next generation solution. When this time
comes you have many questions to answer regarding the master data and operational data contained in the existing
solution. Beyond ensuring data continuity is maintained, how to assess what has worked well, what needs improving,
and what should be retired? In this session we will review the topology that Astra Zeneca has in place for the quality
control labs worldwide and discuss the challenges that they face with the implementation of the Next generation
ONE Quality Lab solution. BIOVIA will present the vision and strategy for system upgrade and migration and report
out on our progress to date.
Brand: BIOVIA
Unifying the Right Tools, Technology and Talent for Laboratory Workflow Optimization
Astrix
Robert Walla
Significant changes have occurred in the last few years in life sciences research, including the move to a balanced
portfolio between biologics and small molecules, coupled with an increase in collaborative research across multiple
companies, CROs, and academic institutions. At the same time significant changes have been occurring in the
technology landscape with the increased importance of cloud computing, mobility, social collaboration and the
application of big data analytics. Successful implementation of a scientific informatics strategy requires deep domain
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expertise in the systems and the subject matter. This session will focus on case studies in which scientists in research,
development and quality labs around the world have utilized informatics strategies to increase productivity and make
meaningful use of their data for better decision support.
Brand: BIOVIA
Analysis Tools for Accelerated Development of Composite Materials
ATA Engineering
Jonathan Buck and David Najera
Composite materials continue to rapidly improve in terms of structural performance. These materials offer the promise
of significant weight reduction in many products particularly aerospace structures, where weight minimization is
critical to both cost and overall performance. Despite this potential, however, several challenges prevent composite
materials from being used as widely and pervasively as traditional materials. In particular, preliminary design concept
evaluation of a structure with a novel material is difficult without a lengthy, expensive test program to provide the
requisite material properties, but firms are justifiably reluctant to invest this time and money without confidence
that the material under consideration merits such expense. Additionally, the stochastic nature of most composite
materials means that a large number of samples may need to be tested and conservative knockdown factors be used
in developing strength allowables. A unified set of analysis tools have been developed to address these challenges
within two material architectures in mind, fiber-reinforced laminates and woven-fiber composites. Through the use of
this tool, the tremendous savings in time and cost can be realized in developing and utilizing new composite material
systems. Example applications will be shown to predict the strength of a particular material system.
Brand & Keywords: SIMULIA, Composites, Material Modeling, Process Automation
Applicability of Modal Dynamic Method in Seismic and Aircraft Crash Analyses of NPP Structures
Atomenergoproekt
Vlaldimir Korotkov, Andrey Ivanov
This work is considered to overview the applicability of modal dynamic method in seismic and aircraft crash analysis
of NPP structures. In the work, soil-structure interaction is taken into account, the problem of 20%-limiting of
modal composite damping is researched, and results of different methods (Direct integration method, modal method,
and upgraded modal method, when projected damping matrix is fully populated) are compared on the test model
and on the real structure model. A simple test was solved theoretically in Abaqus with global damping matrices
acquired by modal and direct integration methods compared. It is worth noting that both methods are approved for
use in dynamic analysis of NPP structures by ASCE 4-98, but in most cases direct integration method gives more
conservative results.
Brand & Keywords: SIMULIA, Contact & Impact Mechanics, Dynamics & Shock
Weight Optimization of a Landing Gear Steering Collar using Tosca in Abaqus
Aventec Inc.
Syed Noman Husainie, Hector H. Mireles and Aqib Qureshi
The adoption of topology optimization as a tool in the design cycle of a landing gear was tested using Tosca in
Abaqus. The optimization process was carried out in collaboration with one of the leading landing gear manufacturers.
The manufacturer is already a user of CATIA and Abaqus and was interested to see the capabilities of Tosca. To test
Tosca’s capabilities, a landing gear steering collar which was already in production and had previously gone through
several phases of design iterations was used as the sample component. The steering collar weighed 35.155 lb before
the optimization and there was little room for further material reduction largely due to multiple contact regions
and multiple loading conditions. The manufacturer had chosen the steering collar as a test to see the strengths of
Tosca as far as contact nonlinearities and multistep analysis are concerned. The analysis included multiple loading
conditions such as oversteer, maximum spin up, and fatigue. Various manufacturing and geometrical conditions were
also taken into consideration. Using a combination of CATIA, Abaqus, and Tosca, an optimized steering collar design
was achieved with an approximately 19% reduction in mass when compared to the original design of the steer collar.
The final mass of the redesigned steer collar was 28.521 lb. The results were well appreciated by the design team of
the landing gear and the team is now under consultation with senior management over the adoption of Tosca as a
necessary tool in their design cycle.
Brand & Keywords: SIMULIA, Design Optimization, Optimization
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B
Flow Induced Vibration Modeling by using CFD/FEA
Baker Hughes
Bin Zhu
The modeling of flow induced vibration is of great importance in understanding the structure-fluid interactions,
maintaining the safety of the equipment, as well as promoting productivity. The background of current work is about
an x-annular flow valve oil completion tool (X-AFV) with high gas flow passing through the valve, causing pressure
oscillation due to flow separation and high turbulence energy. The objective is to assess the vibration level in order
to protect the tool from damage. The first step was to perform CFD simulation by using Fluent. The valve port region
was identified as the primary vibration source. CFD was only conducted on this part of the tool. Turbulent transient
flow was modelled with Detached Eddy Simulation (DES) turbulence model. The FFT was performed to yield PSD of
pressure fluctuations at high turbulence region. The next step of the work was to extract natural frequencies of the
tool by using Abaqus on a simplified geometry. The PSD of pressure fluctuations, representing the excitation force,
was compared to the natural frequencies of the tool. The last step was to utilize Random Vibration Analysis to obtain
the PSD and root mean square of stresses to assess the random vibration effect, by using PSD of excitation pressure
obtained from CFD prediction. The results were discussed.
Brand & Keywords: SIMULIA, Material Modeling
Mechanisms-Based Fracture Model For Geological Materials
Baker Hughes
Tobias Hoeink, Alek Zubelewicz
Over the past decade, hydraulic fracturing has become an industry-changing technology that enables commercial
production of hydrocarbons from previously non-productive low-permeability shale formations. R&D efforts focus
on the development of economically efficient production protocols, where the selection of engineering solutions is
guided by numerical simulations. Typically, the simulations are based on phenomenological fracture models that are
adapted for the prediction of fluid-driven fracture processes at depth. These models rely on a long-term trial-and-error
approach and offer reliable material response at conditions that have previously been experimentally investigated.
For this reason, an extrapolation of such phenomenological models into untested regimes is not always successful.
We break with the tradition of using phenomenology and, instead, construct a mechanisms-based fracture model
for geological materials. Our modified Mohr-Coulomb fracture model is developed in the framework of tensor
representation theory, which allows for a direct translation of fracture mechanisms and the observed inelastic
deformation into a mathematically precise description. In our description, plastic deformation is rate dependent
and dilatation is determined over a three-dimensional topography of the slip plane. The contribution of asperity
degradation is also included. The model monitors crack orientations and, in this manner, adds to the fracture-induced
anisotropy. Fracture strength is stochastic. We also introduce an effective stress that accounts for the hydraulic
pressure deposited onto crack surfaces. Friction-induced damage and tensile fractures are the sources of an enhanced
hydraulic permeability. Our permeability model is also stochastic, and it describes the formation of flow-channels
due to the coalescence of micro-cracks in tension and shear. To illustrate the approach we choose material properties
applicable to shale. We test the material model using uniaxial tension, compression and triaxial stress conditions on
a single element before advancing to relevant subsurface model geometries.
Our current study focuses on the simulation of fluid-driven fracture near a pressurized wellbore. The results
demonstrate that fracture growth is often dynamic; inertial forces play a significant role. Because fracture strength
is stochastic, the process often becomes dynamically unstable and produces bursts of kinetic energy that propagate
away from localized regions of low fracture strength. As expected, friction-induced damages are responsible for the
formation of micro-channels, which in turn are connected to the channels formed by the dominant tensile cracks.
The model is implemented to Abaqus/Explicit as a material user subroutine. We calibrate the properties of a shale-like
material and study the material responses under axial loading and selected subsurface conditions.
Brand & Keywords: SIMULIA, Geomechanics (Oil & Gas), Material Modeling
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Coupling Reservoir Simulation and Geomechanical Modeling to Improve the Analysis
of Hydrocarbon Reservoir Behavior
Baker Hughes
Wouter van der Zee, Trevor Stoddard, Deric Stone, Maarten Voorn
In oil and gas field development, reservoir simulation is applied to accurately predict and analyze fluid flow during
production. The results of reservoir simulation can be used as input for 4D geomechanical modeling to obtain the
earth’s mechanical response such as reservoir compaction. However, in such a one-way coupling scheme, the
geomechanical response of a system has no influence on the reservoir simulation, whereas in real-life, the mechanical
and flow behavior are not independent. In two-way coupling, this dependency is taken into account. Two-way
coupling is performed using the JewelEarth platform, connecting CMG’s IMEX Blackoil simulator and Abaqus for
the geomechanical simulations. In the coupling process, the available pore volume and pore pressures are updated
in the reservoir at each time step, while not changing the fluid accumulations (masses). Optionally, the reservoir
simulator’s internal geomechanical estimate is continuously enhanced with a pseudo-compressibility using the
modelled geomechanical response. The differences between one-way and two-way coupling implementations are
very clear when applied on a benchmark model used by numerous authors. However, the benchmark model was
designed to show the largest possible effect of two-way coupling. When changing only a few parameters to more
realistic properties, the one-way and two-way coupled results are much more alike. This shows that, while two-way
coupling may be advantageous in some extreme cases, it may not be worth the extra simulation time and effort for
each hydrocarbon reservoir.
Brand & Keywords: SIMULIA, Geomechanics (Oil & Gas), Multiphysics & Co-simulation
Discoverant OSIsoft PI AF/EF Interface Implementation
Baxalta Steve Kane
In this presentation we will review the requirements, design, development and implementation of the Discoverant
OSIsoft PI AF/EF interface. This includes an introduction to PI AF/EF concepts, terminology and examples from an
actual implementation. The presentation will finish with recommendations for bringing continuous and discrete data
to your Discoverant hierarchy via this interface.
Brand: BIOVIA
Thermal - Fluid Co-Simulation of DNA Sequencing Thermocycler
Becton Dickinson
Mitchell Gatesman
Sequencing and amplification of DNA involves a precisely controlled thermal incubation cycle. Upscaling of traditional
thermocyclers can be problematic due to non-uniformities induced across large incubation plates. Multiple chip
profiles are studied to compare edge effects and promote uniform thermal histories across the incubation plate.
Thermal performance is evaluated via steady-state heating within Abaqus/Standard. Transient cooling is modeled via
Abaqus co-simulation by coupling thermal and fluid models.
Brand & Keywords: SIMULIA, Design Optimization, Multiphysics & Co-simulation
Simulation Data Management in Pre and Post Processing
BETA CAE Systems S.A
Dimitrios Katramados
The ever growing demand for simulation modeling, driven by product design cycle duration and cost restrictions,
has elevated the complexity and importance of simulation data management. The number of modeling simulations
increases, while simulations also have to be performed with a faster. These pose new challenges for the quality
assurance, productivity, and collaboration of designing teams who need to study numerous design changes and
associate them with the corresponding results' changes quickly to evaluate new designs. To meet these requirements,
existing solutions usually involve 3rd party software dedicated to the management of data interchanged between
the modeling pre-processor, solver, and results’ post-processing software. However, in most cases, these solutions
favour only one of the aforementioned software. BETA CAE Systems S.A. has been active in the field of simulation
and data management for ten years, constantly developing solutions that follow modern trends in this field. The
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latest tool is an evolution of ANSA DM, the discipline-independent pre-processor data management solution, which
now also includes post-processing. This means that both ANSA (pre-processing) and now also μETA (post-processing)
have inherent data management capabilities. While still a user friendly, file-based tree structured system, ANSA
DM builds on the existing, part level support, introducing two additional levels: the Simulation model and the
Simulation run. In practice, coupled with the automation of loadcasing and post-processing, ANSA DM streamlines
the association of part version with the corresponding models and simulation runs, helping to create and use a library
of pre-processing files, runs, key results and reports. Post-processing actions can be automated and initiated within
a single user interface and the resulting files and report (curves, tables/spreadsheets, videos, images) are exported
linked with the corresponding simulation runs and can be readily displayed through a viewer in either ANSA or μETA.
Additionally, the overlay and comparison of results from different design variants and runs is also facilitated, based
on the associations built intrinsically between them. As such, the tool also minimizes user intervention which can be
tedious and error-prone. Run from a known software environment also means it is easier to adopt and implement by
users of ANSA and μETA while, being a scalable solution, means that ANSA DM can be used from a single engineer
up to multi-member teams. This presentation will demonstrate a process of using ANSA DM to setup a model process
in ANSA, followed by running the Abaqus solver to produce results. The results of interest will then be processed by
μETA, saved compressed in its native binary format. ANSA DM thus proves to be a valuable tool in consolidating the
modeling process from model pre-processing through the post-processing of its results which can then be archived
with reduced disk space-footprint.
Brand & Keywords: SIMULIA, Pre-Processing, Post-Processing
Integrating Systems in the Next Generation Manufacturing Paradigm
Biogen
YvonneLedford
Biogen is taking the next step to integrate the next-generation of process automation into the process monitoring
data management platform. The ability to integrate and aggregate data remains the top monitoring challenge as we
move into the future of biologics manufacturing. This talk will provide an overview of current work at Biogen in the
area of data platform adaptation for the next generation biologics manufacturing and control.
Brand: BIOVIA
Biogen
Aaron Marsh
Collaboration with third parties such as CROs, CMOs, and suppliers is necessary in a global economy. Organizations
in Life Science have to comply with some of the strictest regulations in business and yet find ways to openly but
securely collaborate with their business partners. Customers with DocCompliance find it necessary to share and
receive documents from third parties. Learn about QUMAS iX, a cloud-based secure and compliant solution for sharing
documents from DocCompliance.
Brand: BIOVIA
Business Intelligence with DocCompliance
Biogen
Jeanne Maciel
ComplianceUnity is a powerful dashboard and reporting application that enables business users to ask business
questions of the data behind DocCompliance – documents and workflows. This session will cover some best practices
in configuring DocCompliance to enable rich reporting, example of dashboards, and a preview of the tools in building
these dashboards and reports.
Brand: BIOVIA
BIOMODEX 3D Printed Surgical Simulators
BIOMODEX
Sidarth Radjou
Preventable medical errors are the No.3 killer in the U.S. causing the deaths of over 400,000 people every year.
Whereas companies in other sectors have embraced 3D technology and simulation to optimize and predict real-life
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behavior, the medical industry has yet to fully take advantage of these advances relying more on cadavers, manikins
and animals to advance the cause of healthcare.
Biomodex is using advanced software and 3D printers to fabricate life-like organs that can be used for medical
training and pre-operative preparation. Using data obtained through organ imaging via an MRI or scanner, Biomodex
developed a process that helps automate the creation of a virtual 3D model of that organ, which can then be printed
using a 3D printer. We are improving health care safety by enabling practitioners and medical students to acquire
knowledge and experience without putting patients at risk.
Brand: SIMULIA
BIOVIA
Heather Arnaiz and Karri Unruh
BIOVIA Pipeline Pilot is proving to be a very powerful extension to BIOVIA Discoverant, and many Discoverant users
can’t wait to use it like experts! Join us as we demystify this powerful new technology: in this session we will review
the various elements of Pipeline Pilot, outline the configuration requirements for integrating Pipeline Pilot with
Discoverant, and walk through creating a protocol with components from the Discoverant Collection.
Brand: BIOVIA
Cloud Solutions for Collaborative Sciences
BIOVIA
Fred Bost & Ton van Daelen
Many forward-looking pharma and biotech firms are considering cloud technologies to improve R&D productivity,
enhance collaboration (internally and externally with partners), reduce risk and lower costs. Protecting critical data is
understandably a top priority in today’s increasingly collaborative and externalized cloud environment. The challenge
is to secure the intellectual property of different parties, while enabling networked partners (and no one else) to
access the data they need in a dynamic, fast-changing project landscape. It is important that the systems in place to
safeguard data be certified to an accepted industry standard. This talk will address best-practice standards for ensuring
that confidential and proprietary information remains secure, as pharmas move critical data and infrastructure to the
cloud.
Brand: BIOVIA
Latest Enhancements, Integrations, and New Product Innovation for the Development Lab
BIOVIA
Dennis Curran
BIOVIA’s goal in the laboratory informatics space is to provide users with one unified experience that streamlines lab
processes and automates workflows.
This presentation will provide an updated view of the Unified development lab focusing on the new capabilities for
formulation development, process chemistry and analytical development.
We will discuss our latest enhancements in experimental workflows and highlight our newest mobile recipe and
method development and execution applications along with equipment and material management.
Brand: BIOVIA
BIOVIA Capabilities for the QC Lab Today and in The Future
BIOVIA
Daniel DeAlmeida
Evolving from a paper-based system to an automated compliance system must initially mimic existing policies
and procedures in order to minimize disruptions to current operations. BIOVIA quality solutions are easy-to-use
environments for procedure execution, eliminating paper documentation, simplifying QA review/approval and
enabling organizations to reduce quality costs, review, reporting cycles, rework loops, and increase capacity without
adding head count. This session will discuss the current progress in the quality lab solution, an update of the
upcoming release, and a glimpse of the future user experience of the applications.
Brand: BIOVIA
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Simulating Crosslinking Using Materials Studio
BIOVIA
Jason DeJoannis
Crosslinked materials such as epoxies are known for their unique properties such as high strength and resistance to
temperature and chemical degradation. I will review how these materials can be generated using an iterative process
of molecular dynamics, proximity search and new bond formation. Then I will show how crosslinking can be applied
to interfaces. This is an area of growing interest, for instance in additive manufacturing, where precise control of
a moving crosslinking front is desired. Then I will consider self-crosslinking systems. Traditional epoxies are linked
together via an additive known as a hardener or curing agent. I will show how siloxanes can self-crosslink into porous
networks.
Brand: BIOVIA
The Role of Unified Laboratory Management in the Seamless Qualification Solution Experience
BIOVIA
Michael Doyle
One of the industries which Dassault Systems serves is the industrial equipment domain. Within this are the major
global care tire producers. Michelin, Goodyear, Pirelli and Kuhmo. The development of tires consists of an iterative
design cycle that spans simulation i.e. virtual tires and tread testing, lab testing, shop and track testing and usage
and market testing. It is at this stage that complexes challenges such as reformulation of elastomers for lower
rolling resistance, reduction of tendency for hydroplaning and traction performance are balanced and adjusted. The
connection between the business needs and decisions, the nature and characteristics of materials, semi-finished
goods and final products, needs to be managed and tested in a compliant and consistent manner. The BIOVIA unified
laboiratory management supports such structured and consistent measurements across these domains and therefore
leads to advanced models and data-driven decision making.
Brand: BIOVIA
Leveraging 2D and 3D/Structure-based Predictive Capabilities in Early Antibody Discovery
BIOVIA
Neil Ecccles
The discovery of therapeutic antibodies is challenging. Applications such as BIOVIA Biotherapeutics Workbench
(BTX) streamline discovery by enabling molecular biologists to rapidly visualise, annotate and understand antibody
sequences and associated data. In this talk we will demonstrate how current 2D/sequence-based developability
property capabilities in BTX can be augmented with other 2D/sequence-based properties such as germline prediction,
and 3D/structure-based calculations from BIOVIA Discovery Studio. Thanks to a common underlying platform, bestin-class modelling algorithms from Discovery Studio can be made readily available to non-expect users early in
discovery, enabling structure-based developability indices, aggregation scores and more to be used to guide decision
making and help identify the best candidates.
Brand: BIOVIA
Leveraging Derived Parameters, Old and New
BIOVIA
Larry Fiegland
When working within InVision, creating derived parameters can be a very useful skill to master. This presentation
will demonstrate many techniques that can be used when creating derived parameters within Discoverant. Many
new derived parameters features have been added in recent releases of BIOVIA Discoverant. This talk will focus on
those new enhancements, including: Derived Dates, Derived Replicate parameters, and Derived Complex Regression
Statistics
Brand: BIOVIA
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Using BIOVIA Discoverant and QUMAS iX for Data Exchange and Collaboration Between Sponsors and
Contract Manufacturing Organizations
BIOVIA
Larry Fiegland
Contract Manufacturing Organizations (CMOs) are a vital part of today’s life sciences supply chain network. Quality
and process data collected by contractor and sponsor organizations on paper and electronically is organized to serve
many different needs of specialized users. This creates problems for the separate organizations when monitoring
and also impedes process understanding and improvement when implementing initiatives like CPV in accordance
with updated Guidelines for Quality Agreements. Discoverant and QUMAS iX can be integrated to promote secure
data transparency between organizations in a validated environment without resorting to non-secure emails or errorprone, manually prepared spreadsheet and PDFs.
Brand: BIOVIA
Exploring the Synergies Between Discoverant and Pipeline Pilot – Templated Reporting
BIOVIA
Larry Fiegland
Do you create weekly reports? Or maybe you are responsible for monthly or annual reports like APRs or PQRs.
Do you spend most of your time gathering the data, analysis, or charts for these reports? This talk will show
how you can use Pipeline Pilot and Discoverant to automatically generate templated reports. We will demonstrate
how Discoverant can gather your data, perform the analysis, and provide the charts to Pipeline Pilot. We will also
demonstrate how Pipeline Pilot can work with Discoverant to generate your templated report.
Brand: BIOVIA
Discoverant Implementation Best Practices
BIOVIA
Ken Forman
When deploying new enterprise-capable informatics platforms, businesses strive to optimize their investment. While
return on investment timelines are dependent upon both the product usage as well as amount of investment, several
criteria are key to optimization: getting the system built right first time; getting the system up and running as quickly
as possible to start the ROI clock; identifying the team’s roles and time commitments to increase implementation
efficiencies; and ensuring users are set to succeed upon GoLive through maintenance. This presentation seeks to
share Discoverant implementation best practices towards these key endeavors.
Brand: BIOVIA
3DEXPERIENCE and BioPLM
BIOVIA
Nicholas Froloff
The purpose of the 5-year BioIntelligence Program was to develop an integrated software environment, coined
“BioPLM”, for the discovery and development of new biological entities and products (from molecules to biological
pathways, cells, organs, including regulatory aspects) for life sciences industries and research institutes, and in
particular for pharmaceuticals, cosmetics, and agrochemicals.
This resulted in BIOVIA applications which are now delivered on the 3DEXPERIENCE platform, as part of the “Designed
to Cure” solution. The solution is designed to address the challenges and improve the efficiency and effectiveness
of the drug discovery and development process. Through global scientific collaboration, scientific content federation
and semantic search, and virtual modeling and predictive simulations, pharmaceutical researchers and their global
ecosystem are using this solution today to quickly and more efficiently create new drugs and improve the success
rate of delivering new, better targeted therapeutic solutions.
The BIOVIA applications of this solution will be presented, and will be demonstrated on a particular use case in a
project of drug discovery in oncology.
Brand: BIOVIA
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Biological Safety Modeling
BIOVIA
Nicholas Froloff
Unexpected adverse events are reasons of drug development failures that contribute to the attrition rate in
pharmaceutical industry. A possible cause specifically associated to biotherapeutics (peptides/proteins) is
immunogenicity: the ability of some biotherapeutics to trigger immune responses that conduct to the generation
of antibodies specifically directed against the drug. This immune response can possibly reduce the treatment
efficacy and provoke adverse effects. Predicting immunogenicity is proving difficult because of the complexity of the
underlying biological processes. We present here the BIOVIA Biologics Safety Profiler, which is an application based
on modeling and simulation approaches that can help the pharmaceutical R&D to prioritize promising drugs with
respect to the immunogenicity risk.
Brand: BIOVIA
Paper to Electronic: Strategies and Solutions to Eliminate Paper from Manufacturing
BIOVIA
Chris Frost
The pharmaceutical and biotech industries make extensive use of paper in their operations which introduces risks
associated with a manual process, delays, human error, and loss. Learn about different ways and different areas where
traditionally paper processes can be fully or partially automated with electronic documents, forms, and workflows.
Peer discussion is encouraged to enable shared learning and exchange of ideas.
Brand: BIOVIA
ProcessCompliance: Overview of New Features and Enhancements
BIOVIA
Chris Frost
ProcessCompliance is the electronic forms and workflow application that has been significantly enhanced for user
experience and performance. Support for localization has been added to enable the application to be configured once
for multiple languages and rendered in local language based on user preference. In addition, ProcessCompliance has
received many new features and enhancements to old ones. Learn about some of the new features and how best to
utilize them.
Brand: BIOVIA
Ask the Experts Panel: How Can License to Cure Applications Solve
a Pressing Business Problem Today?
BIOVIA
Chris Frost and Murtuza Vasowalla, BIOVIA
BIOVIA is focused on solving the most pressing challenges facing the pharmaceutical and biotech industry. In this
session, experts from BIOVIA will be on hand to discuss areas where License to Cure applications can be applied. Bring
your most pressing issues and challenges and leverage the knowledge and experience of our experts as well as your peers.
Brand: BIOVIA
Characterization and Cleaning of Scientific Data and Models
BIOVIA
Dana Honeycutt
If we want to use data to answer questions and help make decisions, we need to be able to characterize and, if
needed, clean our data sets. Sometimes we can learn what we need simply by looking at the data in the right
way. Other times we need to build predictive models. We can then use these models not only to make predictions,
but also to determine the most important variables in the data. This talk covers both new and old techniques in
BIOVIA Pipeline Pilot for characterizing our data and the models we build from them, and for cleaning the data when
required.
Brand: BIOVIA
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Panel Discussion Session: How Can the Laboratory Bring Value to the Organization?
BIOVIA
Daniela Jansen
Laboratory operations are involved into all stages of the product life cycle. Our panel will discuss how laboratory
operations have been improved by implementing informatics solutions and how they are supporting their overall
organizational strategies. We will also discuss which strategies have been most impactful addressing Operational
Excellence, cost and risk reduction and time to market.
Brand: BIOVIA
Made Right and Compliant First Time: Business Benefits of Integrating the Manufacturing Process
and Quality Enterprise
BIOVIA
Kate Lusczakoski
Modern manufacturing networks include portions of processes carried out in captive or contract facilities across the
globe. Recent business and regulatory initiatives bring into sharp focus the need to reduce process variability and
improve compliance to shorten time to market, minimize patient risk, and increase profitability with reduced cost of
quality, improved production economics, and reduced supply chain costs. This presentation illustrates how to realize
benefits by implementing an enterprise-class process production operations and compliance system that provides
self-service data access, aggregation, contextualization, analytics, reporting, and documentation management
capabilities that span local and remote process development,
Brand: BIOVIA
3DEXPERIENCE and QUMAS Roadmap to the Future
BIOVIA
Donal O'Brien
License to Cure Applications have had new features put in and have been enhanced. Integrations with ONE Lab
applications (ELN, LIMS, LES, CISPro, etc.) and Made to Cure (Discoverant) are ongoing. In addition, the suite of
supporting applications and integrations are being enhanced. Learn about the Roadmap for the future.
Brand: BIOVIA
Quality & Compliance Executive Keynote
BIOVIA
Kevin O'Leary
Quality and Compliance cuts across industries and geographies. License to Cure applications (DocCompliance and
ProcessCompliance) have been helping Life Science customers for over 20 years to meet their Quality Assurance
requirements and to also support Regulatory Compliance. Kevin O'Leary, CEO of QUMAS and now Executive Sponsor
of the Quality and Regulatory Compliance program across Dassault Systèmes, will discuss trends and the vision for
the Life Sciences industry.
Brand: BIOVIA
Quality & Compliance Executive Q&A
BIOVIA
Kevin O'Leary
Town Hall style Q&A session for customers to ask questions around the License to Cure Applications (DocCompliance
and ProcessCompliance) and the future vision of Quality and Regulatory Compliance within Dassault Systèmes.
Brand: BIOVIA
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BIOVIA
Aidan Quilligan
Collaboration with third parties such as CROs, CMOs, and suppliers is necessary in a global economy. Organizations
in Life Sciences have to comply with some of the strictest regulations in business and yet find ways to openly
but securely collaborate with their business partners. Customers with DocCompliance find it necessary to share
and receive documents from third parties. Learn about QUMAS iX, a cloud-based secure and compliant solution for
sharing documents from DocCompliance.
Brand: BIOVIA
A Virtual Materials Lab in Support of Additive Manufacturing
BIOVIA
Nick Reynolds
In recent years, developments in materials science simulation have allowed researchers to virtually screening
materials. These capabilities can be directly applied in supporting Additive Manufacturing initiatives. Multi-scaling
modeling approaches are coming of age allowing one to begin to connect length scales for property prediction.
Materials property prediction linked with experimental validation enables materials and product design for engineers.
Examples in virtual polymer, mixture and alloy development relevant to Additive Manufacturing will be highlighted.
The gaps that currently exist between simulation length scales needed to support Additive Manufacturing in metals,
and potential technology solutions to address these will be discussed.
Brand: BIOVIA
Optimizing Performance for 24/7 Deployments
BIOVIA
Joseph Ruth and Karri Unruh
With the daily demand for BIOVIA Discoverant analysis, alerting, and reports in global deployments, it is not
uncommon for Analysis Group processing to occur around the clock. Join us for a discussion on different ways to
deploy BIOVIA Discoverant for 24/7 processing with minimal impact to end-user interactive performance. Topics
include new options available in the 2017 release and tuning Discoverant Windows services for maximum efficiency.
Brand: BIOVIA
Exposing Predictive Models in Insight
BIOVIA
Matt Sage
See how BIOVIA Insight can be further extended to become a quantitative decision support tool with QSAR
workbench. Assisting sciences to predictive key end points for novel therapeutics from machine learned models.
Brand: BIOVIA
New Adventures in Digital Continuity: Mastering Material Data to Drive Predictable Outcomes
BIOVIA
Anne Sefried
Understanding material quality from discovery through manufacturing is vital to an organization's ability to
improve product quality and speed innovation. CISPro Material Lifecycle Management is the only comprehensive
material management system that supports the end-2-end development of a material. From purchased materials
to proprietary goods – including new chemical entities, intermediates and finished products – CISPro MLM provides
streamlined work processes to efficiently aggregate all material data. Join us as we focus on the importance of
managing material data as a strategic asset.
In this session we will discuss how a low cost of entry and flexible user experience enable structured data capture
for all materials and guarantee the growth of material knowledge with every receipt. This model provides immediate
operational excellence for material management while leveraging the power of material knowledge to make better
decisions today and ensuring the long-term value of organizational data.
Brand: BIOVIA
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Designing Hierarchies That Suit You Well
BIOVIA
Aaron Spence
Just like the works of Coco Chanel, designing hierarchies takes compassion, creativity, and diligence. Well-designed
hierarchies are easy to navigate, versatile, and enable users to quickly leverage data to meet their needs. However,
overlooking critical design details and omitting analytical goals can result in headaches, wasted resources, and costly
revisions. We will discuss tips, tricks, and common pitfalls to hierarchy design, so that you can be a fabulous fashion
hierarchy designer as well.
Brand: BIOVIA
BIOVIA's Predictive Modeling Strategy
BIOVIA
Adrian Stevens
The Life Sciences industries are being continually challenged to improve quality, while at the same time, reducing
time and costs to market. Delivered effectively into decision-making process, predictive sciences can positively
impact innovation and discovery processes. In this opening talk, we will discuss BIOVIA’s long term strategy to move
predictive science from a hand-crafted artisan process into Enterprise services that can positively shape decisions in
research analytics applications.
Brand: BIOVIA
Molecular Modeling: From Artisan to Automation
BIOVIA
Adrian Stevens
Following on from the earlier introduction to our overall predictive modeling strategy, we will present our plans on
developing modeling from an artisan-based paradigm to one that can be delivered via web-based services. We will
discuss the challenges and practicalities of serving both the expert and the project team successfully. Showcasing a
proof point that successfully ‘encodes the expert’, we will demonstrate current proofs-of-concept that we are actively
developing. This will be an opportunity for customers to engage with us and help steer our strategic plans.
Brand: BIOVIA
The Lab in the Age of Experience
BIOVIA
Gene Tetreault
Today it is a growing trend for science-driven companies to have a “Lab of the Future” vision or initiative underway.
In this presentation we will blend these real world approaches with the digital vision, strategy and roadmap for the
BIOVIA Unified Laboratory Management solutions. This session will also include the perspective of customers who
are already including the BIOVIA solutions into their strategy.
Brand: BIOVIA
BIOVIA
Gene Tetreault
Independent of the systems in place there will be a time to move to the next generation solution. When this time
comes you have many questions to answer regarding the master data and operational data contained in the existing
solution. Beyond ensuring data continuity is maintained, how to assess what has worked well, what needs improving,
and what should be retired? In this session we will review the topology that Astra Zeneca has in place for the quality
control labs worldwide and discuss the challenges that they face with the implementation of the Next generation
ONE Quality Lab solution. BIOVIA will present the vision and strategy for system upgrade and migration and report
out on our progress to date.
Brand: BIOVIA
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Current Developments in Discrete Materials Modeling
BIOVIA
Stephen Todd
This presentation will give an overview of the recent enhancements in BIOVIA’s premier predictive materials modeling
tool. BIOVIA Materials Studio 2016 has improved support for multiscale modeling workflows, extended coverage
of materials and materials properties, and enhanced performance and usability. All new functionality in Materials
Studio will be highlighted. This webinar will also cover exciting developments in the Materials Studio Collection 2016,
showcasing new tight-binding components and prototypes for flexible visualization using WebGL.
A sneak preview of the current development projects will be included showing highlights of what is expected in the
end of year release.
Brand: BIOVIA
Multiscale Modeling: A Brief Review
BIOVIA
Stephen Todd
Multiscale modeling is a ubiquitous phrase and has a number of interpretations. This presentation will give an
overview of some recent applications, define methods that others have used to perform multiscale workflows, and
share some thoughts on what a providing a multiscale solution can mean.
Brand: BIOVIA
Round Table Discussion Session: Where Next for Materials Modeling?
BIOVIA
Stephen Todd
Join Product Manager Stephen Todd for a lively discussion on the next generation tools for predictive discrete
materials modeling.
Brand: BIOVIA
BIOVIA
Karri Unruh
BIOVIA Pipeline Pilot is proving to be a very powerful extension to BIOVIA Discoverant, and many Discoverant users
can’t wait to use it like experts! Join us as we demystify this powerful new technology: in this session we will review
the various elements of Pipeline Pilot, outline the configuration requirements for integrating Pipeline Pilot with
Discoverant, and walk through creating a protocol with components from the Discoverant Collection.
Brand: BIOVIA
Lot Genealogy – Making the Most of Weighted Averages
BIOVIA
Karri Unruh
When analyzing the effect upstream activity has on downstream results, it is important to distinguish the
characteristics of raw materials or upstream lots that contribute to outcomes. BIOVIA Discoverant can be invaluable
in tracing lot genealogy through manufacturing processes that contain multiple splitting and pooling steps, but there
has been no way to determine the contribution that each input lot has to an outcome. Join us as we discuss the ways
in which this next release of Discoverant will provide weighted averages based on contribution amounts from pooled
steps and raw material lots, promoting even more powerful correlation analysis.
Brand: BIOVIA
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Discoverant 2017 Sneak Peak and Roadmap
BIOVIA
Karri Unruh
It’s that time again! Intended for end-users and technical administrators alike, this session provides a look at the
new features and system architecture changes planned for BIOVIA Discoverant 2017. Topics include new methods
for Stability and Expiration Dating, advanced weighted averages for proportional genealogy mapping, new options
for configuring Discoverant to support 24x7 Analysis Group processing, and many more enhancements to existing
tools that can help you make more powerful decisions. In addition, we will review the product roadmap and discuss
product direction beyond this year’s release.
Brand: BIOVIA
Lightning Round: Short Presentations from Pfizer, Ariad, LabAnswer, Saber Informatics, and BIOVIA
about Interesting Work in the Predictive or Collaborative Sciences Areas
BIOVIA
Ton van Daelen
The consistent feedback over the years has been that customers sharing their work have been the most valuable
aspects of the meetings we organize and for that reason we are including a ‘customer lightning round’ session to the
upcoming community conferences in the US and Europe. To maximize the diversity of the content this session will have
a format of short 10 minute presentations about work you have done in the predictive or collaborative sciences areas
Brand: BIOVIA
DocCompliance: Overview of New Features and Enhancements
BIOVIA
Murtuza Vasowalla
DocCompliance is an electronic document management system (EDMS) application and has received many new
features and enhancements to old ones. Learn about some of the new features and how best to utilize them.
Brand: BIOVIA
Panel: Enhancing the Capabilities of License to Cure Applications with Partner Solutions
BIOVIA
Murtuza Vasowalla
License to Cure applications leverage several third party technologies that provide significant value. Learn about some
these technologies and their features.
Brand: BIOVIA
Extending the Value of Your License to Cure Solutions with Professional Services
BIOVIA
Sean Winslow
BIOVIA Professional Services is a long-tenured team of individuals that have implemented DocCompliance and
ProcessCompliance at small, mid-size, and very large organizations. Learn about the programs and services offered
by BIOVIA to maximize your investment in our products.
Brand: BIOVIA
BIOVIA LES Implementation in Support of Biologics Clinical Manufacturing: Lessons Learned from a
Multi-year Journey
Bristol-Myers Squibb
Lori Harmon
While the unvalidated groups of Biologics development moved from paper to electronic notebooks several years
ago, the validated department supporting biologics clinical manufacturing stayed on paper. While the business area
understands the benefits of moving to electronic, the process of converting over a hundred historical methods has
not been straightforward or quick. The presentation will cover the original strategy, how that has evolved over the
years, and lessons learned along the way.
Brand: BIOVIA
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Integrating Laboratory Informatics with a Process Intelligence System for Parenteral Formulations
Bristol-Myers Squibb
Dadong Li and Ed Keefe
For drug product formulation accessing data is paramount to understanding the process. The data, which includes
process parameters, analytical results and batch genealogy, is often dispersed across different electronic systems and
paper records which reside with multiple individuals. This presentation will discuss the implementation of a process
intelligence system for parenteral formulations and the approach taken to standardize data capture. It will focus
primarily on three tools: the electronic lab notebook (BIOVIA Workbook), laboratory execution system (BIOVIA LES)
and process intelligence software (BIOVIA Discoverant).
Brand: BIOVIA
Coupled Eulerian-Lagrangian Contact Modeling for Airbag Deployment Simulation
BMW AG
Bastian Näser, Sigrid Horz, Doris Ruckdeschel, Ivan Podkolzin
The coupled Eulerian-Lagrangian (CEL) method in Abaqus/Explicit is essential in component design of head protection
systems at BMW Group as it allows an accurate modeling of the gas behavior. However, due to the nature of the
algorithm, the modeling of the contact between inflator gas and airbag membrane is a challenging task. Using
conventional modeling techniques, two airbag membrane sections are not able to separate again, as soon as they
come into contact, as the membrane elements are embedded into Eulerian cells entirely filled with inflator gas. The
proposed modeling approach overcomes this severe contact issue and allows separation of the membranes after
having been in contact. The method has successfully been applied for airbag deployment simulations within the
development process at BMW Group.
Brand & Keywords: SIMULIA, Contact & Impact Mechanics
Predicting Post-Drop Failure of Ceramic Chip Capacitors using Abaqus/Explicit
Bosch
Vijeesh Vijayan, Chandan Kumar Ghosh and Sudarshan Hegde
Transients generated by drop can sometimes be severe enough to cause failure of electronic components. Ceramic
chip capacitors form an essential part of modern day electronics. These are known to undergo flex cracking during
board bending as would result from drop for example. Cracked c-chips would undergo burnout when electric current
passes through it. Partial cracks can also result which may go unnoticed during functional tests and may result in
catastrophic system failure during operation under harsh conditions. It is thus imperative that an efficient method
exists for predicting post-drop failure of c-chips. Towards this goal, a case of capacitor burn-out during post-impact
functional test has been taken up for the current study. With an objective of understanding the system dynamics
and the mechanics of failure, explicit dynamic simulations were performed using Abaqus/Explicit. Simulations could
predict existence of strain peaks exceeding the failure limits considered and existence of post-drop displacement
hinges. The orientation of the c-chip was altered taking hints from the simulation. Further testing did not produce
any system failure in post-impact functional tests. The paper discusses the methodology adopted in the current
study and its limitations from the perspective of predicting failure, and suggests methods for diagnosing small SMD
components effectively to avoid any catastrophic failure that may arise from latent failures that go undetected.
C
Improving Rubber Tread Designs Against Heat Build-Up Under Cyclic Loading Using Strain Energy
Camso
Sergio Arias, Dr. Bahram Sarbandi, Priyantha Sriwardene
Heat generation in rubber is a complex phenomenon that occurs when a rubber component is being cyclically loaded.
The development of this heat build-up comes from the visco-elastic nature of rubber compounds that occurs during
the loading and unloading processes, and it is a difficult mechanism to quantify numerically. A lot of research on
this particular and characteristic behavior of rubber has been done essentially since the invention of rubber. Over the
course of the last decade or so, there have been numerous breakthroughs in the area of heat generation, and finite
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element codes are beginning to provide solutions to study this behavior. However, it is still a very complex parameter
to measure and validate for practical purposes. As a result, an alternate way to devise a method to improve the
designs of treads in our tracks against the development of heat build-up is to study the strain energy. The purpose of
this research is to understand how we can use the strain energy developed under one full load cycle and utilize this
to design a new and better generation of treads that can meet the constant increasing demands for performance in
the world of rubber tracks.
Brand & Keywords: SIMULIA, Design Optimization, Durability & Fatigue
Simulating Blood Flow in a Living Heart Model
Capvidia
A. Aksenov
Being able to visualize blood flow in a living heart helps to understand heart diseases and define strategy for surgical
intervention. The ideal simulation should be performed on a specific patient heart model (individual geometry)
to correctly asses the specific cardiac problem and predict possible treatment. In this paper, two approaches are
presented for simulating blood flow using numerical CFD approach: simulation based on the SIMULIA Living Heart FE
Model and simulation based on dynamic 3D heart model obtained from a 3D MRI/MRT scanner. The CFD simulation
is performed in both cases using FlowVision CFD code. Both approaches provide a better understanding of the blood
flow during a cardiac cycle. The simulation using dynamic heart model from 3D MRI has the advantage to be patient
specific and can be used for diagnoses and definition of treatment strategy for a specific patient. The simulation
based on the Living Heart FE Model is more suitable for function and performance evaluation of medical devices
such as stunts or artificial heart values to understand and predict their influence on blood circulation system. Both
approaches open new possibilities for cardiac related applications. As both methods are in a very early stage of the
development, it is difficult to cover and predict all potential applications areas and benefits at this stage. This paper
is intended to start the dialogue between cardiologists and engineers to challenge the limits of current technology.
Brand & Keywords: SIMULIA, Biomedics, Two-way CFD Coupling, Living Heart Model, Computational Fluid Dynamics,
Fluid-Structure Interaction, Blood Flow
Two-Way Strongly Coupled FSI Simulation using Abaqus & FlowVision
Capvidia
Sinan Soğancı
Capvidia, being established in 1994, is a leading engineering software developer for CFD, MBD/MBE, CAD data
translation/validation and reverse engineering areas. In CFD market, Capvidia has pioneered new technology to
deliver complex and challenging FSI (Fluid-Structure-Interaction) simulations. This has been accomplished using
co-simulation with Dassault Systèmes SIMULIA Abaqus and Capvidia FlowVision. FlowVision is a complete CFD
software package, being developed for more than 20 years and used by engineers worldwide from various sectors.
Due to unique capabilities like automatic mesh generation, FlowVision can easily be integrated with other FE codes.
Integration with SIMULIA Abaqus is achieved through SIMULIA CSE (Co-simulation Engine) and provides capability for
solving the most complex FSI problems. Automatic meshing and capability of dealing with dimensionality problems
created a solution for problems like simulation of hydroplaning, simulation of sealing components, simulation of
screw compressors and other complex multi-physics problems difficult to be addressed by other software on the
market. Above all, Capvidia is pioneering the FSI market for over 10 years and tightly cooperated with Dassault
Systèmes including active participation in research initiatives such as The Living Heart Project. The Co-simulation
approach presented with Abaqus and FlowVision has several outstanding properties, as briefly described below:
Two-Way Strongly Coupled FSI Simulation using Abaqus & FlowVision • Automatic Re-Meshing (Not Limited to Mesh
Deformation) • Coupling; Natural Data Exchange between CFD and FE Meshes (No Intermediate Mesh like MPccI)
• Multi-Physics Manager; (Re)Starting Co-Simulation & Real-Time Results Monitoring • Completely Independent
(Implicit/Explicit) Integration Steps • Data Exchange at User-Defined Number of Time Steps
Brand & Keywords: SIMULIA, CFD, MBD, MBE, CAD, FSI Simulations, CFD Coupling
CATIA|SFE CONCEPT - A Comprehensive Paradigm for Design Modification and Simulation
CATIA
Fast geometry modeling in the earliest phase of virtual development, unlimited parametric variation even of large
structure models and that allows designers to validate the functional performance of a structure before investing in
details. Immediate readiness for simulation – those are the ingredients for a simulation-driven process Now we strive
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to go beyond this. Increased quality of the simulation models, maximum flexibility and high precision of control in
parameter-driven modifications will allow for the next level of automatic shape optimization.
Brand: CATIA
Drive Disruptive Composites Solutions for Clean Energy
CATIA
Discover new composites solutions for sustainable product development and manufacturing.
Brand: CATIA
Industrial Adoption of Additive Manufacturing
CATIA
Remove barriers between modeling, simulation and optimization from concept to detailed organic shapes. Regain
control through generative 3D printer programming, coupled with process simulation and optimization.
Brand: CATIA
Multiphysics & Mechatronics
CATIA
Mechatronics is a multidisciplinary field of engineering that includes a combination of systems engineering,
mechanical engineering and electrical engineering. This content showcases how CATIA 3DEXPERIENCE enables the
user to manages mechatronics related topics while including multiphysics within the equation.
Brand: CATIA
Finite Element Analysis for Understanding Oil and Gas Well Deformation Mechanisms
C-FER Technologies
Jueren Xie, Cam Matthews and Thomas Dessein
Over years, well deformation problems has drawn increasing attention from oil & gas industry. Severe well
deformation may cause well failures due to reduced structural integrity (e.g. parting, collapse and buckling) and
limited well access. Well deformations developed are often related to the stimulation methods where the operation
pressure and temperature may cause structural and formation loads acting on the wellbore.
To develop well remedy and repairing strategies, Finite Element Analysis (FEA) is often used to determine and predict
the magnitude of well deformations over the service history, as well as to understand the deformation mechanisms to
relate to the cause of such deformations. This paper presents several FEA models used to analyze well deformations,
such as casing connection parting, wellbore curvature, tubular collapse and buckling. A couple of field case studies are
also presented to demonstrate the well deformation investigation approaches, which involve FEA, well caliper survey
and the postulate of deformation mechanisms.
Brand & Keywords: SIMULIA
Using FEA to Determine Test Speed for High Speed Shear Test on BGA based on Field Conditions
CISDI Engineering Co., Ltd.
Sheng Li, Chen Mon, Yu Liu and Jiang Chen
Accurate simulation of metal casting press-forming process needs to consider mutual coupling effects in a number
of different fields of physics subsystem. Hydraulic systems, control systems and mechanical systems are the most
important subsystems among them. It is difficult to create various subsystems in detail in single modeling tools, so
co-simulation technology is used to take advantage of different tools to achieve the entire physical process of systemlevel simulation. The paper researched the co-simulation in the Abaqus software and the Matlab software based on
FMI technology. It considered the coupling effect between different systems fully simulated and the metal casting
press-forming process. The simulation result showed that co-simulation based on FMI can be well suited for multidisciplinary co-simulation in complex mechanical model as it played a well-guiding role in the engineering design.
The co-simulation would take more than traditional simulation computation time, but by using this technology it
can be achieved to research the integrated features of the system, greatly reduce experiments costs and prototype
trial risks.
Brand & Keywords: SIMULIA, Multiphysics & Co-simulation
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Academic / Small Company Collaborations for Rare and Neglected Diseases
Collaborations in Chemistry
Sean Ekins
While there is huge incentive to develop treatments for millions of patients with neglected diseases or those with
any one of the over 7000 rare diseases that could revolutionize their life and family circumstances, the low financial
return on investment has always prevented major pharmas from addressing this need. I will describe several examples
from my own experiences of collaborations with academic labs where I have used Discovery Studio, leading to new
leads for rare and neglected diseases such as Chagas Disease (http://www.ncbi.nlm.nih.gov/pubmed/26114876),
Ebola and tuberculosis (http://www.ncbi.nlm.nih.gov/pubmed/23521795).
Brand: BIOVIA
A Model for Self-Pierce Rivet Process of a Boron Steel
Martha P. Guerrero-Mata, Stephen Van Hall, Kip Findley
Self-pierce riveting (SPR) is a cold joining technique used in the automotive industry in instances where resistance
spot welding is not readily applicable, such as mixed material joints. Improving the mechanical properties of the
rivet will enable greater versatility of standard rivet and die combinations as sheet material combinations increase in
complexity. A 3D SPR flaring model was developed for a 10B37 steel to study the effect of different die velocities,
friction coefficients, mesh densities and material hardness on rivet deformation. The material behavior was input via
tensile testing data obtained with wire samples according to the ASTM E8 standard, while the die was assumed in all
cases to be analytical rigid. The results were validated with data from laboratory trials of rivet flaring. The ultimate
goal of the model is to develop a method to predict cracking at the tail of the rivet, buckling of the rivet legs, and
other responses of the rivet in order to correlate rivet performance with alloy properties.
Brand & Keywords: SIMULIA, Manufacturing, Material Modeling
Simulation of Glass Forming of Automotive Windshields
F. A. Celestino Guajardo, J. A. González Rodríguez, F. E. Palomar Pérez, and Oscar Zapata-Hernández
In recent years, the automotive industry is looking for more complicated aerodynamic shapes in their designs. In
the windshield manufacturing industry, there is a need for new tools to predict the final shape of the glass obtained
from the bending process. 2D and 3D finite element simulations were developed using Abaqus/Standard to predict
the final shape of the glass during high temperature forming process. Uncoupled thermal and mechanical analysis
were created, a viscoelastic material was considered for the glass and all properties were considered as function of
temperature. Final shape results were compared with those obtained in real glass bending furnace.
Predictions of Fluid/Structural Interactions using Abaqus Cosimulation and Advanced CFD Solvers
Combustion Research and Flow Technology, Inc. (CRAFT Tech)
Peter Cavallo
This work presents a coupled fluid-structural interaction (FSI) capability wherein pressure and thermal loads
predicted by the CRUNCH CFD and CRAFT CFD Navier-Stokes solvers are exchanged with Abaqus/Standard using
the Co-Simulation Engine (CSE). Multiple domains may be simulated concurrently on separate groups of processors.
In applications to date, a single processor handles the data exchange with the Abaqus CSE, while many parallel
processors solve one or more fluid domains. Data exchange is handled through SIMULIA’s Co-Simulation Engine API.
The boundary surface common to the fluid and solid domains is defined, along with the specific scalar and/or vector
fields to be exchanged. Point forces, heat fluxes, displacements, and temperatures are passed between the codes
and simulations may be either one-way or two-way coupled. For FSI applications where the predicted deflections
are small, deformations are ignored by the fluid domain and the fluid boundaries do not change. In cases where
the predicted deflections are substantial, a two-way coupling has been established and demonstrated. The fluid
boundary moves, with the predicted deformations, and a mesh movement solver is employed to redistribute the
nodes in the fluid domain.
Applications of the FSI simulation capability to date include vibrational response of weapons bay doors to cavity
acoustic loads, design guidance for FSI experiments, jet blast deflector heating and cooling, plastic deformation of a
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ruptured canister, and reentry capsule heating. The final manuscript will emphasize the relevant flow physics as well
as aspects of the CSE implementation. All computations are performed on DoD DSRC platforms.
Brand & Keywords: SIMULIA, Design Optimization, Multiphysics & Co-simulation
Simplifying Composites Process Modeling in Abaqus with COMPRO
Convergent Manufacturing Technologies, Inc
Anthony Floyd, David van Ee, Corey Lynam, Goran Fernlund, Anoush Poursartip
Simulation of the manufacturing of composite materials, composite process modeling, has been gaining acceptance
since the early 1990s. Starting from simple 1D and 2D representations of composite parts, process modeling of
complex, fully configured 3D composite parts is now performed on a regular basis. Such simulations, however, require
a high level of expertise. These analysts must be experts not only in the manufacture of composite materials, but
they must also be experts in 3D finite element analysis. Convergent Manufacturing Technologies has been enabling
composite process modeling in Abaqus for over 15 years with its COMPRO libraries. In the past, using COMPRO with
Abaqus required analysts to create their mesh in a certain manner, and then manually edit the Abaqus input file
to include the options required to interface with COMPRO. This was a tedious process and prone to error. Recently
Convergent has released an Abaqus CAE plug-in that walks the analyst through the workflow of creating a composites
process model simulation and automates all the tasks required to set up the analysis with COMPRO. This CAE plugin
has lowered the level of expertise required to perform these types of analyses, enabling broader adoption among
OEMs. This paper will demonstrate how the use of the COMPRO Plugin for Abaqus/CAE simplifies composites
process modeling in Abaqus.
Brand & Keywords: SIMULIA, Composites, Manufacturing, Material Modeling, Multiphysics & Co-simulation
Using an Intermediate Validation Step to Increase CAE Confidence
Cornell University
Christopher Wolfrom, Megan Lobdell, Hubert Lobo
Simulating a product before creating a prototype manages performance and production risks, saving time and
money. These simulations contain assumptions and uncertainties that a designer must evaluate to obtain a measure
of accuracy. The assumptions of the product design can be differentiated from the ones for the solver and material
model through the use of a mid-stage validation. This is an open loop validation that uses a standard experiment
to compare results from both a simulation and the physical experiment. From the validation, confidence in the
material model and solver is gained. This study demonstrates the stages from material testing to the benchmark
validation. Using a polypropylene, the material properties are tested to characterize for an *ELASTIC *PLASTIC model
in Abaqus. The benchmark experiment of a quasi-static three point bending experiment of a parallel ribbed plate is
then performed and simulated, demonstrating the complex stress state. A comparison of the strain fields on the face
of the ribs obtained by digital image correlation (DIC) and simulation is used to quantify the simulation's fidelity to
the physical experiment.
FSI Simulation on a Reed Valve using SC/Tetra and Abaqus
Cradle North America Inc
Yuya Ando
SC/Tetra, developed by Software Cradle Co., Ltd., is a standalone general purpose CFD software based on unstructured
Finite Volume Method solver. It can be coupled with Abaqus through the Co-Simulation Engine (CSE) to solve Fluid
Structure Interaction (FSI) problems. SC/Tetra is capable of handling moving bodies using the Arbitrary LagrangianEulerian (ALE) approach. It can also handle complicated motions with its Overset Mesh capability. Combining these
capabilities makes it possible to handle motions in which one object touches another object or wall where fluid
volume becomes zero. These capabilities enable SC/Tetra to handle challenging FSI simulations including large
deformation and contacting motions. This presentation showcases several FSI simulation cases including a validation
followed by a reed valve simulation. In this simulation, a reed valve is pushed open due to the pressure buildup caused
by the motion of a piston. The reed hits a stopper and it comes back to the close position. This challenging motion
(including the fluid volume becoming zero) is successfully simulated using ALE and Overset Mesh.
Brand & Keywords: SIMULIA, CFD, Finite Volume Method, FSI Simulations
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Cray
Gregory A. Clifford
Petascale computing environments are now widespread in the CAE simulation world. Cray is the leader in delivering
petascale environments for production HPC computing. This presentation will discuss CAE simulations that demand
a petaflop of compute power, and the challenges in delivering, building and efficiently using a petaflop simulation
environment.
Keywords: HPC, petascale
Harmonizing High-Tech Product Performance and Safety by Electromagnetic and Structural Co-Design
CST
David Johns
Electromagnetic fields are used intentionally for communication, sensing, wireless charging, radar detection,
medical imaging and microwave heating. While bringing huge benefits in the quality of life, electromagnetic
fields are unintentionally absorbed by the human body, which has caused widespread concern about the potential
detrimental effects on human health. High tech companies are increasingly recognizing the importance of balancing
electromagnetic performance and safety early in design and electromagnetic field simulation is an essential part
of this process. The huge pressures faced by companies to bring new products to market as fast as possible is also
causing a shift towards multi-disciplinary design, where electromagnetic and structural design goals are optimized
together, rather than in an isolated, dis-jointed fashion. This presentation will discuss the challenges designers face
in balancing electromagnetic performance and safety, and highlight recent initiatives taken by CST and Dassault
Systemes to deliver significant improvements in electromagnetic and structural co-design.
Keywords: Electromagnetics
D
Optimization of Heavy-Duty Cylinder Head Gasket Manufacturing Press Using Isight
Dana Holding Corporation
Jason Tyrus, Rohit Ramkumar, Kevin Shaver, Kevin Harris
The production of heavy-duty cylinder head gaskets requires processing large sheet materials in a relatively short
amount of time. In many cases, there is a need to quickly heat the materials to a consistent and uniform temperature.
This high-volume process contrasts with a typical heated-press molding operation where the time required for each
press cycle is much longer, on the scale of multiple minutes rather than seconds. Raw material weight of several
kilograms and a required temperature increase of more than one-hundred degrees Celsius cause the power supply
and control requirements to be very complex. Modification of platen designs and development of a new process
require unique simulation techniques to optimize the process and equipment.
In this paper, Isight and Abaqus are used to simulate and improve the multiple-stage manufacturing process of
heavy-duty cylinder head gaskets. An iterative procedure using Abaqus with programming is first used to identify the
required power input to achieve steady-state press operation. An Isight process flow is then developed to simulate the
manufacturing process of coils of material being fed into continuous process equipment and automatically bonded in
a heated platen press simulated by Abaqus. Isight parameter studies are then applied to examine the heater power
required to maintain a consistent temperature on the platens to minimize both heat loss and press stabilization
time. It is demonstrated how the combination of Abaqus and Isight is used to improve both the heavy-duty gasket
manufacturing process performance and the resulting product quality.
Brand & Keywords: SIMULIA, Composites, Design Optimization, Manufacturing, Optimization
Metal Fatigue: Failure and Success
Dassault Systemes UK Limited
John Draper
Metal fatigue failures were first reported in the 1830's, and by 1860's many of the basic principles of fatigue had been
established. The following 100 years were characterized by promising developments that were ignored or forgotten;
and by a tendency to focus on topics which are now seen to be largely irrelevant. As a result, design errors common
in the 1850's were still common in the 1950's. Fatigue life calculations were characterized by error and uncertainty.
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Since the 1950's the accuracy of fatigue life predictions has been transformed, so that we can now predict allowable
stresses to the same accuracy as those stresses can be calculated.
The accuracy of modern fatigue design methods is now focusing attention on fatigue testing and the test methods
used to validate designs.
Brand and Keywords: SIMULIA, fatigue
Rapid and Definitive Simulation of Next Generation Electronics
DfR Solutions
Craig Hillman
The rapid proliferation of electronics into all industry segments (mechatronics) is forcing Abaqus users to incorporate
electronic architecture into their modeling and simulation activities. Sherlock is the only tool (CAE app) on the market
that allows Abaqus users to seamlessly translate electronic design information (EDA) into accurate three-dimensional
(3D) models with the necessary intelligence (material properties, contact interactions, boundary conditions) and
detail (leads, solder balls, heatsinks, traces, vias, potting, coating, wire bonds) to perform comprehensive finite
element analysis. Sherlock also offers comprehensive post-processing support, with the ability to provide time-tofailure prediction under thermal shock, thermal cycling, power cycling, mechanical shock, drop, harmonic vibration,
and random vibration. All damage models have been validated by commercial organizations in multiple markets and
academic institutions. This presentation will demonstrate the Sherlock tool and provide insight into the ease of use
that has made Sherlock the dominant EDA-to-FEA parser on the market today. Several case studies will be used to
present the how’s and why’s on incorporation of Sherlock within organizations and along the entire supply chain
and the repeatable demonstration of significant cost avoidance and return on investment. A specific focus will be
on how Sherlock is driving FEA 2.0; by lowering the expertise and time required to build up finite element models
of electronics and providing more definitive results, Sherlock has greatly increased acceptance of simulation and
modeling and expanded the use of Abaqus through more users and a greater number of tokens.
Brand & Keywords: SIMULIA, Electronics, Mechatronics, EDA, Post-Processing, Electronic Architecture
Automated Translation of Non-Symmetric BGA Design into Copper-Featured Three-Dimensional
Abaqus Models
DfR Solutions
Gilad Sharon, Greg Caswell, Nathan Blattau
Package technology is constantly improving in order to keep up with the advances in silicon technology. Multi
layered packages exhibit several failure modes that can be predicted using modern software tools. This paper
provides a methodology for creating a high-fidelity model of the interposer with all the conductor geometries in
Abaqus/CAE. The two failure modes that are explored with this model are package warpage prediction due to actual
copper imbalance and filled microvia delamination. Each layer can meshed based on the actual geometry in the
layout design. Package warpage is caused by copper imbalance between the two sides of the interposer. The CTE
mismatch between the two sides can bend the package to such a degree that it becomes impossible to assemble the
solder interconnects. The filled microvias have copper structures that can delaminate from the copper traces in the
conductor layers. The high-fidelity model provides the predictive tool to allow designers to adjust the layout before
any manufacturing has taken place.
Brand & Keywords: SIMULIA, Package warpage, Trace modeling, Via fatigue failure, Via delamination, Substrate
modeling
Vibrations Reduction and Control System Improvement using Abaqus/Dymola Co-Simulation
Digital Product Simulation Inc.
Christophe Baroux, Eashan Liyana, Moncef Hammadi
A gantry robot consists of a manipulator mounted onto an overhead system that allows movement across a horizontal
plane. Gantry robot systems provide the advantage of large work areas and better positioning accuracy. Unfortunately,
those systems are often susceptible to vibrations that are impacting the position control system and imply system
instabilities. To reduce vibration and improve positioning accuracy, a solution is to develop a controller which achieves
a smoother motion. In this case, co-simulation between plant, i.e. finite element models, and logical control systems
model is needed to introduce analytical logic within multi-physics systems simulation. The capability of coupling
Abaqus and Dymola can be used to leverage logical-physical modeling versatility. CATIA V6 platform is actually
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relying upon this philosophy enabling an innovative and iterative approach of finite elements simulation through
an integration of control systems models to physical and multi-physical models. A typical application workflow can
be detailed as followed: measured data (sensors) are issued from Abaqus simulation then passed to Dymola which
computes loads and/or displacements (solicitations) needed to attain Abaqus models steady state. This paper intends
to present how we implemented this co-simulation process and results we obtained this way.
The Future Shape of your Discovery Infrastructure
Discngine
Eric Le Roux
Systems integration can deliver major benefits for a research organization especially in early stages of
discovery. In most cases the amount of data in hand does not allow reliable manual processing of data records
anymore. Fortunately, huge advances have been made recently in cross-application compatibility. The
evolution of application programming interfaces has doubtless improved the success of integrated architectures.
Here we present how various software components can be tightly integrated to provide efficient biological and
chemical data management and analysis platforms. Based on Restful APIs and client-side mashup applications,
deployed in the cloud, on-premise or on hybrid environments, these new architectures can virtually address any
scientific informatics challenge.
Brand: BIOVIA
Modeling of Hytrel® Thermoplastic Elastomer Material for High-Strain Cyclic Loading
DuPont de Nemours
Pieter Volgers
The Jounce bumper or spring assist is an important and active part of a vehicle’s shock-absorber system, which serves
not only to protect the coil spring and damper but also improves vehicle ride and handling and influences the level of
comfort by absorbing small movements, such as irregular road surfaces. Currently made from natural rubber or PU
foam, DuPont has developed a new innovative solution using blow-molded Hytrel® thermoplastic elastomer, using
the same manufacturing process as for CVJ boots. To support the (patented) design of the shape needed to obtain
the required response curve, a simulation procedure has been developed to predict the load-displacement curve.
The subsequent compression response after initial loading, which is different from the initial response curve due
to the material behavior typical of elastomers, is important for the design. To that aim, a material model for large
displacements (part compression of 80%) and large elastic deformations (up to 100% strain), including plasticity and
loss of stiffness is required. Abaqus allows the combination of hyper-elastic models including Mullins™ effect and
permanent set, which provides the fundamental behavior of the material. However, Hytrel® thermoplastic elastomer
behavior is somewhat different than most elastomers, with a particularly high permanent set. This paper describes
the challenges, limitations and success encountered when applying this material model to the behavior of Hytrel® in
a Jounce bumper application.
A Simulation Approach to Combine Multi-Scale Model Features with Failure at Composites Level for
Short Fiber Reinforced Polymer
DuPont de Nemours
Zhenyu Zhang, Alan Wedgewood, Helga Kuhlmann
In order to facilitate the application of thermoplastic composites in the automotive industry for weight saving and fuel
economy, an advanced simulation approach is applied to evaluate the performance of an injection molded short fiber
reinforced composites beam. A fully coupled Digimat with Abaqus homogenization method for multi-scale modeling
is explored and compared to an uncoupled Digimatï¿½ with Abaqus approach which uses an Abaqus user subroutine.
A failure model is calibrated to predict short fiber reinforced composites failure. The results obtained with this model
are presented, demonstrating accurate prediction results. The developed model with homogenization features is able
to distinguish the behavior of beam with different injection molded process and is validated by comparing predicted
results with experimental data of beam flexure test under different boundary conditions.
Brand & Keywords: SIMULIA, Composites, Contact & Impact Mechanics, Manufacturing, Material Modeling
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Prediction of Nonlinear Viscoelastic Recovery of Thermoplastic Polymers using Abaqus Parallel
Rheological Framework (PRF) Model
DuPont Performance Materials
Mohammed Karim, Zhenyu Zhang, Ye Zhu
Thermoplastic polymers show significant nonlinear viscoelastic behavior due to which, after removing the applied
load, these materials have some viscoelastic recovery over time before permanent deformation or set occurs. In this
work, Abaqus PRF model is used to predict this time dependent viscoelastic recovery. Unlike linear viscoelastic model
in Abaqus, PRF model can predict the typical nonlinear viscoelastic behavior of thermoplastic materials. Two types
of testing, stress relaxation and cyclic loading at three different strain levels, are used to calibrate the coefficients of
PRF model. SIMULIA’s optimization tool, Isight, is used to optimize these coefficients.
Brand & Keywords: SIMULIA, Design Optimization, Material Modeling, Optimization Methodology of thermalstructural analysis in Abaqus software based on plastic fuse-box
Advances in Density Functional Calculations: Current and Future Technologies
Durham University
Stewart Clark
Abstract: Not available at time of printing
E
Crack Damage Tolerance Assessment and Leak-before-break Flow Simulation
Eaton Corporation
Jian Ye
In aircraft bleed air system ducts, cracks may exist or initiate from manufacturing defects in areas of high stress
concentration which are usually in welds. The initial minor cracks may grow into two possible failures: either the
crack grows steadily through the wall to form a stable through-crack (leak-before-break), or it becomes unstable
before or after it has reached the other surface of the duct wall and spreads rapidly over a large portion of the duct
(break-before-leak), depending on the pressurized hot-air load and the toughness of material. Abaqus/CFD is used to
calculate the leak-before-break crack leakage rate in the case of a stable through-crack, utilizing the crack dimensions
obtained from crack propagation simulation. The leakage rate result compares well with an existing explicit equation
that describes the idealized zig-zag crack flow channel.
Brand & Keywords: SIMULIA, Manufacturing
Infrastructure is Data Too: Integrating Support Processes to Improve Workflows and Data Quality
Eisai
JenniferHeymont
Pipeline Pilot is a powerful tool for integration of disparate systems. In this talk, case studies will be presented that
show how developing custom software in Pipeline Pilot can increase efficiency by providing applications customized
to the workflow of groups that execute support processes. The ability to tightly integrate these custom applications
with multiple data repositories improves data quality by ensuring that information stays in sync as it moves between
systems.
Brand: BIOVIA
Endurica
William Mars
Elastomer component developers face two typical risks in durability programs, the risk of 1) premature failure, and 2)
of costly overdesign. Come learn how Endurica solutions offer simple to use, realistic approaches for getting durability
right. We will review our elastomer characterization methods, material models and damage accrual methods in the
context of applications including an automotive cradle mount, a tire, and an aerospace rotorbearing. Endurica LLC
provides solutions for developers seeking durability in elastomer products. Our solutions include: e-safe/Rubber, our
plug-in for the fe-safe fatigue analysis environment; Endurica CL, our stand-alone fatigue analysis solution; Fatigue
Property Mapping, our materials characterization service.
Brand & Keywords: SIMULIA, Rubber, Durability, Elastomer, fe-safe/Rubber, fe-safe, fatigue
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Implementation of an Elasto-viscoplastic Constititive Law in Abaqus/Standard for an Improved
Characterization of Rock Materials
Eni S.p.A.
Giorgio Volonté
Subsidence modeling is an important issue in the oil and gas industry, for the environmental and operational
implications associated to this phenomenon. Abaqus/Standard has been used for many years in Eni as the main
numerical simulator for studying the geomechanical behavior of reservoirs. The large amount of monitoring data and
the advanced analysis of laboratory experiments that are now available have shown that, in some cases, an improved
mechanical characterization can be tailored to better capture the complex behavior of the reservoir rock under the
effect of underground fluid withdrawal. In this work we first present an implementation in Abaqus/Standard of an
elasto-viscoplastic model namely the Vermeer and Neher model as user defined material by means of the UMAT
subroutine. Finally, we show a preliminary application to a synthetic, nonetheless realistic, reservoir model that has
been performed to assess the capabilities of the elasto-viscoplastic model in the simulation of subsidence evolution.
Brand: SIMULIA
ENOVIA for Science
ENOVIA
Getting a product right the first time is necessary to thrive in a crowded marketplace where over 80 percent of
new product introductions fail within their first year. Learn how ENOVIA helps to accelerate the science behind
product innovation, enabling chemists and formulators to focus on capturing all product development and regulatory
information in real-time. With ENOVIA, scientists have secure access to all current and historical product development
and formulation data, exactly when they need it, to best leverage intellectual property during the earliest research
phases and be certain that their efforts are properly executed into the development phases.
Brand: ENOVIA
BIOSERENITY and EXALEAD Partner for Re-inventing Life Experience
EXALEAD
Bioserenity has created the "Neuronaute," a smart healthcare solution for the diagnosis and monitoring of epilepsy.
You'll discover the apps and the role of EXALEAD technology.
Brand: EXALEAD
Simulation and Analytics for Optimized Test Validation
EXALEAD
The use of SIMULIA to perform series of different test. The use of EXALEAD to monitor and analyze physical and
simulation tests based on SIMULIA inputs.
Brand: EXALEAD
Mechanics of Hydraulic Fracturing in Ultra-low Permeability Formations:
the Role of Cavitation and Sorption
ExxonMobil
Sandeep Kumar, Matias Zielonka, Kevin Searles, Ganesh Dasari
Hydraulic fracturing (HF) comprises nucleation and growth of fractures in rock formations via flow-induced
pressurization. HF is routinely used as a means of stimulating low permeability rock formations to enhance the oil/
gas recovery. The physical processes in the fracture process zone (FPZ) during HF are usually very complex because
of the coupling between fracturing-fluid flow, rock deformation and diffusion of host fluid. Identifying all the critical
pieces of physics is the key to developing a reliable full-physics modeling and simulation capability. Such a capability
will not only enhance our understanding of HF but will also aid greatly towards the development of an effective
stimulation strategy.
The role of cavitation and sorption is typically ignored in hydraulic fracturing simulations because the rock formations
are believed to remain always fully saturated during HF. However, by combining the multi-physics Finite Element
Analysis (FEA) with the analysis of Polyaxial Test Cell (PTC) experiments, we show that ignoring cavitation and
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sorption leads to spurious outcomes in the FEA simulations of fluid-driven fractures in low permeability formations.
The FEA simulations, in the absence of cavitation and sorption, predict an unrealistically large suction (negative
pressure) ahead of the crack-tip which grows without bound upon refinement of the FEA mesh. Because of such a
large suction at the crack-tip, the break-down pressure obtained from the simulations is anomalously large and lacks
objectivity (i.e., progressively increases upon a continued refinement of the FEA mesh).
Mechanistic insights gained form FEA simulations suggest that the negative pressure ahead of the crack-tip causes
cavitation, resulting in the creation of a partially-saturated region around the crack-tip. This means that irrespective
of the initial saturation of the rock, inclusion of cavitation and sorption phenomena in the modeling is necessary for
adequately resolving the physical processes in the FPZ. The revised FEA simulations of hydraulic fracturing show that
the inclusion of cavitation and sorption in the simulations eliminates the unrealistically large suction at the crack-tip,
regularizes the break-down pressure and removes the noted lack of objectivity.
Brand & Keywords: SIMULIA, Geomechanics (Oil & Gas)
F
Vehicle Durability Simulation Using Contact Nonlinearity and Discrete Spot Weld Connectors
FCA Engineering India Pvt Ltd
Roshan Mahadule, Kameshwar Rao Appana
Vehicle durability is one of the important areas in overall vehicle design space. This is a key attribute which builds
perception of a vehicle in customer’s mind. Now days, Computer Aided Engineering (CAE) is used extensively in the
automotive industry to predict the durability performance of a vehicle. Early prediction of real durability issue and
evaluation of different design proposals to improve the vehicle durability performance saves great amount of time
and cost.
Conventional process for predicting vehicle durability employs linear inertia relief analysis to derive stress response of
a structure. Strain based fatigue life analysis is carried out for the stress response which is scaled by virtual proving
ground loads obtained from multi body dynamics simulation software. Fatigue life predicted with this method does
correlate the test results but many a times more conservative. This is mainly contributed by local force transfer
through spot weld connectors represented with rigid elements.
This paper describes an approach for vehicle durability assessment considering contact nonlinearity in full vehicle
model and non-rigid spot weld connectors. This approach is chiefly modified over conventional process to simulate
load transfer more precisely through surface interaction; this eliminates the pseudo low life regions and thus
minimizes the overall design development time, cost and weight. Vehicle durability simulation with new approach
predicts fatigue life with more accuracy and reliability.
Brand & Keywords: SIMULIA, Contact & Impact Mechanics, Design Optimization, Durability & Fatigue
Prediction of Aluminum Wheel Distortion under Pothole Impact
FCA Engineering India Pvt Ltd
Mohammed Billal Kamal, Gurumoorthy Sankara Subramanian
In the vehicle design, the interaction between road and vehicle is the main subject in order to meet the durability , NVH
& handling performance. Potholes in the road will cause damage to the wheel, suspension and chassis components.
Pothole size and vehicle speed are the main factors for the damage. The larger pothole will cause severe damage or
alignment issues. Based on the impact severity , damage will happen in the wheel rim and there will be a reduction in
the air pressure in the tire. In long-term, it will damage the suspension or steering components and it can also leads
to premature tire wear and poor handling of the vehicle. Prediction of pothole effect in the vehicle will be useful for
redesigning the components at the design stage itself to avoid the damage. To predict the pothole event , several
methods and virtual tools are available. The nonlinear dynamic behavior of the vehicle during pothole impact will be
captured accurately using Abaqus FE solver. The tire model plays a vital role by absorbing energy during the impact.
The effect of vehicle speed at pothole impact is also studied. The CAE model of tire is validated with some physical
test results and it is used in the vehicle pothole impact simulation. This paper explains more about the modeling of
tire, suspension and vehicle, simulation methodology and the correlation of CAE results against the test values. This
pothole impact simulation method gives an indication to make the design changes also.
Brand & Keywords: SIMULIA, Contact & Impact Mechanics, Dynamics & Shock, Multi-body Dynamics and Systems
Engineering, Multiphysics & Co-simulation, Tires
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G
SPDM at GE Design System Collaboration
GE Power
Andrew Kneeland
Implementing a new system in any big company is a challenge, for SPDM that is a process that requires planning
and working with change. At GE we've learned several of these lessons. From lessons learned on how-to implement
in a difficult environment, we'll give some insights from our process. GE is looking at a future in the Digital Industrial
revolution and we see that Simulation Process and Data Management are important to that realization.
Brand: SIMULIA
Cylinder Head Valve Guide Wear Analysis of Internal Combustion Engine
General Motors
Cherng-Chi Chang, Michael Nienhuis, Bo Yang, Saurabh Bahuguna
An analytical process was developed to study the root cause of the exhaust valve guide wear in the gasoline engine
from a high mileage accumulation vehicle test. A thermo-structural model was created to determine maximum cam
bore misalignment based on engine thermal structural analysis. Then a valve train dynamic model was developed as
a submodel based on cylinder head thermal deformation, the cam axis was adjusted based on the maximum cam bore
misalignment in this dynamic model and valve tip side load from cam and rocker arm was calculated. Normal and
reversed spin of cam was performed to study its effect on rocker motion between left and right bank cylinder heads.
Valve and guide contact was monitored during the dynamic analysis and the resulting valve and guide deformation
from this dynamic analysis was input to a tribology model to calculate the guide wear rate. Abaqus/Standard was
used in thermo-structural analysis, and Abaqus/Explicit was used for valve train dynamic analysis. Based on this
study, the root cause of the guide wear was verified.
The Gilead Structure Portal – An Integrated Solution to Organize and Disseminate
3D Structural Project Data
Gilead Sciences
Uli Schmitz
Since structures are loaded into a viewer on demand, there is no size limit to the overall structure collection. 3D visualization
supports both Discovery Studio (BIOVIA) and Pymol (Schrödinger) and the web GUI is driven by Pipeline Pilot.
Browsing and selecting molecules is aided by 2D-structure images. Several search options are available and
annotations are stored. We will discuss lessons learned.
Brand: BIOVIA
Integrating Lab Systems to Gain Efficiency at Analytical Operations and QC Labs
Gilead Sciences
Sachin Sontakke
Integrating LIMS, LES, IM, ELN, Empower systems helps gaining superior compliance but also improving efficiency.
Without integration, the systems work in silo. They can cause efficiencies in the existing processes, duplicate data
entry and compliance risks. System integrations need to be purpose based. Understanding actual use cases by
working with scientist is the way to go to develop system integrations. The presentation will cover a case study
of implementing systems in Silo, user feedback and how the purpose based integrations can be planned to gain
compliance and efficiency in R&D and QC labs.
Brand: BIOVIA
Materials Gateway 4.0 for Abaqus/CAE – Preparation, management and use of
materials data for simulation
Granta Design
Peter Cherns
Materials information management is important throughout the simulation lifecycle, and it plays a crucial role in
successful, fast, accurate CAE. This presentation focuses on the software tools provided by Granta Design to enhance
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the capture, preparation, management and use of materials data in order to support these activities. Granta Design
are based in Cambridge, UK and have been focused on the field of Materials Information Technology for more than
20 years. The latest version of the industry leading GRANTA MI software, including direct integration with Abaqus/
CAE, will be demonstrated. GRANTA MI:Materials Gateway for Abaqus/CAE enables users to directly access and use
validated CAE material models from their materials database without leaving the CAE environment. Import of this
data is carried out while retaining full traceability to the source.
Brand & Keywords: SIMULIA, Materials, CAE
Strength Analysis of Thermoplastic Containers Using Numerical Simulation
Grupo Smarttech
C. Pagliosa
This study presents a numerical simulation strategy developed for strength analysis of thermoplastic containers. The
method is based on the finite element analysis of both, the blow-molding process and the in-service loadings. The
blow-molding analysis is performed to get the molded shape thickness distribution and axial and circumferential
stretch fields. The preform thickness and the coefficient of friction between the preform and the mold cavity are
treated as parameters. They are varied until a good estimate of the thickness distribution is achieved. The thickness
distribution obtained from the blow-molding analysis is then used in the subsequent loading analyses on the finished
product. An anisotropic material is defined based on the actual material properties at the loading temperatures. The
loading analyses are performed to get the stress fields on the finished product subjected to drop test and vacuum load.
Brand: SIMULIA
The BioRegistration Journey at GSK
GSK
Leah O'Brien
Biopharmaceuticals are now an established part of GSK’s R&D pipeline. Critically, Biopharmaceutical assets have
grown from <3% of GSK’s pipeline in 2008 to nearly 40% in 2015. GSK registration is required for data integration
in many of our systems. While small molecule registration capabilities are well established, the industry has realized
that BioRegistration capabilities have become a critical and growing gap. Being able to uniquely identify these
entities and ensuring their traceability during the candidate selection process poses significant challenges. To deliver
this foundational capability to R&D, GSK selected the BIOVIA BioReg product. An implementation project delivered
BioReg to production, integrated it with three existing inventory solutions, cleaned and migrated over 90,000 lots of
historical data and implementing improved ways of working.
Brand: BIOVIA
H
Crack Analysis in Molybdenum Glass Melting Electrode
H.C.Starck
Abhishek Bhattacharyya, Paul Aimone
Molybdenum high melting point, high electrical conductivity, resistance to sagging at glass bath temperatures, and
resistance to attack by most glasses make it an ideal material for glass melting electrodes. However, dissolution of
Mo electrodes still occurs during glass melting and processing. A single piece molybdenum electrode was found to
have cracked at the end of its service life. Post-mortem analyses also showed melting of the molybdenum material
in the crack region. Abaqus finite element simulations were used to evaluate the crack formation. This study involved
sequential thermal-mechanical modeling to predict the crack size and location. The FEA model was qualitatively
successful in predicting the crack morphology based on very limited operational knowledge.
Brand & Keywords: SIMULIA, Design Optimization
A Simplified 3D Numerical Scheme for Accurate Calculation of Critical Value of Pressure Draw-down of
Weak Sand Formation
Halliburton
Xinpu Shen, Guoyang Shen, William Standifird
The critical value of pressure drawdown (CVPDD) is a key parameter for controlling production rate for most of the
wells in weak sand formations and depends on the form of completion, particularly for HPHT. This paper presents a
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simplified 3D calculation of CVPDD on the basis of maximum plastic strain for a given well in offshore Gulf of Mexico.
A fully-coupled, poro-elastoplastic model was adopted to simulate the porous flow that occurred simultaneously
with matrix inelastic deformation. A submodeling technique was adopted to address the discrepancy between the
scale of the oil field and that of the wellbore section. Dual-stress-concentration around the perforation tunnel was
simulated. Resultant values of plastic strain caused by pressure drawdown were visualized and analyzed along with
the distribution. Values of CVPDD were suggested on the basis of a numerical solution of plastic strain. The method
proved to accurately predict CVPDD. Visualization of 3-D numerical results not only illustrates the values of plastic
strain, but also shows the size of the plastic region induced by pressure drawdown, which is useful in selecting the
CVPDD. Results indicate that the 3-D finite element method is a highly efficient tool for predicting CVPDD.
Evaluation of Effects of Trapped Fluid on Downhole Tool Deformation
Halliburton
Allan Zhong
During finite element analysis of downhole tools, the fluid load, such as hydrostatic pressure, reservoir pressure,
or applied pressure, is simply represented by uniform static pressure/stress. This approximation of fluid load has
been shown to be effective and accurate enough for many applications and is widely accepted. However, this fluid
load representation can be problematic in terms of trapped fluid because the pressure from trapped fluid, which is
typically confined between seals, changes with deformation or deflection caused by applied pressure or axial tensile
or compressive loads on surrounding structures. This paper uses a finite element algorithm to model trapped fluid,
thereby accounting for the coupling between the deformation of the surrounding structure and pressure from the
trapped fluid acting on the structure. The algorithm is applied to evaluate how the pressure of trapped fluid between
sealing points in the annulus of a tubing string change with surrounding pressure: 1) under a very high production
flow, the tubing pressure drops significantly, it is important to know whether the trapped fluid will cause tubing or a
tool component to collapse or not; 2) in reverse, during setting process, it important to know the amount of pressure
increase from the fluid in the sealed-off section. Comparisons of predictions from models with and without fluid
highlight the need to account for fluid structure interaction in evaluating the effect of trapped fluids.
Billions and Billions of Molecules: Exploring Chemical Space for Functional Molecular Materials
Harvard University
Alan Aspuru-Guzik
Many of the challenges of the twenty-first century are related to molecular processes such as the generation and
storage of clean energy, water purification and desalination. These transformations require a next generation of
more efficient, chemically stable, and non-toxic materials. Chemical space, the space of all possible synthesizable
molecules, is practically infinite and promises to have relevant candidate functional molecules to address these
challenges. One of the main goals of my research group is to develop understanding and tools for the exploration
chemical space in order to accelerate the discovery of organic materials.
Our design cycle is sped up by the constant interaction of theoreticians and experimentalists, the use of highthroughput computational techniques, machine learning, and the development of specialized big data tools. We have
had recent successes in theoretically predicting and experimentally confirming in record times top performers in the
areas of organic electronics, organic flow batteries and organic light-emitting diodes. In this talk, I will discuss what
I consider are the key factors related with a successful high-performance screening approach as illustrated by these
three different applications. I will end by discussing the future prospects and challenges associated with developing
appropriate metrics for the cartography of chemical space.
Brand: BIOVIA
Integration for installation Upper Body of the European Semi-bonnet Truck
Hyundai Motor Company
Ji Yong Song, Wook Jin Na
The semi-bonnet truck consists of chassis cab composed of cabin (CAB) and chassis frame and upper body (UB) such
as tipper and box etc. And chassis cab is composed of cabin (CAB) as passenger space and chassis frame. The upper
body is equipped in the upper body frame on chassis frame. The motor company manufactures and sells chassis
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cab and upper body & upper body frame are manufactured by body builder company for manufacturing specially
equipped vehicle. For selling chassis cab in European region, the motor company has to offer various design and
manufacture condition to body builder company. This is called BBM (Body Builder Manual).
In this study, the simulations are carried out under several loading conditions (Normal loads, Abuse loads, Special
loads) in various specially equipped vehicles (Tail-Lift Box, Sidewards of Tipper, Backwards of Tipper vehicle etc.)
for ensuring robustness of connection part of chassis cab and upper body of H350 vehicle exported firstly among
commercial vehicle of Hyundai Motor Company. The simulation is performed in full car FE-model by replacing
dynamic load with static load using contact condition and non-linear material property. And the structure adhesive
is modeled into solid elements and connected with parent metal using tied contact in the FE-model. Also, the bolt
looseness can be predicted by calculating axial and shear load in bolt connection part. It was able to secure stiffness
and strength of connection part of chassis cab and upper body through this simulation process using Abaqus/
Standard, and optimize the position and number of the chassis bracket.
I
Evaluation of Tennis Racket Swing During Impact with a Tennis Ball
Illinois Institute of Technology
Roberto Cammino, Feijia Zhang, Junxiong Zhang
This report analyzes the differences in the ball exit velocity (BEV) when a ball arriving at a given velocity is hit at
different points on the string bed of a racket and describes the reaction force on the handle of the racket through the
use of Dynamic Finite Element Simulations. The objective is to prove that the Finite Element Method can be used to
determine optimal hitting points for rackets during a tennis match. Optimal hitting points are considered to be the
ones producing the fastest BEV and lowest reaction force on the user’s hand. Eleven different spots were analyzed.
The incoming ball velocity was assumed to be 40m/s and the racket rotational swing speed was assumed to be 0.05
rad/ms. The results show that it is feasible to simulate the impact of a ball with a racket and determine stresses on
the racket as well as the BEV and reaction force on the user’s hand using Dynamic Finite Elements and Abaqus/
Explicit. This work can be very insightful into using Finite Element Simulations to determine optimal racket swing
speeds and ball hit positions for a tennis player to create optimal plays during a match.
Evaluation of Brain Stresses during Car Crashes using the SAE Baja Racecar Test Vehicle
Illinois Institute of Technology
Xiaorui Shangguan, Haoyang Yan, Roberto Cammino, Aiman Shibli
This report describes the result of a research project focused on driver's brain damage evaluation during front impact
of the Baja SAE race car to a wall. Two kinds of situation were considered in this analysis: a driver with and without a
seat belt. The goal of this project is to check the amount of stress absorbed by the brain during impact and evaluate
the role of the seat belt during impact. The analysis consists of a dynamic simulation of an impact of a car frame
on a wall by using Finite Element Analysis (FEA) method. Models were meshed by using HyperMesh (a FEA preprocessing software). After finishing modeling, results were calculated and analyzed by using the Abaqus/Explicit (a
computer aided engineering program) explicit solver. Results include the stresses, energy, velocity, acceleration and
displacements experienced by the following elements of our model: brain, neck, dummy body and car frame. The
results obtained from the analysis were displayed through charts.
Brand & Keywords: SIMULIA, Assemblies, Biological Modeling, CAD Integrated Analysis, Contact & Impact Mechanics,
Design Optimization, Dynamics & Shock, Multi-body Dynamics and Systems Engineering, Optimization
Intel
Michael Moretti
This is a high level introduction to Intel's view of HPC and the technologies that support it. Products including many
core processors and our new OmniPath fabric.
Brand & Keywords: SIMULIA, HPC
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L
Preparing for an App-Driven World in Scientific Informatics
LabAnswer
John Conway
The convergence of science and information technology is an everyday occurrence in Research and Development.
Using technology to give a better user experience and accelerate science outcomes is what drives us all. LabAnswer
will present an overview of how we are helping customers and partners achieve this vision, utilizing innovative (and
even disruptive) technologies.
Brand: BIOVIA
Quality Control of Pipe Lay and Riser Dynamic Analysis
Lse Design Inc
Luca Suschitz, Lee Taylor, Travis Matula
The increasing frequency in the use of Engineering Criticality Assessments (ECA) to determine weld quality in the
installation of offshore pipelines and risers has put an increased focus on the importance of accurate predictions in
dynamic stresses during installation and service. Over-predictions impose constrains to the installation campaign
with high cost and safety implications. The response predictions of a pipe profile suspended from a vessel in random
sea state with environmental loading and interaction with the seabed is a complex nonlinear problem. From a
dynamic structural in place perspective the pipe catenary presents a near continuous spectrum of frequencies and
modes of vibration. This has important dynamic numerical and structural relevance, implying excellent resonance
transmissibility for any input forcing oscillation frequency. The numerical work used to represent the physical
structural system present a tendency to amplify its response. It is well diffuse in the analytical community that
common dynamic software present unreasonable high dynamic amplification factors. This work proposes an Abaqus
based approach to calibrate appropriate damping. Provisional the software implementation, it is clear that the
generalized effective parasite forces acting in phase with the velocity of the structure is key to the ultimate response
in the dynamic analysis. When a simple cantilever beam is left oscillating to rest after an initial deflection in water
or air medium, many of the software would over predict largely the total number of oscillations. When a pipe was
dropped to rest on the seabed many software unrealistically counted several bounces indicating not accurate pipe
soil dynamic interaction set up. The methodologies and toos set forth in this work are extendable to a variety of
mechanical subsea component. The predictions reflected a rigorous process involving several iterations to validate
predictions with numerical work reflecting a true of pipe response. This paper has offered improvement the quality
control methods used to debug dynamic lay predictions with a view to increasing Project offshore workability and
ultimately Project profitability which is greatly needed to make deep water and offshore oil and gas cost competitive
with lower cost onshore reserves.
Brand & Keywords: SIMULIA, Assemblies, Contact & Impact Mechanics, Durability & Fatigue, Dynamics & Shock,
Multi-body Dynamics and Systems Engineering, Simulation Lifecycle Management
M
Analysis of Clothing Pressure on the Human Body in Motion
Mechanical Design & Analysis Corporation
Takaya Kobayashi, Yasuko Mihara, Yumiko Isogai, Sonoko Ishimaru, Chisato Nonomura
The comfort provided by clothes directly affects the human psychology as well as physiology in all environmental
conditions. The primary elements that contribute to comfort include the temperature and humidity conditions inside
the clothes, which are referred to as the micro-climate within clothing; the clothing pressure generated when the
human body is pressed under clothes; and the feeling of clothing, which is largely influenced by fabric. Among these
elements, the benefits of pressure from clothing are comfort, as well as improvements in exercise skills, reshaping of
the body, and medical changes in the autonomic nervous and circulatory systems.
In a previous study, the authors presented the development of knitted fabric models for finite element analysis to
simulate the large deformation behavior of garments and clothing pressure distribution on the human body in a
stationary position. For the modeling of cloth materials, two analytical approaches were investigated: a rebar layer
model combined with isotropic hyperelastic shell elements and an anisotropic hyperelastic material model with a
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polyconvex strain energy function defined by the user subroutine UMAT. These material models were implemented
in S4R, the four-node shell element of Abaqus/Standard. This paper describes an extension of the investigation to a
study of the human body in motion. The study accomplished a fully automatic simulation of the clothing pressure
change in T-shirts during jogging. The analysis technique is expected to be utilized in the development of a stabilized
electrocardiographic measurement for a person during exercise.
A Hyperelastic Visco-elasto-plastic Damage Model for Rubber Materials
Mechanical Design & Analysis Corporation
Kai Oide, Takaya Kobayashi, Junji Yoshida
In designing a kinetic mechanism for modern complex structural members including a rubber device, it is of technical
importance to improve its accuracy in predicting the inelastic cyclic behavior of rubber materials. A simple term like
“dynamic spring constant" is no longer enough to describe advanced industrial applications. This paper describes
our experimental investigations and numerical simulations of the dynamic characteristics of rubber materials. The
experimental dynamic responses, with strain amplitude, temperature dependence, or frequency dependence, were
provided by simple shear test specimens as well as automotive rubber bushings. The vibration test was performed
by a shaking table with a sufficiently large load capacity for the frequency range of up to about several tens of
Hz. Reflecting the experimental results, a combined visco-elasto-plastic and hyperelastic damage model was
implemented in a user subroutine of UMAT in Abaqus, which enabled representations of the visco-elastic, elastoplastic, Mullins effect, and energy absorption performance of rubber materials. One of our aims is an application of
the results of investigations by the material-modeling working group of JANCAE (Japan Association for Nonlinear
CAE). The working group sprang from the idea of providing a multidisciplinary forum for rubber researchers, design
engineers, and software engineers through the medium of advanced finite element codes, including Abaqus. This
paper also briefly describes JANCAE activities.
Brand & Keywords: SIMULIA, Material Modeling, Optimization
Simulation of Caulking Process using Abaqus/Explicit
Mercedes Benz Research and Development India
Seshadri Vasudevan, Madhu Dama, Vijendra Sharma
This paper showcases the capabilities of Abaqus/Explicit solver to simulate and solve problems involving huge plastic
deformation due to caulking process. Caulking is a mechanical joining process achieved by plastically deforming a
material in order to hold another material. This method is in research phase and being examined by engineers at
Daimler and University of Erlangen-Nuremberg (Germany). This technique is mainly used in Permanent Magnet
motors to hold the magnets in the rotor stacks. The process involves punching operation by a tool on the laminates
to plastically deform them thereby locking the magnets in their position. The caulking operation was successfully
simulated using Abaqus/Explicit for Required load cases. The objective of the simulation was to find optimum tool
geometry, depth of tool penetration and location of penetration for caulking process. The optimal tool geometry &
location is identified for positive locking of magnets in the rotor slots and optimum depth of penetration is decided
based on stress in the magnet. It was observed that the Abaqus solver was more robust than LS-Dyna in terms of
solvability and simulation time. The results were found closer to test data in terms of force achieved for optimal
depth of caulking, stresses in the magnet and the displacement pattern in the laminates. The best combination of
Tool profile, position and depth of caulking tool to lock the magnets in their position without damaging them was
suggested to design team well in advance. This illustrates the effectiveness of numerical simulations, helping the
designers in reducing the need for actual test bench with numerous high cost fabricated hardware setup and thereby
saving huge R &D cost and time.
Brand & Keywords: SIMULIA, Assemblies, CAD Integrated Analysis, Contact & Impact Mechanics, Design Optimization,
Manufacturing
78
FEA Prediction of Off-Road Tire Temperature Distribution
Missouri University of Science and Tech, Rolla, MO
Wedam Nyaaba, Samuel Frimpong, Godfred Somua-Gyimah, Grzegorz Galecki
Excessive heat generation and retention in dump truck tires is among the most common causes of tire removal
in the surface mining industry. Accurate prediction of an operating tire temperature profile will involve the use
of advanced numerical models and solution schemes to mimic the complete elastomeric materials response to
operating conditions. The internally generated heat in a tire is a function of its viscoelastic energy dissipation during
rolling. Previous research studies have inaccurately predicted off-the-road (OTR) tire heat generation rates and
temperatures by the use of linear viscoelasticity to approximate the rather nonlinear viscoelastic rubber material.
This paper presents an accurate approach to predicting OTR tire temperature distributions taking into account the
true mechanical response of the filled rubber compounds used in tires. Rubber nonlinear viscoelasticity has been
modeled using the recently implemented parallel rheological framework (PRF) in Abaqus. Stress relaxation test data
for two regional compounds (tread and carcass) have been used to calibrate the PRF material model parameters
using the data matching component of Isight. A fully coupled thermal-stress analysis procedure in Abaqus/Explicit
was adopted to compare temperature distributions of a typical Michelin 59/80R63 tire modeled using two material
models: (i) linear viscoelasticity, and (ii) nonlinear viscoelasticity. The results obtained show that tire temperature
distributions are accurately predicted from the PRF material model.
Brand & Keywords: SIMULIA, Tires
Automated Framework to Predict Field Failure Rate for Handheld Electronic Devices
Motorola Mobility LLC
Manish Maheshwari
Consumer handheld devices are constantly subject to mechanical abuse like everyday drops, scratches, bending,
environmental and thermal exposure is to name a few. Most electronic device manufacturer try to estimate field
failure rate (FFR) and warranty cost using accelerated life-cycle testing for most of the everyday abuse. However
limited time and smaller sample sizes leave them with large statistical variation in failure counts and thus results in
large variation in final estimates of FFR and warranty cost. Advancement in numerical simulations capabilities, speed
and quality has helped replace most physical tests with mechanical simulations. Using the data from simulations
can be used to predict FFR more accurately; however that requires large number of simulations to cover most of the
variation in designs, and load variations. Author has developed an automated framework using Isight and python
scripts that can design the load cases, submit simulations with design and load variations, collect results from
simulation result files and run the statistical analysis to produce FFR for specified component for given load cases.
Brand & Keywords: SIMULIA, statistical probability, field-failure-rate, FFR, accelerated-life-cycle test, ALT, consumer
electronics, cell-phones, LCD, OLED, display, brittle failure, Isight, Python, automation, statistics
N
Analysis of 3D Steel Concrete Composite Buildings using Abaqus
National University of Singapore
Jeyarajan Selvarajah, J Y Richard Liew
Research on progressive collapse analyses of steel-concrete composite building structures has been performed
over the last two decades with few simplifications in composite building frame components. This is because the
detailed modeling of the nonlinear behavior of steel-concrete composite slabs and joints is rather tedious and involves
interaction between floor beams, slab and beam-to-column joint behavior. Past research on progressive collapse
analysis of building frames has reported that full three-dimensional (3D) building frame analysis is computationally
expensive and consumes substantial computational resources in order to predict the non-linear dynamic response of
buildings. Although well-calibrated simplified plane frame models can be relied upon to model progressive collapse,
the results obtained from plane (2D) frame analyses may not be conservative. The main objective of this research
study is to develop efficient computational models using Abaqus to capture the behaviors of steel-concrete composite
building structures subject to extreme load. The proposed composite slab model avoids complex geometric modeling
of metal deck profile, concrete profile and shear stud, and it requires less computational time for analyzing large
building framework. The proposed joint model using Eurocodes avoids detailed finite element modeling of joint
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components such as bolts, gap, bolt-hole size, plates, etc., to improve the computational efficiency of analyzing
large three-dimensional (3D) building frames. The incorporation of semi-rigid joints and composite slabs in 3D frame
analysis tends to produce more realistic estimate of frame behavior compared to model using pin or rigid joints or
skeleton frame.
Then, using the proposed numerical models, variety of moment and simple braced frames were investigated using
conventional alternate path approach and direct blast analysis to evaluate their progressive collapse resistance.
Abaqus shall be adopted by researchers and practicing engineers to investigate the real response of 3D building
frame.
Brand & Keywords: SIMULIA, Buckling & Collapse
Modeling of Wave Propagation Through Soft Electrically Tunable Metamaterials
Naval Undersea Warfare Center
Michael Jandron, David Henann
This talk will present numerical simulation capability, developed within the Abaqus/Standard environment, for
modeling steady-state wave propagation through soft dielectric elastomer composites. Specifically, the discussion
will include (a) a nonlinear user-element subroutine (UEL) to simulate the coupled electric-displacement response
of these soft materials, (b) a user MPC subroutine to enforce complex-valued Bloch-Floquet constraints, as well as
to impose appropriate updated Lagrangian boundary conditions on the representative volume element (RVE), and
(c) a method within the UEL to lower the dispersion error in the solution by modifying the mass matrix. Through
the combination of these methods, it is possible to study how the application of an electric field to these materials
results in opening and closing of phononic band-gaps, that is, frequency ranges in which propagating waves through
the dielectric elastomer composite are not permitted. This modeling framework is useful to guide the development
phononic metamaterials that cannot be analyzed analytically and leverages the computational backbone of Abaqus/
Standard, which enhances portability and maintainability of our modeling approach. We envision using these
electrically-tunable phononic metamaterials to provide vibration isolation for undersea structures. This work is
supported through the Naval Undersea Warfare Center In-house Laboratory Independent Research (ILIR) program.
Brand & Keywords: SIMULIA, Dynamics & Shock, Material Modeling, Noise, Vibration & Acoustics
O
Topology Optimization of a Lacrosse Head
Optimal Device
Rob Stupplebeen
Like many industries the balance between cost, stiffness, strength and weight is critical in sports equipment. This
study goes through the methodology to perform topology optimization with CATIA (CAD), Abaqus (FEA), Tosca
(Topology Optimization) and Simpoe (Injection Molding). Topology optimization evolves the geometry to remove
unneeded material effectively minimizing weight and maximizing performance. This is carried out by automatically
scaling individual element's density and stiffness based on the stress state of the previous simulation. This is an
iterative process where material flows to regions to satisfy constraints and minimize the objective function.
Brand & Keywords: SIMULIA, Composites, Contact & Impact Mechanics, Design Optimization, Manufacturing,
Material Modeling, Optimization, Process Automation
P
Reservoir Driven Production Risk Management for Oil & Gas Operations
Paradigm Geophysical
Indy Chakrabarti
Reservoir Driven Production Risk Management (RD PRM) is a new combined software and services offering now
available through a partnership between Dassault Systémes and Paradigm Software. RD-PRM helps customers
understand how their reservoir changes over time by integrating advanced rock, fluid and stress characterization. The
solution focuses on the following key challenges: Optimize Completion Strategies in Unconventionals: With falling rig
counts and a growing backlog of drilled, but not yet completed wells (DUC) in shale plays, operators are increasingly
focused on identifying the best strategies for refracking existing wells or building more optimal fracking strategies
80
for DUCs. The offering will help operators identify these strategies as part of their completion plans. Anticipate FaultReactivation: Producing hydrocarbons from highly stressed faulted reservoirs either through primary depletion or
enhanced recovery production can result in unanticipated fault reactivation, leading to potential material impacts, loss
of production and possibly the reservoir itself. By integrating a high fidelity geological model with state-of-the-art
geomechanical simulation, customers can optimally manage their reservoir and control production risks.
Brand & Keywords: SIMULIA
Use of Agile Methodologies to Accelerate BIOVIA LES Implementation
Perrigo
David Redding
For organizations with large product portfolios, the ability to efficiently expand the use of LES to new products is
essential for maximizing the benefits of the system. But balancing new product implementation with on-going
support is challenging for a single support team. Come see how Perrigo addresses this problem while also decreasing
errors and improving user satisfaction.
Brand: BIOVIA
A Computational Tool-Box for Pharmaceutical Chemical Development and Analytical Chemistry
Scientist
Pfizer
Yuri Abramov
State-of-the art computational approaches were created, based on Pipeline Pilot Web Port architecture, to support
process and analytical chemistry development in the pharmaceutical industry. These computational chemistry tools
include multiple approaches related to reactivity and free energy of reaction prediction to guide chemistry route
analysis and selection problems. The analytical tools allow prediction and interpretation of IR, Raman, NMR, VCD,
and UV spectra. Selected applications of these computational tools will be presented.
Brand: BIOVIA
Further Extending Pipeline Pilot in BIOVIA Workbook: Beyond Toolbar Buttons and the Analyze Tab
Pfizer
Marty Berliner
The integration of Pipeline Pilot and Workbook brought significant potential to link the powerful aggregation and
analytics capabilities of Pipeline Pilot with the data rich environment of Workbook. However, we found it difficult
to immediately realize this potential and spent several years trying to understand the best way to deploy protocol
functionality in Workbook. In this talk, I will describe two significant enhancements in our use of PP in Workbook:
the development of a simple workbook extension that allows for the trivial use of protocols in any experiment script,
and a PP-hosted AJAX web app for compliance reporting.
Brand: BIOVIA
Using Pipeline Pilot to Drive Large Scale Visualizations in DXP Using Information Link
Pfizer
Jackie Klug-McLeod
The use of on-demand information links, database connections that respond to user, column, or selection-based
input, and custom on-the-fly merging of data from multiple sources has enabled visualization and analysis of multiple
types of cross-project data of interest to project teams. At Pfizer, we have developed processes to exploit the use of
information links by building infrastructure in Pipeline Pilot to create database tables. A background of the processes
will be presented and through short descriptions and examples of project impact, we will introduce multiple tools
that rely on this data structure. One such tool will describe the Kinase DXP Viewer (KDV), a tool for visualizing kinase
screening panel data that allows for complex sequence based analysis, through an example from a recent project.
Brand: BIOVIA
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Lead Optimization Through Rapid Estimation of Relative Binding Affinities:
Multiple Gene Family Evaluation
Pfizer
Sirish Kaushik Lakkaraju
Rapid estimation of relative ligand affinities offers the potential to allow computational methods to direct ligand
design and development. Towards this goal we have developed two methods based on pre-computed ensembles;
Site Identification by Ligand Competitive Saturation (SILCS) and Single-Step Free Energy Perturbation (SSFEP). SILCS
is based on computational functional group affinity mapping (FragMaps) of proteins using MD simulations that
take into account contributions from protein desolvation, functional group desolvation, protein flexibility as well
as direct functional group-protein interactions. Boltzmann transformation yields Grid Free Energy (GFE) FragMaps
that may be used both qualitatively and quantitatively to direct ligand design, including in deep and occluded
pockets using an oscillating μex Grand Canonical Monte Carlo (GCMC) approach. In SSFEP a lead compound-protein
complex is subjected to MD simulations from which an ensemble of ligand-protein conformations is obtained. Similar
calculations are done on the ligand in solution. Free energy differences associated with small ligand modifications of
the lead compound may then be evaluated using the free energy perturbation formulation in the context of single step
perturbations. Both SILCS and SSFEP allow for rapid scoring of thousands of transformations on a daily time frame
offering the potential to identify synthetically accessible ligands thereby facilitating decisions concerning compounds
for synthesis and testing. An overview of the SSFEP and SILCS methodology will be presented along with summarized
results for kinase, protease, nuclear hormone receptor, bromodomain, and methyl transferase gene families.
Brand: BIOVIA
Auto-generating Components to Access Services with Patterns
Pfizer
Steven Rieth
A series of Pipeline Pilot utilities to automate tasks associated with our Any Assay Anywhere (AAA) initiative required
access to the underlying AAA RESTful services. Currently, there are over 130 service calls, not including variations
for GET, PUT, POST and DELETE, with more coming as more functionality is implemented. Creating components for
each of these would take too much time, so framework (probably breaking most of BIOVIA's best practices) was built
to programmatically generate components based on patterns of these services. This talk will provide an overview of
this process, pros and cons, as well as future enhancements.
Brand: BIOVIA
Usage of an Inventory Management and Laboratory Execution System at PPD Lab Operations
PPD
Jennifer McClung
PPD is using inventory management systems from BIOVIA to track reference standards and critical reagents as well
as instruments consumables in addition to the Laboratory Execution System (BIOVIA LES, formerly SmartLab). The
presentation will discuss the application and usage of BIOVIA CisPro and IM (Inventory Management), how PPD
moved from traditional method building to an Electronic Bench Sheet (ELB) format and the benefits expected of an
integration with the LES in a GLP environment. Brand: BIOVIA
Virtual Modeling's Role in Improving Impact Performance of Plastic Containers
Plastic Technologies, Inc.
Sumit Mukherjee
The packaging industry is on the brink of process changes including manufacturing, materials and their applications.
New concepts are being born via computer screens and virtually nurtured to create commercially-viable packages.
This is taking place before ever touching the mold, creating an actual package or conducting a physical test. It’s
important to understand various aspects of processing, material properties, package design, product characteristics,
as well as specifications and performance parameters that need to be met. Design guidelines have matured to the
point where “moldable” geometry is part of the CAD software intelligent database. This helps take concepts, convert
them to viable production ready designs and provide a degree of confidence that the package can be manufactured.
However, the output from this stage does not tell us whether or not a specific performance characteristic, such as
82
improving the drop impact performance, has been achieved. This is where the second component of virtual modeling
comes into play. The intricate CAD geometry can be manipulated to add further definition regarding thickness and
material properties.
This presentation focuses on interplay between design and material distribution to help improve container
performance. Extrusion blow molded containers derive their thickness distribution from the parison shape which is the
precursor to the blown bottle. Challenges exist with ideal thickness distribution (economics vs. optimal performance)
hence filling; packing and distribution studies need to be undertaken using simulation techniques. They can predict
whether or not the part can be blown with optimal thickness distribution and geometry that will help, for example,
absorb the resulting stress after being dropped without rupturing.
Brand & Keywords: SIMULIA, CAD Integrated Analysis, Design Optimization, Material Modeling, Optimization,
Packaging Performance Simulation, CPG Drop Testing
Optimised Design of Foundations for Wind Turbine Towers
Principia
Javier Rodriguez, Luis Lacoma, Francisco Martinez, Joaquin Marti
Environmental, political, and other considerations are leading to the installation of growing numbers of wind turbines
for electricity generation. This paper concentrates on onshore installations, in which the turbine is at the end of a
tower founded on the ground. Problems in the foundation or its connection to the tower may entail a global failure.
A worrying percentage of the towers built before 2010 is ill designed, often with obvious manifestations. On the
other hand new designs attempt to optimize material quantities and costs while providing an adequate response.
Principia has gathered considerable experience in both the identification and remediation of the problems of older
foundations and the optimization of new designs. The paper sets the key considerations to be kept in mind when
conceiving those structures. It also illustrates with real examples the shortcomings of some foundations, describing
their remediation measures, and the aspects that govern the foundation with a view to its optimization. The problem
is particularly suitable for numerical simulations with Abaqus and this paper provides the necessary concepts and
methodological approach. More specifically, the concrete geometry is meshed with solid elements. Surface elements
including rebar layers are embedded. Other parts like the steel cylinder, welded studs, anchorage bars, etc. are also
included. The concrete behavior is described with the concrete damaged plasticity model. Explicit integration is used
because of the strong nonlinearities caused by concrete cracking and crushing. The methodology allows assessing
the suitability of the design for ultimate, serviceability and fatigue limit states.
Brand & Keywords: SIMULIA, Buckling & Collapse, Material Modeling
Deployment of Pipeline Pilot Protocols within the V+R System of Record
Procter & Gamble Company
Kip Shaffer
Abstract: Procter & Gamble has embarked on a journey with Dassault Systemes to create a single platform for
model deployment, reuse and retention across all of our Modeling & Simulation needs. Within this journey, we are
establishing on SIMULIA’s V+R Process Applications as our foundational platform for simulation process and data
management. Formulated product modelers have been using the built-in functionality of BIOVIA’s Pipeline Pilot in
their modeling efforts to develop protocols. We have developed a methodology to enable model developers to easily
deploy their Pipeline Pilot protocols within the V+R system of record. The combined system gives them a secure,
robust system where formulators can execute these models, have their results permanently recorded, and linked to
the larger innovation process.
Brand: BIOVIA
Understanding Molecular Sieve Structures by Combining Experimental and
Simulated Molecular Spectra
PQ Corp
Istvan Halasz
About 90% of all chemical products is affected by catalysis. The active ingredient in more than 50% of the
heterogeneous catalysts is one or more microporous molecular sieve. Their delicate structural details determine
catalyst activity and selectivity, which are therefore routinely characterized by IR, Raman, UV or other molecular
spectroscopic techniques. Sometimes we observe unexpected phenomena during these studies, which point at novel
83
structural aspects with various speculative options. In this presentation I will show a few examples how molecular
modeling could help in deciding which speculation had realistic basis on some widely employed novel industrial
catalysts.
Brand: BIOVIA
Simulating Plastic & Rubber: time, temperature & large deformation
Psylotech
Alex Arzoumanidis
Plastic & rubber are notoriously difficult to simulate, because their so-called viscoelastic properties change with
time. Their mechanical response depends on loading history. High strain rates stiffen modulus. Step loads relax
in time. Environment also affects viscoelasticity. Temperature softens modulus, while pressure increases it. To
complicate matters, hysteresis from cyclic loading generates heat, increasing temperature, potentially weakening
the material. An entropy-based, reduced time, nonlinear viscoelastic model is presented. Similar to time-temperature
superposition, VISCA is a sort of time-entropy superposition. Environmental and large strain effects on entropy
reduce time through a horizontal shifting factor. Tracking entropy at each time step, VISCA also couples mechanical
loading to heat generation. As such, implementing this Abaqus add-on module requires both mechanical and thermal
boundary conditions. VISCA is well grounded in the technical literature. It is the evolution of Knauss & Emri’s Free
Volume model (1981) as modified for shear by Popelar & Liechti (1997). VISCA replaces Free Volume with Entropy
sub-states, correcting Free Volume's limitations while retaining its strengths. VISCA requires only two experiments
to predict any strain history and any temperature history. The first is a large strain ramp load/unload/load to failure
experiment, used to obtain certain nonlinear model parameters. The second is a novel technique to measure the full
viscoelastic stiffness matrix. Post-processing this dynamic mechanical analysis produces time domain bulk and shear
curves at any temperature.
Brand & Keywords: SIMULIA, Plastic, Rubber, Viscoelastic, Deformation
Stiffness Mapping in Biological Materials Based on MRI Imaging and Topology Optimization
Purdue University
Luyao Cai, Claus Pedersen, Ross McLendon, Manuel Biedermann, Gergana Dimitrova, Jiang Yao,
Magnetic resonance imaging (MRI) is a preeminent technology to visualize the internal tissue structure, in addition
to other physical phenomena like flow and diffusion. One specialized MRI technique, termed displacements
under applied loading by MRI (dualMRI), was developed to measure displacements and strain in musculoskeletal
tissues, hydrogels, and engineered constructs. However, deformation information does not directly describe spatial
distributions of tissue stiffness, which is critical to the understanding of disease progression. In order to achieve
this goal, we proposed an inverse modeling approach based on Tosca and Abaqus to map the internal stiffness
nondestructively from image-based displacements measured in different biological constructs. In this study, the
inverse simulation was validated on displacements results derived from forward simulations where materials
properties and boundary conditions were known. With different level of noise added, the error associated with the
relative stiffness mapping technique was studied and the optimized smoothing technique was chosen. To analyze
the effects of each parameters in the inverse modeling process, sensitivity analysis was done using Cotter's method.
Additionally, experimental data from bi-layered agarose gel under different loading conditions were modeled, with
plane stress assumption in two dimensions. The significance and potential of this approach was highlighted for the
description of tissue degeneration, repair, and complex material properties.
Q
Ductile Tearing Instability Assessment of a Cracked Reactor Pressure Vessel Nozzle for Larger Critical
Crack Size Compared to the FAD Method
Greg Thorwald, Joyce Wright
The objective of this paper is to evaluate a cracked nozzle in a reactor pressure vessel using a ductile tearing instability
assessment. A material resistance J-R curve and elastic-plastic finite element analyses (FEA) are used to evaluate
crack stability and obtain a critical crack size. The expectation is that the critical crack size will be larger from the
tearing instability assessment compared to a typical Failure Assessment Diagram (FAD) assessment, since the rising
84
J-R curve gives higher toughness as stable tearing occurs. Both the tearing resistance and FAD assessments are
described in the engineering best practice standard API 579-1/ASME FFS-1. A reactor vessel nozzle geometry with
a postulated surface crack is used as an example to examine the analysis details and common difficulties encountered
when creating the crack model, obtaining the necessary elastic-plastic FEA convergence using Abaqus/Standard to
compute the J-integral values, and determining the tearing stability point. The non-dimensional tearing modulus
plot provides a definite identification of the stability point, which leads to the critical crack size. The reason for easier
elastic-plastic convergence for a tearing stability assessment than for an FAD assessment is discussed. Engineers
using Abaqus benefit from elastic-plastic FEA of 3D crack meshes by computing the J-integral values needed to
assess cracked structural components. When a J-R resistance curve is available, a ductile tearing assessment can
provide a larger critical flaw size, which could justify reducing or delaying inspections, and could allow for a longer
service life in cyclic fatigue before repair or replacement is needed.
Brand & Keywords: SIMULIA, Durability & Fatigue, Material Modeling
Fracture Mechanics and 3D Crack Mesh Analysis Software. Assessing damaged structures relies on
fracture mechanics procedures in engineering standards and frequently finite element analysis
Greg Thorwald
The variety of damage conditions and complexity of some assessment procedures can make even a basic assessment
tedious and impractical. SignalTM Fitness-for-Service from Quest Integrity covers procedures in the current API
579/ASME FFS 1 standard and evaluates a variety of damage: metal loss, pitting, and cracking. Crack-like flaws
can be evaluated using the Failure Assessment Diagram, parametric, and Monte-Carlo methods to obtain limiting
crack sizes and limiting load cases. Growing cracks can be evaluated using fatigue and/or creep analysis. Stress
profiles from Abaqus FEA can be used as the loading input. For a more detailed cracking analysis, crack meshes with
a range of crack sizes are usually needed. However, generating crack meshes in complicated geometries may take
too much time to be practical, so detailed fracture and/or fatigue crack growth analyses are not always conducted.
FEACrackTM helps engineers generate crack meshes and ready-to-run Abaqus input files quickly and easily, even in
complicated structures, to compute the stress intensity and J-integral along the crack front. A user-defined geometry
method generates 3D crack meshes in arbitrary volumes, and the fatigue crack growth module, which can be used
with Abaqus sub-modeling, uses a re-meshing method to update the crack size for each increment of growth. Using
Signal FFS and FEACrack allow asset operators to determine the condition of damaged structures with precision and
make confident asset management decisions. Engineers benefit from improved solution accuracy and better crack
assessments.
Brand & Keywords: SIMULIA, Crack, Failure Assessment Diagram, Monte-Carlo Methods, Fatigue Analysis, Creep Anaylsis
R
Exploring the Synergies Between Discoverant and Pipeline Pilot – Templated Reporting
Regeneron
Victor Shashilov
Do you create weekly reports? Or maybe you are responsible for monthly or annual reports like APRs or PQRs.
Do you spend most of your time gathering the data, analysis, or charts for these reports? This talk will show
how you can use Pipeline Pilot and Discoverant to automatically generate templated reports. We will demonstrate
how Discoverant can gather your data, perform the analysis, and provide the charts to Pipeline Pilot. We will also
demonstrate how Pipeline Pilot can work with Discoverant to generate your templated report.
Brand: BIOVIA
The ELN Selection Process
RJ Reynolds
Sheila Davis and Allison Joyce
From idea to production, how the notebook was selected and the driving features in our selection process at RJ Reynolds.
Brand: BIOVIA
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Design and Test of a Canard for a Missile
Roketsan Missile Ind.
Ali Yetgin, Bulent Acar
Canards are frequently used control surfaces to steer missiles in the air. They are positioned at relatively forward
sections of the body. Considering the mechanical and thermal loadings during the flight of a missile, design of a
canard is a challenging process. Guidance of the missile to its target relies on these control surfaces. In case of a
malfunction or damage on the structure of it, missile cannot fulfill its mission. Therefore they are crucial components
and on critical design path. Canard system which consists of aerodynamic control surface and a rotating base must
withstand aerodynamic loadings and rotate within predefined angles to produce steering action. Necessary rotation
movement may be provided by mechanical or hydraulic actuators. In this study, canard body and its connection
to rotating base were modelled in Abaqus/CAE. Detailed finite element model of bolted connection was created
and thermo mechanical strength analyses were performed. Different bolt configurations and loading varieties were
analyzed in order to ensure adequacy of the design. Safety of the system was calculated against applied aerodynamic
pressure and thermal loadings. Experimental study was conducted in order to obtain ultimate loading of the system.
Finally analyses were verified using various measurements during tests such as strain and displacement. At the end
of study a good correlation was obtained between analysis and test results.
Brand & Keywords: SIMULIA, Assemblies, Contact & Impact Mechanics, Manufacturing
S
ASME Cyclic Creep Evaluation of Critical Piping Component using CREEP Subroutine
and ORNL Test Data
Saba Metallurgical and Plant Engineering Services, LLC
Brent Saba
A critical piping component was to be exposed to a new cyclic operation, where parts of the new cycle would exist in
the creep regime for the Alloy 800-H(T) material. FEA using Abaqus was employed to determine the expected safe
life of this component due to the combined effects of fatigue cycles and creep. Providing accurate modeling of the
creep process of the Alloy 800-H(T) was crucial to obtaining reliable equipment life prediction. Therefore, raw test
data and curve fitting data for 800-H material from Oak Ridge National Laboratory (ORNL), covering a wide range
of plate thicknesses, applied loads, and duration, was used to develop a CREEP Subroutine. An elastic-plastic-creep
multi-cycle simulation was created, using this CREEP subroutine. Evaluation of this cycle simulation was based on
ASME Section III-NH (High Temperature Nuclear Code) Rules. Low cycle fatigue is based on maximum strain range
and Code fatigue curves. Extent of creep is determined using an averaged maximum equivalent stress with relation
to Code creep time-to-rupture stress values. Creep fatigue interaction is based on Code Damage Equation and a
Code designated total creep-fatigue damage degradation factor. The creep contribution was determined to be nil,
only adding its effect to the degradation factor. The number of cycles was determined to be acceptable for a life
of 25-years based on the current number expected cycles per year. This piping component has been installed and
operating for nearly three years. Recent inspection revealed no adverse conditions. Previously unavailable, the client
now has reliable data.
Brand & Keywords: SIMULIA, Durability & Fatigue, Material Modeling
A Finite Element Model of the Intervertebral Disc
Saint Louis University
Sheila Buswell, Gary Bledsoe, Scott Sell, Natasha Case
Intervertebral Disc (IVD) Degeneration causes pain and movement restrictions in the majority (60%) of people during
their lifetimes. The development of approaches for IVD arthroplasty is hindered by the insufficient understanding
of the load requirements and the material properties of the IVD. Computational modeling is one approach that can
be used to explore connections between IVD loading, properties, and disc degeneration. However, computational
approaches utilize a finite element model (FE) that oversimplifies the construction of the IVD. The annulus fibrosis
(AF) is often modeled as an isotropic material with consistent material properties throughout. Computer models of
the IVD are typically validated against mechanical testing of isolated vertebral segments. The aim of this study was
to develop an FE model of the IVD that replicated the in vivo failure modes experienced clinically. The model created
in this study utilized four distinct materials - the cartilaginous end plate (CEP), Nucleus Pulposus (NP), and two
distinct layers of the Annulus Fibrosis (AF) - to represent the constituents of the IVD. The geometry of the model
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was based on average dimensions provided by computerized axial tomography. Material properties were assigned
to each component based on published values from the literature. The model was validated by comparison to force/
displacement data from mechanical testing. The SOLIDWORKS FEA Model was validated by an Abaqus static FEA.
SGI
Scott Shaw
SGI is focused on helping Simulia customers solve their most demanding challenges by delivering high performance
computing, server, storage, data management solutions. SGI develops, markets and sells a broad line of low-cost,
mid-range and high-end scale-out and scale-up servers and data storage solutions, as well as differentiating software
solutions on SGI platforms. In the HPC industry SGI is recognized as a trusted leader in technical computing and has
over 25 year partnership with SIMULIA and with Abaqus FEA customers. The SGI presentation is intended to help
Abaqus customers make knowledgeable choices in regards to selecting high-performance computing (HPC) hardware
to optimally run Abaqus FEA software from the SIMULIA brand of Dassault Systèmes. SGI provides a traditional
approach using distributive cluster solutions in addition to Hybrid DMP/SMP on SGI UV systems, GPU Clusters, and
SGI Remote Visualization.
Brand & Keywords: SIMULIA, HPC, Storage, Data Management
Simpleware and Abaqus: Doing More With 3D Image Data and Simulation
Simpleware
Kerim Genc
Simpleware provides software and services for converting 3D image data (such as MRI or CT) into models suitable
for CAD, CAE and 3D printing. Simpleware has well-established software solutions for Abaqus users wanting to
connect 3D scans with simulations in applications such as the Life Sciences, Materials Science, Rock Physics and
Non-Destructive Testing. The integration solution provided by Simpleware for Abaqus users is particularly notable
for solving problems associated with processing 3D image data prior to simulation; this includes capabilities for
image reconstruction, measurement and quantification, as well as CAD integration with image data and calculation
of effective material properties. As well as robust surface exports, Simpleware offers dedicated volume mesh
exports for FEA/CFD in Abaqus. The Simpleware and Abaqus solution has been used for many years for workflows
involving complex anatomical data obtained from scans, for example when analysing the relationship between the
body and CAD-designed implants. However, the compatibility between the software has also opened up imagebased simulation to areas such as the modelling of material and rock samples, components and workflows involving
automotive and aerospace parts. New developments in 3D printing similarly mean that scanned objects can be
processed in Simpleware software before simulating typical stresses in Abaqus. These workflows can also be used to
compare simulations as designed and as manufactured, creating many opportunities for comprehensive analysis of
image data. Examples will be given of these different applications, including recent cases of Simpleware being used
with Abaqus for Life Sciences, Materials and Industrial applications.
Brand & Keywords: SIMULIA, Scan to Mesh, 3D image, 3D scan Design Analysis & Validation For SOLIDWORKS 3DEXPERIENCE
SOLIDWORKS
SOLIDWORKS 3DEXPERIENCE delivers robust powerful structural analysis tools for the designer. This presentation
will review the tool and applications within the SOLIDWORKS 3DEXPERIENCE ecosystem.
Brand: SOLIDWORKS
Design Guidance with Voxel Structural Analysis
SOLIDWORKS
From before the first sketch is created SOLIDWORKS delivers technology that guides the user in design based upon
structural requirements. This presentation will review the new voxel based design guidance tool that will be part of
the new design tool Xdesign.
Brand: SOLIDWORKS
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Science Driven Design the SOLIDWORKS Way
SOLIDWORKS
SOLIDWORKS is enabling our users to incorporate motion analysis from the very first sketch, through to final product
validation to ensure product performance. This presentation will review the technologies available to our users within
the SOLIDWORKS ecosystem from linkage synthesis to traditional motion analysis tools.
Brand: SOLIDWORKS
Developing Useful Models for Mining-Related Research Projects: A Bottom-Up Approach
Solvay
Andrew Jackson
Business units in Solvay’s Technology Solutions share common themes and it is advantageous to consider how
modeling can be broadly applied to projects across the organization. Some frequent concerns in our research include:
• Adsorption energies of small molecules to surfaces
• Crystal growth modification
• Flotation reagents for efficient mineral processing
• Solubility constants and partition coefficients in highly caustic regimes
• Binding energies of small molecules to metal ions (using both QM and MM)
• Interfacial phenomena (oil/water)
This presentation will focus on crystal growth modification of gypsum as a way to improve the filtration step in
production of phosphoric acid.
Brand: BIOVIA
Combining Quantum Chemical Calculations with Vibrational Spectroscopies for Understanding
Reaction Mechanisms on Catalytic Surfaces
Stevens Institute of Technology
Simon Podkolzin
Heterogeneous catalysis is a critical component in the improvement of existing technologies and development of new
solutions in the chemical, petroleum, pharmaceutical and other industries. Combining quantum chemical calculations
with vibrational spectroscopies can provide molecular-level information on the structure of catalytic surfaces and
reaction pathways. The methodology will be illustrated with DFT calculations using DMol3 in Materials Studio and
experimental measurements using infrared, Raman and high resolution electron energy loss spectroscopies as well
as reaction kinetic measurements.
Brand: BIOVIA
Stratasys
Peter Secor
Stratasys manufactures 3D printing equipment and materials that create physical objects directly from digital
data. Its systems range from affordable desktop 3D printers to large, advanced 3D production systems. Additive
manufacturing technologies include FDM and PolyJet. Stratasys is the leader in developing versatile tools for
innovative applications. This presentation will deliver an overview of the Additive Manufacturing /3D Printing
Market and it’s evolution- exploring the solutions and benefits realized by using these tools in manufacturing,
entertainment, education, dental, automotive, aerospace and more.
Brand & Keywords: SIMULIA, 3D Printing, Additive Manufacturing
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T
Using Insight for Excel as a General Query Tool
Takeda
GabrielWeatherhead
Takeda Boston replaced Accord for Excel and delivered more than simple spreadsheet tools. The Pipeline Pilot
integration with Insight for Excel provided a whole new model for delivering the solutions scientists want right in
the tool they use the most. From basic real-time calculations to database lookups and structure formatting, Insight
for Excel is a worthy successor to Accord for Excel. This talk will discuss the planning and execution of an Insight for
Excel roll-out.
Brand: BIOVIA
Model Order Reduction Methods for Explicit FEM
Technische Universität München - Fachgebiet Computational Mechanics
Ali Cagatay Cobanoglua, Simon Mößnera, Majid Hojjatb and Fabian Duddecka
Abaqus/Explicit is a well established and widely used FEM solver for crash and pedes-trian safety simulations.
However, due to the large number of degrees of freedom, simulation time is still a limiting factor especially in
context of structural optimization. In typical crash simulations, a large portion of the model undergoes only elastic
deformation. Hence, model order reduction (MOR) methods can bring a significant decrease in the computational
time. While Abaqus/Standard already offers several reduction methods, MOR is currently not applicable for Abaqus/
Explicit. The purpose of this work is to enable MOR for explicit finite element models by use of superelements.
Reduced mass- and stiffness matrices are generated by Abaqus/Standard and transferred to the explicit solver
through a VUEL-subroutine. The method is applied successfully to low speed vehicle crash simulations. The achieved
results show a significant gain in computational time and underline the potential of MOR for Abaqus/Explicit.
Brand & Keywords: SIMULIA, Design Optimization, Optimization
Abaqus Scalability for Small and Medium Size Problems
TEN TECH LLC
William Villers
We will present and discuss the benefits of multi-CPU and GPU computing with real life application and comparative
results. While preparing an Abaqus pricing configuration for a customer, we wanted to have a clear view of how
much benefit GPU Computing in Abaqus 2016 would bring. The goal of the study was to make sure we delivered
the best bang for the buck in terms of solver execution speed to the customer. Unlike a lot of the benchmark data
published using enormous dynamics models, it was desired to create a more \down-to-earth\ one that would be
more representative of what customers could use Abaqus for. These published benchmarks are a great illustration
of the incredible scalability of Abaqus but is anything gained if there is not a 40M dof model with 2500 modes to
calculate? A relatively small model (3M dof) was put together and tested with both linear statics and non-linear
statics analysis with Abaqus 2016.
Brand & Keywords: SIMULIA, Cloud Computing, Contact & Impact Mechanics, Noise, Vibration & Acoustics
Numerical and Experimental Study on the High Strain Rate Deformation of Tubes for Perforating Gun
Applications
Tenaris Dalmine SpA
Davide Gallina, Mihaela Eliza Cristea, Riccardo Cavallet
The perforating guns are systems subjected to intense, impulsive pressure loading resulting from the detonation
of shaped charges loaded in the inner pipe. Upon detonation, the charges are responsible for different significant
damaging loading mechanisms such as during jet perforation, case fragment impact and explosive blast. It is usually
desired that a gun carrier tube survives the perforation event without excessive swelling, cracking, catastrophic
rupturing (i.e. splitting) or fragmentation. Its survivability is a major consideration in perforating system design and
manufacture. In this work, a numerical-experimental study aims to better understand the loading rate and damage
mechanisms involved on the carried tube, as well as the local deformation response of the full scale component when
loaded under real loads are presented. The numerical model is based on a multiple (three) shape charges analysis
fed by real tube and shape charges geometries as well as carrier tube material curve at high strain rate similar to the
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real event. An explicit multi-material Coupled Eulerian-Lagrangian (CEL) model that simulates the sequential shaped
charges detonation has been developed, the results in terms of local deformation of carrier tube has been then
compared with experimental data obtained from instrumented full scale tests.
Brand & Keywords: SIMULIA, Assemblies, Contact & Impact Mechanics, Dynamics & Shock, Material Modeling
The Journey to Meet P&G's Needs for Democratizing and Managing Simulation via the 3DEXPERIENCE
V+R Process Applications
Krista Comstock
Modeling and Simulation is a key enabler for driving Procter & Gamble’s superior brands and products. Modeling &
Simulation is “growing up” within the development processes. Before, modeling may have provided direction into
a final physical experiment which would be documented and used for a decision. Today, simulation is becoming
how we learn, as well as that final test from which key decisions are made. This brings with it the responsibility
that the data should be retained and documented in similar ways to how physical methods have been captured for
reproductibility. P&G also has a strategy to democratize simulation to non-experts through simplified interfaces and
apps. Singularly, these systems have been very costly to create and maintain. A scalable solution is required to make
this goal attainable. Any solution for P&G must consider our wide breath of simulation disciplines and global footprint
of users and experts. The ability to retrieve and reuse our models requires a federated solution. The journey to meet
these needs has centered on a partnership with SIMULIA to meet our Simulation Process & Data Management needs.
P&G went through an extensive process of gathering requirements and then partnered with SIMULIA for these to be
delivered within the 15x 3DEXPERIENCE platform. A platform is only half of the solution, driving adoption through
culture change & deployment strategies are equally important. This presentation will focus on the journey P&G has
traveling and the successes we are seeing as 15x 3DEXPERIENCE Process Applications is deployed.
Brand & Keywords: SIMULIA, Process Automation, Simulation Lifecycle Management
Modeling Natural Fracture Activation Using a Poro-elastic Fracture Intersection Model
The University of Texas at Austin
Mahdi Haddad, Kamy Sepehrnoori
Pre-existing natural fractures in a hydrocarbon reservoir complicate the hydraulic fracture growth and consequently,
the microseismic event interpretation. Due to the misalignment of the natural fractures with respect to the far-field
principal stresses, shear slippage is introduced as a failure mode or microseismic source along natural fractures.
This failure mode, however, leaves a concern about the connectivity of the induced fracture network in order to
enhance hydrocarbon production. A poro-elastic fracture intersection and propagation model can rigorously address
this concern.
Our numerical technique develops fracture intersections based on Pore-pressure Cohesive Zone Model (P-CZM) along
both hydraulic and natural fractures. This model honors the fracture tip effects in quasi-brittle shale and introduces
middle edge pore pressure nodes which are now hydraulically coupled at the intersection using additional simple
governing equations. The model also provides a reasonable solution for the slit flow in fractures, which is fully
coupled with continuum-based leak-off on the fracture walls along with poro-elastic effects within the porous media.
Moreover, a user-defined stability function along the natural fracture(s) distinguishes the potential regions for the
occurrence of microseisms.
Using this model, natural fracture opening and shear slippage are investigated depending on horizontal stress contrast,
adjoining fissure conductivity, and hydraulic-natural fracture intersection angle. Modeling results demonstrate the
complexities of hydraulic fracture growth through the intersection with natural fracture such as selective branching
and throttling at the intersection. Our fracturing simulations agree with the analytical criteria for fracture crossing or
arrest at the intersection.
WAimat Suite – Advanced Material Failure Modeling
Thornton Tomasetti Weidlinger Applied Science
Badri Hiriyur
We present WAimat Suite – a modular software suite developed by Thornton Tomasetti-Weidlinger Applied Science
(TT-WAS) to facilitate efficient, high fidelity advanced material modeling for industrial applications. WAimat was
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developed on the basis of fundamental research undertaken at the Weidlinger Applied Science practice of TT, in
support of several multi-year Office of Naval Research programs. These projects resulted in the formulation of
new types of constitutive models that combine the state of the art in applied science and engineering with the
computational efficiency necessary for industrial applications. Following a rigorous formulation and validation
process, these constitutive models were implemented into Abaqus/Explicit, and deployed as three modules:
WAidam, WAifire, and WAimc2. WAidam is a ductile-fracture prediction module which represents the cutting edge
in ductile-fracture mechanics for large-scale shell structures. WAidam features a three-invariant plasticity model that
accounts for dependence of the strain at fracture on both stress triaxiality and the third invariant of the deviatoric
stress, which has a significant influence on shear-dominated fracture. WAidam achieves high levels of accuracy in
fracture prediction while maintaining discretization levels and computational efforts that are realistic for structural
applications. WAifire is a thermomechanical constitutive module for predicting fire and other high temperature
effects on structures, including their residual capacity. It focuses on large-scale structures and their response to
transient dynamic loading conditions. WAifire was developed on the basis of a comprehensive viscoplasticity model
embedded in the shell mechanics framework. It is unique in its ability to represent both creep deformation and fast
dynamic response to impulsive loads, in contrast to empirical creep models. WAifire delivers a consistent approach to
assessing structural response to extreme thermomechanical loads with widely varying stresses, temperatures, and
strain rates. WAimc2 allows the user to calibrate the WAidam and WAifire models, as well as other commonly used
material models available in Abaqus/Explicit, to experimental test data. In addition to model calibration, WAimc2
serves as a data repository and an uncertainty quantification platform. Past, present, and future material fits can be
compared, uncertainty quantification metrics can be calculated, or the database can simply be used to organize a
library of material fits and associated test data.
Brand & Keywords: SIMULIA, Material Modeling, Ductile-Fracture Mechanics, Viscoplasticity, Creep Deformation
Private and Public Cloud High Performance Computing for CAE Simulation: Benefits and Challenges
TotalCAE
Rodney Mach
In this session you will learn how companies are taking advantage of the latest trends in High Performance
Computing to accelerate the SIMULIA portfolio including Abaqus, fe-safe, and Isight. Case studies will cover HPC
clusters, Remote Visualization, Cloud Computing, CAE backups in the Cloud, and other IT solutions that companies
are utilizing to make engineers more productive. The presentation will focus on customer case studies that show
real-world solutions to engineering challenge
Brand & Keywords: SIMULIA, HPC, Remove Visualization, Cloud Computing, IT Solutions
Z-set to Abaqus: Efficient Tools for Advanced Material Modeling, Damage Analysis and 3D Crack
Propagation Simulation
Tranvalor S.A.
Nikolay Osipov
Transvalor S.A. is a software and engineering services company, specializing in development and integration of
numerical simulation codes. Transvalor transfers research results, mainly software packages, from leading French
research institutions (MINES ParisTech and ONERA) to industry. Since 1996 Transvalor S.A. commercializes Z-mat
for Abaqus - a library of constitutive models for plasticity and viscoplasticity with robust integration methods and
advanced coefficient identification procedures. The actual package of integrated solutions provided by Transvalor
helps customers to solve challenges ranging from material modeling and parameters' calibration to fatigue life
estimation and 3D crack growth simulations. In the first part of the talk we will go through the presentation of the
Z-set products and its interfaces with Abaqus. In the second part some examples of application of our products for the
solution of industrial tasks in the field of thermomechanical fatigue will be presented. Particular focus will be given
to the 3D cracks propagation simulations.
Brand & Keywords: SIMULIA, Plasticity, Viscoplasticity, Crack Propagation
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U
Heavy Duty Structural Analysis using Abaqus in the Cloud
UberCloud
Wolfgang Gentzsch, Frank Ding
The UberCloud engineering cloud community started its life in July 2012, with its very first engineering cloud
experiment, which explored challenges and their resolution in the cloud. The end-user then was Frank Ding from
Simpson Strong-Tie (Simulating steel to concrete fastening capacity for an anchor bolt) who worked with cloud
provider, Nimbix, and software provider SIMULIA. In 2013, we introduced cloud mentors and repeated experiment
one, now as Team 47. There was no surprise that that this cloud experiment finished successfully within one month
compared to the three months of the first experiment. Since then, over 200 industry cloud experiments have been
performed.
Based on the experience gained from these experiments, we have developed novel software container technology
which enables easy packaging of software and easy access and use of containerized application software on
workstations, in-house servers, and on any in-cloud computing resources. Now, three years later, these cloud
experiments take less than a week and often finish within one day.
In this presentation, we will present this use case about simulating steel to concrete fastening capacity for an
anchor bolt in the cloud with Abaqus. We will highlight the novel software container technology and how this is
dramatically simplifying computing in private and public clouds and provide lessons learned and recommendations
for our engineering community.
Brand & Keywords: SIMULIA, Assemblies, Cloud Computing, Contact & Impact Mechanics, Design Optimization, High
Performance Computing, Material Modeling
Predicting and Designing Integrated Safety Syringe for Shelf Life Using Advanced Nonlinear
Constitutive Models in Abaqus
Unilife Medical Solutions
Dinesh Panneerselvam, Scott Russo, Jyoti Gupta
The Medical device industry is a highly regulated industry with patient safety being paramount. Ensuring the
highest quality and patient safety demands that the device performs as desired from the time it is manufactured,
through the shelf life of the product, and during use. Plastics used in medical devices can undergo degradation in
mechanical properties over time during the product shelf life depending on the design of the device. It is therefore
important to take this aspect of plastic behavior into account during material selection and device design. Plastics
under constant load for long periods of time exhibit creep deformations. Testing devices for creep can be a lengthy
process often leading to delay in design iterations to yield the optimum design and subsequently time to market.
Computational modeling and FEA simulations with advanced material models can predict material behavior with
a high degree of accuracy and can provide deep insights into how the device will perform over time resulting in
valuable feedback for design iterations and often reducing design iteration cycles. In this paper, the short term and
long term behavior of polycarbonate is modeled using hyperelastic-nonlinear viscoelastic model based on the parallel
rheological framework. Constitutive model is calibrated against uniaxial tension and long term creep test data, is used
to predict strain as a function of time in polycarbonate components of the Unifill Finesse™ Integrated Safety Syringe.
Model predictions are validated against long term real time as well as accelerated aging test data. Typically these
tests run for months. In summary, through this work, time consuming expensive design iterations through testing
were reduced to a few cycles with accurate modeling and material creep strain predictions making use of advanced
nonlinear constitutive models in Abaqus demonstrating how FEA simulations can be leveraged as an effective tool
in product development process to save time and cost and in bringing high quality products faster to the market.
Investigation on the Influence of Geometric Parameters of Rectangular Cross-Sections on Buckling
of the Structure
United Arab Emirates University
Neha Arieckal Jacob, Sangarappillai Sivaloganathan
The effect of cross-sectional parameters on the local buckling behavior of a rectangular hollow section (RHS) under
lateral compression is examined in this study through finite element modeling and optimization. The finite element
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model was first validated against experimental data. With good agreement observed between the experimental and
FEA results, the validated FEA model in Abaqus was used in conjunction with Isight to conduct an optimization
study and examine the influence of cross-section parameters on the buckling behavior of the section. Cross-sectional
parameters considered included the aspect ratio of the section, the thickness to width ratio of the web and the
thickness to width ratio of the flange. For a target buckling load and given definite ranges of the width, height, flange
thickness and web thickness, the best combination of parameters was arrived at using the optimization software
Isight.
Brand & Keywords: SIMULIA, Buckling & Collapse, Optimization
A Nonlinear Model for Studying the Interface’s Behavior Bloc/Mortar in a Heritage Building and
Numerical Modeling by Abaqus
Université Hassan 1er FSTS,
Hicham Fihri Fassi, A. Bentaybi, K . Elahrach, L.V.Parys
This research work follows our first work presented in Simulia 2015 [1] about the modeling the mortar-block
assembly for analyzing the potential occurrence of mechanical problems at interfaces as the consequence of an
eventual incompatibility. The study considers a heritage building located in Morocco. In this recent study the authors
test the effect of non linear behavior of materials and interface. The goal of the modeling works is to compare the
repartition of internal solicitations between the original situation and the restored one in order to quantify the risk, for
materials that should be conserved, associated with the œstress shieldingphenomenon and to justify the particular
attention to be paid for the choice of a specific mortar for interventions to be carried out on the concerned building.
An elastoplastic model including contact with friction is used. One concrete numerical example using Abaqus code
will be treated and showed on this paper.
[1] H. FIHRINFASSI and all; Study of mechanical compatibility at the mortar-block interface in a heritage building
and numerical modeling by Abaqus SIMULIA 2015.
Recent Advances in Composites Forming Simulation with User-Defined Material Models in Abaqus
University of Massachusetts Lowell
James Sherwood, Lisa M. Dangora, Kari D. White, Matteo J. Polcari
Thermoforming and automated fabric placement processes show promise for reducing the time and cost for the
manufacture of textile-reinforced composites. Simulating these processes can give insight into the manufacturability
of the composite structure for each option and guide the design of the process. Commonly used fishnet algorithms
offer a computationally efficient method for modeling. However, these algorithms are limited to modeling the
kinematics of the textile deformation. Therefore, they do not account for the mechanical behavior of the textile, and
thus, may not truly predict the final deformation state of the textile. The finite element method is an alternative for
simulating these manufacturing processes and has the advantage of including the mechanical behavior of the textile,
thereby allowing for investigating the relationship among changes in processing conditions and the resulting quality
of the part. This paper presents a finite element based methodology for simulating the behavior of textile reinforced
composites during the manufacturing process. The paper will start with an overview of the relatively simple tension,
compression, bending and shear characterization tests that are used to provide inputs to the model for capturing the
mechanical behavior of the textile. The ability of the model will be demonstrated (1) for the forming of a military
helmet from a thermoplastic fiber-reinforced thermoplastic matrix to predict the precipitation of defects and their
respective size and (2) for the simulation of automatic fabric placement in wind blade manufacturing for eliminating
the forming of out-of-plane waves.
Keywords: SIMULIA
Multi-Scale Modeling of Textile Reinforced Tissue Engineered Heart Valves
University of Massachusetts Lowell
Scott Stapleton, Deepanshu Sodhani, Varunraj Ramachandran, Ashish Sethi, Ricardo Moreira, Petra Mela,
Transcatheter aortic valve implantation of fibrin-based tissue engineered heart valves with a tubular leaflet construct
have been developed as an alternative to invasive traditional surgical heart valve implantation, but currently cannot
withstand pressures found in the aortic position. To increase valve strength, a PET textile reinforcement has been
introduced to the fibrin scaffold. However, care must be taken when using a textile reinforcement. Increasing
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reinforcement may increase the strength, but also increases stiffness which can interfere with the functionality of
the valve, prohibiting full valve closure. In order to predict the behavior of the valve, improve design, and eventually
optimize valve performance based by tailoring the textile reinforcement, a 4-tiered hierarchical multi-scale modeling
framework has been created. The model includes an individual fiber scale model, two textile-level models, and
a full heart valve model. Geometry generation based on microscopic images of the composite will be discussed,
along with application of boundary conditions and loading application. Fitting the various material models based on
homogenization of the smaller scale will be demonstrated. Finally, experimental validation and characterization at
various scales will be discussed.
Brand & Keywords: SIMULIA, Biological Modeling, Composites, Material Modeling
Finite Element Thermal Crack Analysis of Prestressed Double Tee Canopy Beam
University of Tennessee at Chattanooga
Weidong Wu, Tyler Haraway, Asritha Batchu, Ignatius Fomunung, Joseph Owino, Mbakisya Onyango,
Nonlinear Finite Element Analysis is performed to investigate the crack of a pre-stressed double tee canopy beam
due to thermal expansion. Concrete damage plasticity material model is employed to detect the potential crack of
concrete beam caused by thermal loads. The bond between pre-stressed strands and concrete is modeled by tie,
cohesive element and friction. Explicit modeling approach is selected due to the significant discontinuity in the threedimensional model. The potential crack pattern from FEA modeling indicates the actual crack as observed in the field
quite well.
High-velocity Impact Damage Modeling of Laminated Composites using Abaqus/Explicit
and Multiscale Methods
University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
Ivica Smojver, Darko Ivancevic
The present work describes a multiscale methodology which has been developed for modeling of impact damage
in the laminated composite structures. The methodology employs the High Fidelity Generalized Method of Cells
(HFGMC) micromechanical model for the prediction of the local stress and strain fields, within the representative
unit cell of the unidirectional composite material. The Mixed Mode Continuum Damage Mechanics (MMCDM) theory
has been utilized to model damage within the composite unit cell at the micromechanical level. The MMCDM theory
enables modeling of the microdamage nonlinearities at in-plane shear and transverse compressive loadings of the
composite plies. Employment of the multiscale approach enables the application of the MMCDM damage model in
structural analyzes.
Computations at the structural level have been performed using Abaqus/Explicit, whereas the link between the two
distinct scales has been established by the VUMAT subroutine. The method uses an adaptive approach in which
the micromechanical computations in the HFGMC-VUMAT subroutine have been called only at the material points
in which damage effects are to be expected. The Puck's ply-based failure theory has been applied as the criterion
initiating the micromechanical analyzes.
The methodology has been implemented in the high-velocity soft-body impact simulations at T300/914 CFRP
composite plates. Results of the multiscale damage model have been validated using available experimental data
and by comparison with the numerical results obtained using several ply level failure criteria and the Abaqus built-in
damage model for fiber-reinforced composites.
Brand & Keywords: SIMULIA, Composites, Contact & Impact Mechanics, Material Modeling
V
Annual QUCOMM Update
Vertex Pharmaceuticals
Daryn Berger
QUCOMM is the QUMAS Community (User Group) of users across all customers. It is a group formed and managed
entirely by users, including the QUCOMM Steering Committee (SC) which is elected from amongst the QUMAS users
to best represent its interests in communications with the QUMAS Management team. The QUCOMM SC meets,
virtually or in person, once a quarter. The QUCOMM Chair will provide the annual update on its activities and programs.
Brand: BIOVIA
94
Coupled Thermomechanical Forging Simulations and the Effect of Material Constitutive Laws
Veryst Engineering
Stuart Brown, Nagi Elabbasi, Eric Schmitt
Correct hot forming design relies on accurate prediction of forming loads, material deformation, and material
properties. This is particularly true for coupled thermomechanical analyses, where die/workpiece contact will change
local deformations and temperatures. These strains and thermal histories can change the material microstructures
and resulting product properties. This presentation examines the influence of different material and contact models
within a hot forging simulation and discusses the consequences on ultimate product performance. We use rateindependent plasticity and compare the results with the Anand viscoplastic model available within Abaqus. We also
use different contact conditions with varying pressure sensitivity for heat transfer. The simulations demonstrate that
constitutive model selection has a strong effect on the final predicted properties of the forging.
Brand & Keywords: SIMULIA, Manufacturing, Material Modeling
Sloshing Analysis of Baffled Containers Using SPH Method
Veryst Engineering
Alireza Kermani, Nagi Elabbasi
We used the smoothed particle hydrodynamics, SPH, approach in Abaqus/Explicit to simulate sloshing of a partially
filled container for a consumer product application. We investigated the effect of fill level and acceleration on sloshing.
Our results indicate that, for the severe impact conditions that we investigated, sloshing forces are proportional to the
mass of fluid and do not scale with acceleration. We also compared the response of the containers with and without
baffles and showed that the container we considered with conventional baffles experiences the lowest maximum
stress during sloshing.
In this work we used the smoothed particle hydrodynamics SPH approach in Abaqus/Explicit to simulate sloshing
of a partially filled container for a consumer product application. The simulation results show a significant difference
in the stresses in the container compared to an empty container, and also compared to an approximate method of
adding the fluid mass to a standard structural impact analysis. We also investigated the effect of several changes to
the internal structure of the container aimed at reducing the effect of fluid sloshing.
Brand & Keywords: SIMULIA, Contact & Impact Mechanics, Dynamics & Shock
Bond Model Development for Pretensioned Concrete Crossties with User Materials in Abaqus
Volpe National Transportation Systems Center
Hailing Yu, David Jeong
Pretensioned concrete crossties are increasingly employed in railroad heavy haul and high speed lines. The bond
between steel reinforcements and concrete affects several important performance measures of concrete ties, and
bond modeling is a critical component in the analysis of concrete tie behavior using the finite element (FE) method.
This paper summarizes the bond models developed at the Volpe Center for pretensioned concrete crossties and
their implementation as user materials for cohesive elements in Abaqus. The bond models are macro-scale or
phenomenological and developed within the elasto-plastic framework. The steel reinforcement-concrete interface
is homogenized and represented with a thin layer of cohesive elements sandwiched between steel and concrete
elements. Traction-displacement constitutive or bond relations are defined and assigned for the cohesive elements.
The traction components are normal and shear stresses, and the displacement components are interfacial dilatation
and slip. Elasto-plastic bond models for a smooth wire, three indented wires and a seven-wire strand commonly
used in concrete crosstie production are presented with their respective elastic stiffness, yield function and plastic
flow definitions. Calibration and validation of these bond models with experimental data are further described in this
paper.
Brand & Keywords: SIMULIA, Composites, Material Modeling
95
W
Load Measurement and Linear Dynamics with Wolf Star Technologies
Tim Hunter
Understanding and interpreting loads and linear dynamics results are challenges in most engineering problems.
Wolf Star Technologies will show theoretical background, examples and demonstration of their integrated solutions
for understanding loads and interpreting linear dynamic solutions. True-Load™ is the tool provided by Wolf Star
Technologies that turns components into their own load transducers. True-LDE™ is the post processing solution for
*MODAL DYNAMIC, *STEADY STATE DYNAMICS and *RANDOM RESPONSE solves which makes post processing
interactive and natural while reducing solution time and storage requirements by up to 90%. All of the Wolf Star
Technologies solutions are Abaqus/CAE plug-ins and have direct interface to fe-safe® which makes fatigue analysis
a natural part of the design evaluation cycle.
Brand & Keywords: SIMULIA, Linear Dynamic Solutions, Load, Post-Processing, Fatigue Analysis
96
INDEX
A
Abbvie 47
Amgen 47
Ariens 48
ASICS corporation 48
AstraZeneca 48
Astrix 48
ATA Engineering 49
Atomenergoproekt 49
Aventec Inc. 49
B
Baker Hughes 50, 51
Baxalta 51
Becton Dickinson 51
BETA CAE Systems S.A 51
Biogen 52
BIOMODEX 52
BIOVIA, Arnaiz, H., Unruh,
K. 53
BIOVIA, Bost, F., van Daelen,
T. 53
BIOVIA, Curran, D. 53
BIOVIA, DeAlmeida, D. 53
BIOVIA, DeJoannis, J. 54
BIOVIA, Doyle, M. 54
BIOVIA, Ecccles, N. 54
BIOVIA, Fiegland, L. 54, 55
BIOVIA, Forman, K. 55
BIOVIA, Froloff, N. 55, 56
BIOVIA, Frost, C. 56
BIOVIA, Honeycutt, D. 56
BIOVIA, Jansen, D. 57
BIOVIA, Lusczakoski, K. 57
BIOVIA, O'Brien, D. 57
BIOVIA, O'Leary, K. 57
BIOVIA, Quilligan, A. 58
BIOVIA, Raiche, K. 47
BIOVIA, Reynolds, N. 58
BIOVIA, Ruth, J., Unruh, K.
58
BIOVIA, Sage, M. 58
BIOVIA, Sefried, A. 58
BIOVIA, Spence, A. 59
BIOVIA, Stevens, A. 59
BIOVIA, Tetreault, G. 59
BIOVIA, Todd, S. 60
BIOVIA, Unruh, K. 60, 61
BIOVIA, van Daelen, T. 61
BIOVIA, Vasowalla, M. 52,
61
BIOVIA, Winslow, S. 61
BMW AG 62, 89
Bosch 62
Bristol-Myers Squibb 61, 62
C
I
T
Camso 62
Capvidia 63
CATIA 63, 64
C-FER Technologies 64
CISDI Engineering Co., Ltd.
64
Collaborations in Chemistry
65
Colorado School of Mines 65
Combustion Research and
Flow Technology, Inc. 65
Convergent Manufacturing
Technologies, Inc 66
Cornell University 66
Cradle North America Inc 66
Cray 67
CST 67
Illinois Institute of
Technology 76
Intel 76
Takeda 89
Technische Universität
München 89
Tenaris Dalmine SpA 89
TEN TECH LLC 89
The University of Texas at
Austin 90
Thornton Tomasetti
Weidlinger Applied
Science 90
TotalCAE 91
Tranvalor S.A. 91
D
Dana Holding Corporation
67
Dassault Systemes UK
Limited
John Draper 67
DfR Solutions 68
Digital Product Simulation
Inc. 68
Discngine 69
DuPont de Nemours 69
DuPont Performance
Materials 70
Durham University 70
E
Eaton Corporation 70
Eisai 70
Endurica 70
Eni S.p.A. 71
ENOVIA 71
EXALEAD 71
ExxonMobil 71
F
FCA Engineering India Pvt
Ltd 72
G
GE 73
General Motors 73
Gilead Sciences 73
Granta Design 73
Grupo Smarttech 74
GSK 74
H
Halliburton 74, 75
Harvard University 75
H.C.Starck 74
Hyundai Motor Company 75
L
LabAnswer 77
Lse Design Inc 77
M
Mechanical Design &
Analysis Corporation 77,
78
Mercedes Benz Research and
Development India 78
Missouri University of
Science and Tech 79
Motorola Mobility LLC 79
N
National University of
Singapore 79
Naval Undersea Warfare
Center 80
O
Optimal Device 80
P
Paradigm Geophysical 80
Perrigo 81
Pfizer 81, 82
Plastic Technologies, Inc. 82
PPD 82
PQ Corp 83
Principia 83
83, 90
Psylotech 84
Purdue University 84
U
UberCloud 92
Unilife Medical Solutions 92
United Arab Emirates
University 92
Université Hassan 1er FSTS
93
University of Massachusetts
Lowell 93
University of Tennessee at
Chattanooga 94
University of Zagreb 94
V
Vertex Pharmaceuticals 94
Veryst Engineering 95
Volpe National
Transportation Systems
Center 95
W
Wolf Star Technologies 96
Q
Quest Integrity Group 84, 85
R
Regeneron 85
RJ Reynolds 85
Roketsan Missile Ind. 86
S
Saba Metallurgical and Plant
Engineering Services, LLC
86
Saint Louis University 86
SGI 87
Simpleware 87
SOLIDWORKS 87, 88
Solvay 88
Stevens Institute of
Technology 88
Stratasys 88
97
BOSTON MARRIOTT COPLEY PLACE
Simmons
Tufts
Northeastern
Brandeis
THIRD FLOOR
Boston Univ.
Regis
Wellesley
Gloucester
Suffolk
Atrium
Dartmouth
Fairfield
Berkeley
Exeter
Clarendon
Harvard
Arlington
MIT
Provincetown
Nantucket
FOURTH FLOOR
Vineyard
Hyannis
Yarmouth
Salon B
Salon A
Salon K
Salon J
Falmouth
Orleans
Salon G
Salon F
Salon E
Registration &
Speaker Check-in
Ballroom Foyer
Salon I
Salon H
98
Salon D
Salon C
BOSTON MARRIOTT COPLEY PLACE
MAP KEY
Registration & Speaker Check-in (Registration Desk)
Meals (Gloucester & Third-Floor Atrium)
Customer Support (Provincetown, Floor 4)
Plenary (Salons F-G, Floor 4)
Exhibit Hall & 3DEXPERIENCE Playground (Salons A-E, Floor 4)
BREAKOUT SESSIONS AND OTHER OFFERINGS
BIOVIA Breakout Sessions (Floor 3)
SIMULIA Breakout Sessions (Floors 3 and 4)
Dassault Systèmes Brand Breakout Sessions (Nantucket, Floor 4)
SIMULIA Usability Testing (Brandeis, Floor 3)
SIMULIA Partner Demos (Orleans & Hyannis, Floor 4)
SIMULIA Academic Posters (Ballroom Foyer, Floor 4)
FIRST FLOOR
SECOND FLOOR
Boylston
Columbus II
Tremont
Columbus I
St. Botolph
99
GEOVIA
EXALEAD
CATIA
SOLIDWORKS
#3DEXPERIENCE
ENOVIA
©2016 Dassault Systèmes. All rights reserved. 3DEXPERIENCE®, the Compass icon, the 3DS logo, CATIA, SOLIDWORKS, ENOVIA, DELMIA, SIMULIA, GEOVIA, EXALEAD, 3D VIA, 3DSWYM, BIOVIA, NETVIBES,
IFWE, IN THE AGE OF EXPERIENCE™ and 3DEXCITE are trademarks of Dassault Systèmes or its subsidiaries. Use of these trademarks is subject to Dassault Systèmes or its subsidiaries express written approval.
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