University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 1
ANNUAL REPORT 2011UIUC, August 16, 2012
Pete Srisuk, Y. Wang, L. Hibbeler, BG Thomas
Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana-Champaign
Heat Transfer and Ideal Shrinkage for Soft Reduction Modeling
Phenomena governing macrosegregation / ideal soft reduction
• turbulent, transient fluid flow in a complex geometry (inlet nozzle and strand liquid pool), affected by argon gas bubbles, thermal and solutal buoyancies
• transport of superheat through the turbulent molten steel
• transport of solute on microscopic (between dendrites), mesoscopic (between grains, columnar-equiaxed regions, etc.) & macroscopic scales (center to surface)
• coupled segregation (including micro, meso, and macro scales)
• solidification of the steel shell, including the growth of dendrites, grains and microstructures, phase transformations, and microsegregation
• microstructure evolution, including columnar-equiaxed transition, nucleation of solid crystals, both in the melt and against mold walls
• shrinkage of the solidifying steel shell, due to thermal contraction, phase transformations, and internal stresses
• thermal-mechanical deformation of the mushy-zone, and its effective permeability, which control transport of solute-rich fluid
• stress in the solidifying shell, due to loading from external forces, (mold friction, bulging between support rolls, withdrawal, gravity pressure) thermal strains, creep, and plasticity (which varies with temperature, steel composition, and cooling rate)
• thermal-distortion, warping, misalignment, and wear of the support and drive rollsUniversity of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 2
Simple ideal soft-reduction model
1) 1-D Heat transfer model of entire strand (CON1D, validated with 1D and 2D ABAQUS)
2) 1-D & 2-D Thermo-mechanical models of free-shrinkage of solidifying shell, including the liquid
• Assume shell deforms exactly to match liquid shrinkage; avoiding fluid flow and also macrosegregation
3) 3-D thermal-mechanical model of shell in mushy zone (ignoring liquid), to calculate:soft-reduction efficiency = liquid-core reduction / surface reduction
accounts for: bulging of narrow faces, plastic strain, bulging of wide faces between rolls, etc.
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 3
Lagrangian Slice Model of Thermal Strain through Thickness
• Calibrate CON1D to match typical thick-slab caster• Heat flux time-history from CON1D as heat loads to Abaqus
– Independent inner and outer radius– Top and bottom edges insulated
• x-displacement fixed at centerline• Generalized plane strain finite elements (quad)• Generalized plane strain imposed in z-direction
– Fix top edge z-displacement– Constraint equations on bottom edge z-displacements
• No ferrostatic pressure
( )IRq t( )ORq t
230 mm
x
z
0.1 mm
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 4
inner radiusouterradius
2D Lagrangian Longitudinal Slice Model
=localt t
*local ct t z V= −
= −local ct t L V
*z
Leading edge
Trailing edge
( ) ( )*
1
0 0,
otherwiselocal
CON D local
tq z t
q t
<=
The heat flux time-history from CON1D is shifted to account for the finite domain thickness in the casting direction
• Independent inner and outer radius heat loads
• Assumes constant casting speed
230 mm
L=
600
mm
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Offsetto account for time lag
Baosteel Caster Simulation
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Heat Flux in the mold
In this case, heat flux based on the mold water temperature increase.
Thermal model (mold): Heat Flux boundary condition
Y. Wang, 2010
Heat transfer Coefficient in Secondary cooling zones
Secondary cooling zone includes four heat transfer methods: Radiation, spray, roll contact and convection.
Thermal model (spray zones): Convection boundary condition
Y. Wang, 2010
Temperature BC: heat transfer coefficient
Part ZOOM INY. Wang, 2010
Surface Heat Flux
• 1D
• 2D
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Slight variations only due to resolution of simulation
liquid mush δ γ γ & α α + Fe3Cδ & γ1518.6°C 1480.6°C 1438.6°C 1383.6°C 889.6°C 734.6°C
Temperatures indicate phase fractions
Temperature Profile Development
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Surface Temperatures
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•1D Abaqus Inner Radius•Con1D•2D Abaqus Inner Radius
Though there are slight variations, the simulation and Con1D output are close.
2D Surface Temperatures
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Different points along the 2D model in Abaqus exhibit ~same surface temperature histories (after offset to account for time lag).
•Inner Radius Top•Inner Radius Middle•Inner Radius Bottom
Shell Thickness Comparison
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14.91 m 22.05 m26.37 m
26.70 m
Differences between Con1D & Abaqus•Simple conduction in liquid in abaqus[vs. superheatflux method in Con1D]•Linear release of Latent Heat in Abaqus [vs. nonlinear in Con1D]
•1D Abq Liquidus•Con1D Liquidus•1D Abq Solidus•Con1D Solidus
1D & 2D Shell Comparison in Abaqus
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End of Mushy Zone1D: 26.37m2D Top: 26.92m2D Middle: 26.40m2D Bottom: 25.87m
Start of Mushy Zone1D: 14.91m2D Top: 15.26 m2D Middle: 14.72 m2D Bottom: 14.17m
•1D Abq Liquidus•2D Abq Liquidus•1D Abq Solidus•2D Abq Solidus
Mushy Zone Along Center
1D: 11.46 m2D Top: 11.66 m
2D Middle: 11.68 m2D Bottom: 11.70 m
liquid mush solid
Heat Flux at Center of 2D Slab
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 16
Axial heat flux is less than radial heatflux by more than one order of magnitude
SolidMush
Liquid
1.4% 1.2%
2.6%10% 10%
•Axial Heat FluxRadial Heat Flux
Axial Heat Flux
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 17
HFaxial=0.345 kW/m2HFaxial=0.195 kW/m2
Heat Flux Through Width
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Distance Below Meniscus•0.766974 m (Mold Exit)•14.92866 m (Liquid/Mush)•19.83 m (Mushy Zone)•26.37802 m (Mush/Solid)
(Middle of 2D Domain)
• In solid shell, Axial Heat Flux is always less than 1% of the Radial heat flux
• 2D domains valid for thermal model because axial heat conduction can be neglected
• Transverse cross-section
• Quarter Slice utilizing symmetry through width and thickness
• Boundaries:
– Thermal: insulated central axes
– Mechanical: No displacement of central axes
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Nar
row
Fac
e
Wide Face
Center
h=
115
mm
h = 725 mm
( ) ( )1
0 00WF
CON D
tq t
q t t
<= ≥( ) ( )
4 4
0 00.85 28.235 0
( ) 28.235WFNF
steel s air
t
q t s tq t
T T t sε σ
< > ≥= − >0.8steelε ≈
2D LagrangianTransverse Domain
Only radiative heat transfer is applied to narrow face after mold exit
σ = 5.67×10−8 W/(m−2K−4)
Mesh Geometry
• 362 x 57 generalized plane-strain elements; approx. 2x2mm each
• Liquid region has 5 lines of 27 uncoupled elements each to allow liquid elements to expand and overlap to mimic the flow of liquid out of liquid pool domain
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 20
200mm200mm200mm200mm200mm
Overlapping elements in liquid pool
y
x
Applied Heat Fluxes
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 21
• Applied constantly across wide face• Secondary cooling zone includes radiation, spray, conduction through roll contact and convection
Hea
t Flu
x T
hrou
gh S
urfa
ce (
kW/m
2 )
Distance Below Meniscus (m)
• Wide Face• Narrow Face
Mold
Spray Zones
Surface Temperatures
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 22
Distance Below Meniscus (m)
Tem
pera
ture
(⁰C
)
• Longitudinal Surface• Transverse Wide Face center• Transverse Narrow Face center
Close Agreement between different domains at center of Wide Face
Temperature Development
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Spray Zone100s, 2.83m
Mushy Zone740s, 21.0m
Solidification End932s, 26.4m
Liquid Pool End532s, 15.1m
Red = LiquidOrange = Mush
Longitudinal and TransverseShell Comparison in Abaqus
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 24
End of Mushy Zone1D: 26.37m2D Longitudinal: 26.40m2D Transverse: 26.35m
Start of Mushy Zone1D: 14.91m2D Longitudinal: 14.72 m2D Transverse: 15.11m
•1D Abq Liquidus•1D Abq Solidus•Longitudinal Liquidus•Longitudinal Solidus•Transverse Liquidus•Transverse Solidus
Mushy Zone Along Center
1D: 11.46 m2D Longitudinal: 11.68 m2D Transverse: 11.20m
liquid mush solid
Thermal-Elastic-Plastic Stress Analysis(Temperature-Dependent Property Data in Abaqus)
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 25
950
1100120014001500
Plastic Stress (Pa) Plastic Strain
Temperature (C)
2.00E+07 0 950
5.00E+07 0.05 950
1.27E+07 0 1100
2.77E+07 0.05 1100
1.00E+07 0 1200
1.75E+07 0.05 1200
3.00E+06 0 1400
1.30E+07 0.05 1400
5.00E+05 0 1500
1.00E+06 0.05 1500
Yield Stress versus Plastic Strain dataFor Elastic-Thermal-Plastic Analysis in Abaqus
Elastic Modulus (Temperature-Dependent Property Data in Abaqus)
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 26
Young's Modulus (Pa) Temperature (C)
3.20E+10 900
1.96E+10 1000
1.40E+10 1100
1.22E+10 1200
1.11E+10 1300
7.51E+09 1400
3.75E+09 1500
Poisson Ratio = 0.3
Thermal Expansion Coefficient
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 27
0.00E+00
1.00E-05
2.00E-05
3.00E-05
4.00E-05
5.00E-05
6.00E-05
7.00E-05
0 200 400 600 800 1000 1200 1400 1600 1800
Co
effi
cien
t o
f T
her
mal
Exp
ansi
on
α
Temperature (⁰C)
Coefficient of Thermal Expansion
Zoom Here (Next Slide)
Reference Temp.= 1369.2 ⁰C
Variations in α
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1.40E-05
1.60E-05
1.80E-05
2.00E-05
2.20E-05
2.40E-05
500 550 600 650 700 750 800 850 900 950 1000
Co
effi
cien
t o
f T
her
mal
Exp
ansi
on
α(1
/K)
Temperature (⁰C)
Coefficient of Thermal Expansion
•Con1D•Smoothed
Values
Reference Temp.= 1369.2 ⁰C
Local wiggles in thermal expansion coefficient have likely caused convergence trouble in previous simulations. A smoothed line avoids problems in abaqus.
Deformation
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 29
Spray Zone100s, 2.83m
Mushy Zone740s, 21.0m
Liquid Pool End532s, 15.1m
Red = LiquidOrange = Mush
Solidification End932s, 26.4m
Deformation Scale Factor=10
Displacement of Surface
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 30
Liquid Mush
Solid
•1D Shrinkage Profile• 2D Solid Shrinkage of WF (Between center & NF)• 2D Solid Shell Shrinkage Profile of WF (Center)• 2D Solid Shell Shrinkage of NF• Surface Temperature (Right Axis)
Ideal surface shape of 2D Wide Face = Machine taper / soft reduction profile
Dis
plac
emen
t of S
urfa
ce (
mm
)Tem
perature (⁰C)
Shell Shrinkage After Mold Exit
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 31
Distance Below Meniscus (m)
Dis
plac
emen
t of S
urfa
ce a
t Cen
ter
of W
ide
Fac
e (m
m)
(1.41m ,- 0.80mm)
(1.82m, -1.30mm)
0.41m
-0.5mm
• Accounting for both sides, shrinkage profile is -2.44mm/m
0.50 -1.22mm/m0.41
mmshrinkage
m
−= =
Shell Shrinkage in Mushy Zone
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 32
Distance Below Meniscus (m)
Dis
plac
emen
t of S
urfa
ce a
t Cen
ter
of W
ide
Fac
e (m
m)
(18.0m , -0.255mm)
(20.0m, -0.738mm)
• Accounting for both sides, shrinkage profile is between -0.48 and -0.58 mm/m in mushy zone
0.483 -0.2415mm/m2.00
mm
m
− =
Solidification End
0.68 -0.291mm/m2.34
mm
m
− =
(22.3m , -1.33mm)
(24.6m, -2.01mm)
Conclusion
• Rapid fluctuations in material properties may cause convergence problems in simulations
• One-dimensional simulation matches two-dimensional for high-Pe thermal problems
• Axial heat transfer is 100X smaller than radial heat flux near surface, but only 10X smaller in the liquid and solid center where temperature gradients are very small.
• Accelerated shrinkage occurs after liquid pool depth, before final solidification (in the mushy zone)
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 33
Future Work
• Two Dimensional Mechanical Model
– Rollers modeled
– Proper bending and rotation
– Thorough stress analysis
• Three Dimensional thermal-mechanical model of shell in mushy zone (ignoring liquid)
Calculating Soft Reduction Efficiency to account for NF Bulging, WF Bulging, and plasticity effects
• Analysis of liquid strain to determine volume displacement of liquid pool
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 34
University of Illinois at Urbana-Champaign • Mechanical Science & Engineering • Metals Processing Simulation Lab • Pete Srisuk • 35
Acknowledgements
• Continuous Casting Consortium Members(ABB, Arcelor-Mittal, Baosteel, Tata Steel, Magnesita Refractories, Nucor Steel, Nippon Steel, Postech, Posco, SSAB, ANSYS-Fluent)
• YingChun Wang, Baosteel
• Lance Hibbeler, UIUC
• Brian Thomas, UIUC