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Template for the Preparation of Abstract
th
th16th Int. Symp on Appl. Laser Techniques to Fluid Mechanics, Lisbon, Portugal, July 09 – 12, 2012
16 16
Int.Int.
Symp
ononAppl.
Lisbon, Portugal,
Portugal,July
July0909– –12,12,
2012
Symp
Appl.Laser
LaserTechniques
Techniques to
to Fluid
Fluid Mechanics,
Mechanics, Lisbon,
2012
Digital
particle tracking
tracking
thermography
of individual
individual micro thermo-liquid
Digital particle tracking
thermography
of individual
non-encapsulated
Digital
particle
thermography
of
non-encapsulated
micro
thermo-liquid
crystals
using
a
multi-variable
calibration approach
non-encapsulatedcrystals
micro thermo-liquid
crystals using
a multi-variable
calibration
approach
using a multi-variable
calibration
approach
1,*
R. Segura1,*
, C. Cierpka11, M. Rossi11, S. Joseph22, H. Bunjes22, C. J. Kähler11
1,* , C. Cierpka
Segura
M.Rossi
Rossi1,,S.
S. Joseph
Joseph2,, H.
R. R.
Segura
, C. Cierpka1, ,M.
H. Bunjes
Bunjes2,,C.
C.J.J.Kähler
Kähler1
1: Institute of Fluid Mechanics and Aerodynamics, Bundeswehr University Munich, Neubiberg, Germany
1: Institute
of Fluid
Mechanicsand
andAerodynamics,
Aerodynamics, Bundeswehr
Bundeswehr University
Munich,
Neubiberg,
Germany
1:2:Institute
Mechanics
University
Munich,
Neubiberg,
Germany
InstituteofofFluid
Pharmaceutical
Technology,
Braunschweig University
of Technology,
Braunschweig,
Germany
2:
Institute
of
Pharmaceutical
Technology,
Braunschweig
University
of
Technology,
Braunschweig,
Germany
2: Institute of Pharmaceutical Technology,
Braunschweig
University of Technology, Braunschweig,
Germany
* Correspondent
author: [email protected]
Correspondentauthor:
author: [email protected]
[email protected]
* *Correspondent
Keywords: microfluidics, thermo-liquid crystals, TLC, thermography, non-encapsulated, multi-variable calibration
Keywords: microfluidics, thermo-liquid crystals, TLC, thermography, non-encapsulated, multi-variable calibration
Keywords: microfluidics, thermo-liquid crystals, TLC, thermography, non-encapsulated, multi-variable calibration
A measurement technique to evaluate the color response
A measurement technique to evaluate the color response
of measurement
non-encapsulated
thermochromic
liquid
crystal
(TLC)
A
technique
to evaluateliquid
the color
response
of
non-encapsulated
thermochromic
crystal
(TLC)
particles is presented.
Raw TLC liquid
materialcrystal
was used
to
of non-encapsulated
thermochromic
(TLC)
particles is presented. Raw TLC material was used to
fabricate
stable
non-encapsulated
TLC
particles
thatused
provide
particles
is
presented.
Raw
TLC
material
was
to
fabricate stable non-encapsulated TLC particles that provide
improved
particle
images compared
to their encapsulated
fabricate
stable
non-encapsulated
TLC particles
provide
improved
particle
images compared
to their that
encapsulated
counterparts
which
are
commercially
available
and widely
improved
particle
images
compared to available
their encapsulated
counterparts
which
are commercially
and widely
used for TLC thermography
research.
A multi-variable
counterparts
are commercially
available
and widely
used for which
TLC thermography
research.
A multi-variable
calibration approach, making use of all three HSI color
usedcalibration
for TLCapproach,
thermography
multi-variable
making research.
use of allA three
HSI color
components of digital color images was used to achieve low
components
of digital
color images
to achieve
low
calibration
approach,
making
use ofwas
allused
three
HSI color
uncertainty levels in the temperature estimation of individual
uncertainty
levels
incolor
the temperature
estimation
of individual
components
of
digital
images
was
used
to
achieve
low
particles, opening the door to simultaneous temperature and
particles,levels
opening
the temperature
door to simultaneous
temperature
and
uncertainty
in using
the
estimation
of individual
velocity tracking
3D velocimetry
techniques.
velocity
trackingthe
using
3Dtovelocimetry
techniques.
particles,
opening
door
simultaneous
temperature
and
All experiments were performed at the microfluidics
All
experiments
were
performedtechniques.
at the microfluidics
velocity
tracking
3D
velocimetry
laboratory
of using
the Bundeswehr
University Munich (Unibw)
laboratory
of
the
Bundeswehr
University
Munich
(Unibw)
All and
experiments
were performed
at the
microfluidics
the TLC particles
were produced
at the
Institute of
and
the
TLC
particles
were
produced
at
the
Institute
of
laboratory
of the Bundeswehr
Munich University
(Unibw)
Pharmaceutical
Technology ofUniversity
the Braunschwieg
Pharmaceutical Technology of the Braunschwieg University
and oftheTechnology
TLC particles
were Porous
produced
at (SPG)
the Institute
of
by Shirasu
Glass
membrane
of Technology by Shirasu Porous Glass (SPG) membrane
Pharmaceutical
Technology
of the
emulsification,
which allos
for Braunschwieg
the production University
of particles
emulsification, which allos for the production of particles
with narrow by
sizeShirasu
distributions
[1]. Glass (SPG) membrane
of Technology
Porous
with narrow size distributions [1].
Images ofwhich
the micro
TLC
particles
were acquired
with a
emulsification,
allos
for
the production
of particles
Images of the micro TLC particles
were acquired
with a
3CCD
color
camera
with a[1].
24-compounded dynamic range Fig.Fig.
with3CCD
narrow
size
distributions
1 3D
scatter
plot
of of
individual
1 3D
scatter
plot
individualparticles’
particles’HSI
HSIvalues
values
color camera with a 24-compounded dynamic range
Fig. 1 3D scatter plot of individual particles’ HSI values
(8-bit per
sensor).
A TLC
preprocessing
routine
was applied
in
Images
of
the
micro
particles
were
acquired
with
a
(8-bit per sensor). A preprocessing routine was applied in
order
to detect particles
with different color schemes,
3CCD
color
with a 24-compounded
range
order
to camera
detect particles
with different dynamic
color schemes,
consisting
of
a
grayscale
conversion
based on applied
a weighted
(8-bit
per sensor).
A preprocessing
routine
in
consisting
of a grayscale
conversion
basedwas
on a weighted
sum of RGB components,
vertical
and horizontal
gradient
order
particles with
different
color schemes,
sumtoofdetect
RGB components,
vertical
and horizontal
gradient
filters to identify the edges of the particles, and a
consisting
of aidentify
grayscale
on a weighted
filters to
the conversion
edges of based
the particles,
and a
segmentation filter to identify the particle nuclei over which
filter to identify
the particle
nuclei over
which
sumsegmentation
of RGB components,
vertical
and horizontal
gradient
the color HSI color values would be measured.
the color
HSI colorthe
values
wouldofbe the
measured.
filters
to
identify
edges
particles,
and
The data from thousands of individual particles aat
The data
thousands
of individual over
particles
segmentation
filterfrom
to identify
the particle
whichat
different temperatures,
plotted
in Figurenuclei
1, was evaluated
different
temperatures,
plotted be
in measured.
Figure 1, was evaluated
the color
HSI
color
values
would
fitted to a three-dimensional third degree polynomial in
fitted
to a from
three-dimensional of
third
degree polynomial
in
The
individual
particles
at
order data
to obtain a thousands
calibration function
to convert
the color
order
to
obtain
a
calibration
function
to
convert
the
color
different
temperatures,
plotted in Figure 1, was evaluated
information
to temperature.
information
to temperature. third degree polynomial in
fitted
toThea estimated
three-dimensional
temperatures for individual particles is
The
estimated
temperatures
for individual
particles
is
orderplotted
to
obtain
a calibration
function
to Figure
convert
the color
against
the real temperature
in
2 along
with
plotted against the real temperature in Figure 2 along with
information
to temperature.
the respective
95 % confidence interval uncertainty values.
the respective 95 % confidence interval uncertainty values.
It is clear
from the
figure that for
the calibration
The
estimated
temperatures
individual method
particlesworks
are
It is clear from the figure that the calibration method works
effectively
on
thereal
particle
image data,
thus allowing
forwith
the
plotted
against
the
temperature
in
Figure
2
along
effectively on the particle image data, thus allowing for the
Fig. 2 Calibrated temperature of individual particles with
precise evaluation
of the flow
temperature
at individual
Fig.
Calibrated
temperature
of individual
particles
Fig. 22Calibrated
temperature
of individual
particles
with with
the precise
respective
95
%
confidence
interval
uncertainty
values.
evaluation of the flow temperature at individual
uncertainty values for a 95 % confidence interval.
points
in
the
volume.
Furthermore,
this
approach
is
the
first
uncertainty
values
for
a
95
%
confidence
interval.
uncertainty
values
for
a
95
%
confidence
interval.
It ispoints
clear in
from
figureFurthermore,
that the calibration
method
works
the the
volume.
this approach
is the
first
Re ferences
realistically
usable
method
to track
the
temperature
of flow
Re ferences
effectively
on the
particle
image
data,the
thus
allowing for
the
realistically
usable
method
to track
temperature
of flow
tracers
with these levels
offlow
uncertainty.
The only
other
report
precise
evaluation
the of
temperature
at other
individual
tracers
with theseof
levels
uncertainty.
The only
report [1] Joscelyne SM and References
Trägårdh G (2000). Membrane
of intemperature
measurement
inthis
individual
tracers
was
SM and Trägårdh G (2000). Membrane
points
the
volume.
Furthermore,
approach
is
the
of temperature measurement in individual tracers first
was [1] Joscelyne
emulsification - a literature review. Journal of Membrane
written by Park et al. (2001) [2] where they reported [1] emulsification
- a literature
review. Journal
of Membrane
Joscelyne
SM
and Trägårdh
G (2000).
Membrane
realistically
usable
track [2]
the temperature
flow
written by
Parkmethod
et al. to
(2001)
where they of
reported
Science,
169:107–117.
uncertainty results twice as high as those obtained in this
Science,
169:107–117.
emulsification
a
literature
review.
Journal
of
tracers
with these
levels
of uncertainty.
other report
uncertainty
results
twice
as high as The
thoseonly
obtained
in this
[2] Park HG, Dabiri D, and Gharib M (2001). Digital
study, though the confidence interval is unknown, using a [2]
Park
HG, Dabiri
D, and
Gharib M (2001). Digital
Membrane
Science,
169:107–117.
though measurement
the confidence in
interval
is unknown,
using
a
of study,
temperature
individual
tracers
was
particle
image
velocimetry/thermometry
and
application
sophisticated neural network calibration approach in highly
imageDabiri
velocimetry/thermometry
and(2001).
application
HG,
D,circular
and Gharib
Digital
sophisticated
neural
network
calibration
approach
in highly [2] particle
written
byflow
Park
et al.
(2001)
[2] iswhere
they reported
toPark
the wake
of a heated
cylinder.MExperiments
in
seeded
where
particle
tracking
rather challenging.
to
the
wake
of
a
heated
circular
cylinder.
Experiments
in
seeded
flow
where
particle
tracking
is
rather
challenging.
particle
image
velocimetry/thermometry
and
application
uncertainty results twice as high as those obtained in this
Fluids, 30(3):327–338.
Fluids,
30(3):327–338.
to
the
wake
of
a
heated
circular
cylinder.
Experiments
in
study, though the confidence interval is unknown, using a
Fluids, 30(3):327–338.
sophisticated neural network calibration approach in highly
seeded flow where particle tracking is rather challenging.
1.6.2
1.6.2
1.6.2

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