LMS Engineering services - Balance road noise and vehicle

Transcription

LMS Engineering services - Balance road noise and vehicle
Siemens PLM Software
LMS Engineering services
Balance road noise and vehicle handling
Simultaneously analyzing NVH and vehicle handling to identify optimal chassis
and body design
Benefits
• Save resources and time
by integrating customary
and contradictory
approaches in a unified
engineering method
Summary
LMS™ Engineering services employ an
integrated simulation approach to optimally balance noise, vibration and harshness (NVH) with vehicle handling during
body design.
• Understand how body
stiffness influences NVH
and vehicle handling
characteristics by applying
modifications in an
optimization loop
Automotive engineers must consider
several handling aspects while designing a
vehicle, such as drivability, stability, agility
and control. At the same time, a good
design will result in enjoyable ride comfort
and low road noise levels. Finding the right
balance between these often-conflicting
functional performance characteristics can
be a real engineering challenge in which
body stiffness plays a crucial role. Multiattribute balancing includes optimization of
NVH and vehicle handling performance in
an integrated simulation approach. By
employing innovative body stiffness
simulation methodologies, mounts and
• Find a solution that
optimizes NVH and vehicle
handling using computeraided engineering
• Provide a common
evaluation method to
identify necessary
compromises across
attribute teams
bushings can be optimized for both attributes at the same time in a comprehensive
process.
Multi-attribute balancing for road noise and
vehicle handling starts by creating a finite
element model (FEM) of the body. This will
be transformed into an equivalent body
concept model, which can be employed to
handle both characteristics simultaneously.
This is in contrast to the customary
approach, which addresses these characteristics in separate engineering processes,
leading to contradictory solutions.
Including the body concept model in a full
vehicle road noise model with suspension
and trim and a full vehicle multibody
handling model facilitates fast simulation
loops for both attributes. By coupling
parameters in both models and executing a
large number of simulations, the optimal
design can be found.
www.siemens.com/plm/lms
LMS
LMS Engineering services
Balance road noise and vehicle handling
A typical multi-attribute balancing project
for NVH and vehicle handling is comprised
of the following phases:
Creating the body model
First, LMS Engineering experts create the
detailed FEM model and use it as the basis
to build a reduced fast-running model that
produces exactly the same global structural
modes. This body concept model is created
by dividing the structure into functional
components such as beams and joints,
and combining them with a modal system
representation. Structural members with
length significantly greater than the
cross-section area (such as pillars and
cross members) are modeled with beam
elements, the joints between them with
static superelements and the rest of the
structure by a modal model.
Body concept model.
Full finite element model.
Parallel road noise and vehicle
handling analysis
The body concept model is included in a
full vehicle multibody model for handling,
and a full-vehicle model for road noise
that has suspension and trim. While LMS
Engineering experts fine-tune the handling
model, the road-noise model automatically
adapts. The efficiency of this solution
allows for the evaluation of over a 1,000
variants in a single loop for optimizing
both attributes at the same time.
Multi-attribute optimization
Finally, the optimized body stiffness is
used as input for body design modification.
This yields a new body model, which can
be used to conduct repeated analyses until
the desired performance is achieved.
Further optimization can still include
mounts and bushings as well.
Contact
Siemens PLM Software
Americas
+1 248 952 5664
Europe
+32 16 384 200
Asia-Pacific +852 2230 3308
www.siemens.com/plm
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