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Application of Bezier splines Application of Bezier splines and sensitivity analysis and sensitivity analysis
in inverse geometry in inverse geometry and boundary problemsand boundary problems
Iwona NOWAK*, Andrzej J. NOWAK*** Institute of Mathematics, ** Institute of Thermal Technology,Technical University of Silesia, Gliwice, Poland.
Inverse Problems in Engineering SymposiumInverse Problems in Engineering SymposiumTuscaloosa, June 2003Tuscaloosa, June 2003
Scope of the PresentationScope of the Presentation
• Problem formulation• Solution procedure - sensitivity analysis for geometry and boundary problems• Numerical results• Conclusions
ContinuousContinuous castingcasting
mould
water spraysolid
liquid
vx
solid
liquid
vx
x
y
F
A B
C
D
EO
Problem FormulationProblem Formulation
solid
liquid
x
y
F
A B
C
D
EO
012
xT
va
T xr 012
xT
va
T xr
FCph
EOs
DEs
CD
TT
TT
TThnT
qnT
rr
rr
r
r
,)(
,
,
,
FCph
EOs
DEs
CD
TT
TT
TThnT
qnT
rr
rr
r
r
,)(
,
,
,
IiUT ii ,,1, r IiUT ii ,,1, r
General Solution StrategyGeneral Solution Strategy
make boundary problem well-posed
solve direct problem
modify assumed datasensitivity coefficients
FDMFEMBEM
best matching
Sensitivity CoefficientSensitivity Coefficient
imeasurement
jestimated value
j
j jj
ii iY Y
Y
TT T
* *
j
j jj
ii iY Y
Y
TT T
* *
** YYZTT ** YYZTT
YT
ZYT
Zij
i
j
Main Set of EquationsMain Set of Equations
** YYZTT ** YYZTT
YWYZWZ
TUWZYWZWZ~1*1T
*1T11T
Y
min
~~ 1T
1T
YYWYY
UTWUT
Y
min
~~ 1T
1T
YYWYY
UTWUT
Y
Solution AlgorithmSolution Algorithm
direct problem formulation-assumption of vector
Y*=[y1*,..., yn*, q1*,..., qm*]„freezing”
of heat fluxes
geometry problem- iterative solution
„freezing” offront location
boundary problem- single step
convergence check
end of calculations
Sensitivity Analysis - Boundary PartSensitivity Analysis - Boundary Part
012
xZ
va
Z xr 012
xZ
va
Z xr
solid
liquid
vx
x
y
F
A B
C
D
EO
EO
FC
Z
Z
rr
rr
,0
,0 EO
FC
Z
Z
rr
rr
,0
,0
CDEjj Yxf
nZ
Yq
rr
,)()( CDE
jj Yxf
nZ
Yq
rr
,)()(
jDYD
CDExfnT
q rr ),()( CDExfnT
q rr ),()(
Sensitivity Analysis –Geometry PartSensitivity Analysis –Geometry Part
012
xZ
va
Z xr 012
xZ
va
Z xr
solid
liquid
vx
x
y
F
A B
C
D
EO
EO
DE
CD
Z
ZhnZnZ
rr
r
r
,0
,
,0
EO
DE
CD
Z
ZhnZnZ
rr
r
r
,0
,
,0
Sensitivity Analysis –Geometry PartSensitivity Analysis –Geometry Part
phTyxT ),( phTyxT ),(
jj
nj Y
yYxq
Z
sincos
jj
nj Y
yYxq
Z
sincos
jDYD
V0
V1
V2
V3
u
u u
V01
V11
V21
u
u
V02
V12
V03 = P(u)
u
Bezier Spline
Nowak I., Nowak A.J, Wrobel L.C: Identification of Phase Change Front by Bezier Splines and BEM, International Journal of Thermal Sciences, vol.41 (2002) Elsevier Science, pp.492-499
Sensor LocationSensor Locationss
geometry part- iterative solution
boundary part- single step
solid
liquid
x
y
F
A B
C
D
EO
all sensors are used
all sensors are used
Numerical ResultsNumerical Results
measurements error : 0.1%number of sensors : 35
0 0.2 0.4 0.6x
0
0.02
0.04
0.06
0.08
0.1
yExact Position
S tart Position
after Lum ping
1 loop
2 loop
3 loop
0 0.2 0.4 0.6 0.8 1x
-5.0E+006
-4.0E+006
-3.0E+006
-2.0E+006
-1.0E+006
0.0E+000
q [W
/m^2
]phase change front location
heat flux distribution
Numerical ResultsNumerical Results
measurements error : 0.1%number of sensors : 35
0
10
20
30
40
ave
rag
e e
rro
r [%
]
tem p. in sensor poin ts
tem p a long boundary heat flux
1.53 %3.06 %
36.51 %
0 20 40 60 80 100n o d e n u m b e r
1030
1040
1050
1060
1070
1080
1090
T [°
C] tem perature a long
tracked boundary
exact tem perature
Sensor LocationSensor Locationss
geometry part- iterative solution
boundary part- single step
solid
liquid
x
y
F
A B
C
D
EO
geometry sensors are used
geometry sensors are used
Numerical ResultsNumerical Results
phase change front location
0 0.2 0.4 0.6x
0
0.02
0.04
0.06
0.08
0.1
yExact Position
S tart Position
after Lum ping
1 loop
2 loop
3 loop
0 0.2 0.4 0.6 0.8 1x
-4.0E+006
-3.0E+006
-2.0E+006
-1.0E+006
0.0E+000
q [W
/m^2
]
heat flux distribution
measurements error : 0.1%number of sensors : 35sensors separated
Numerical ResultsNumerical Results
measurements error : 0.1%number of sensors : 35sensors separated
0
1
2
3
ave
rag
e e
rro
r [%
]
tem p. in sensor poin ts
tem p a long boundary heat flux
0.086 %0.344 %
2.86 %
0 20 40 60 80 100n o d e n u m b e r
1050
1060
1070
1080
1090
T [°
C] tem perature a long
tracked boundary
exact tem perature
Numerical ResultsNumerical Results
phase change front location
heat flux distribution
measurements error : 2.0 %number of sensors : 35sensors separated
0 0.2 0.4 0.6 0.8 1x
-4.0E+006
-3.0E+006
-2.0E+006
-1.0E+006
0.0E+000
q [W
/m^2
]
0 0.2 0.4 0.6x
0
0.02
0.04
0.06
0.08
0.1
yExact Position
S tart Position
after Lum ping
1 loop
2 loop
3 loop
Numerical ResultsNumerical Results
measurements error : 2.0%number of sensors : 35sensors separated
0 20 40 60 80 100n o d e n u m b e r
1068
1072
1076
1080
1084
T [°
C] tem perature a long
tracked boundary
exact tem perature
0
1
2
3
4
ave
rag
e e
rro
r [%
]
tem p. in sensor poin ts
tem p a long boundary heat flux
0.136 %
0.499 %
3.52 %
Experiment Experiment
Drezet J.-M., Rappaz M., Grun G.-U.,Gremaud M., Determination of Thermophysical Properties and Boundary Conditions of Direct Chill-Cast Aluminium Alloys Using Inverse Methods, Metallurgical and Materials Transactions A, vol.31A, June 2000, pp.1627--1634
v x
m ou ld
con tro l beads
L-rod w ith 5 the rm ocoup les
sym
me
try
axi
s
l iqu id
so lid
Numerical ResultsNumerical Results
0.07 0.08 0.09 0.1 0.11 0.12 0.13
200
300
400
500
600
Thermocouple locationbelow the surface
5 mm10 mm15 mm20 mm
Tem
pera
ture
x
Measured and predicted temperature in sensor locations
Numerical ResultsNumerical Results
Heat flux distribution along the surface
0 0.4 0.8 1.2 1.6 2
X
-5E+006
-4E+006
-3E+006
-2E+006
-1E+006
0
computationsobtained by Drezet
0 0.04 0.08 0.12
X
-5E+006
-4E+006
-3E+006
-2E+006
-1E+006
0
Hea
t Flu
x
Hea
t Flu
x
Numerical ResultsNumerical Results
Temperature distribution along the surface
0 0.4 0.8 1.2 1.6 2
X
0
200
400
600
800
measurementcalculations
0 0.04 0.08 0.12
X
0
200
400
600
800
Tem
pera
ture
Tem
pera
ture
Numerical ResultsNumerical Results
Front Location
0 0.2 0.4 0.6X
0
0.1
0.2
0.3
Y
0 0.02 0.04 0.06 0.08 0.1X
0.22
0.23
0.24
0.25
0.26
Y
ConclusionsConclusions
• BEM based algorithms for solving inverse boundary and geometry problems
• application of Bézier function and sensitivity coefficients
• stabile results does not provide accurate solution
• sensors separation permits to obtain encouraging results even with experimental measurements