Upload
letuyen
View
212
Download
0
Embed Size (px)
Citation preview
ANNUAL REPORT 2011ANNUAL REPORT 2011UIUC, August 18, 2011
Preliminary Model of Ideal Soft Reduction
Pete Srisuk, Y. Wang, L. Hibbeler, BG Thomas
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 1
Department of Mechanical Science and EngineeringUniversity of Illinois at Urbana-Champaign
Phenomena governing macrosegregation / ideal soft reductiong g
• 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 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)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 ofmicrostructure 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, b l i b t t ll ithd l it ) th l t ibulging 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, lid t d ith 1D d 2D ABAQUS)validated with 1D and 2D ABAQUS)
2) 1-D Thermal stress model of free-shrinkage of solidifying shell including the liquid phasesolidifying shell, including the liquid phase
• assume shell deforms exactly to match liquid shrinkage, so generates no fluid flow, thus avoids segregationg , g g
3) 3-D thermal-mechanical model of shell in mushy zone (ignoring liquid), to calculate:( g g q )soft-reduction efficiency = liquid-core reduction / surface reduction
accounts for: bulging of narrow faces plastic strainbulging 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 stress through thicknessstress 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-directionGeneralized plane strain imposed in z direction
– Fix top edge z-displacement– Constraint equations on bottom edge z-displacements
• No ferrostatic pressureNo ferrostatic pressure
( )IRq t( )ORq t x
z
230 mm 0.1 mm
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 4
inner radiusouterradius
2D Lagrangian Slice Model
= −local ct t L V Trailing edge
* V
local c g g
( )* 0 0l lt <mm
Offsetto account for time lag
local ct t z V= −
*z
( ) ( )*
1
0 0,
otherwiselocal
CON D local
tq z t
q t<
=
L=
600
=localt t Leading edge
230 mm
The heat flux time-history from CON1D is shifted to account for the finite domain thickness in the casting direction
230 mm
• Independent inner and outer radius heat loads
• Assumes constant casting speed
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 5
Baosteel Caster Simulation
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 6
Thermal model (mold): Heat Flux boundary conditioneat u bou da y co d t o
Heat Flux in the moldHeat Flux in the mold
In this case, heat flux based on the mold water temperature increase.
Y. Wang, 2010
Thermal model (spray zones): Convection boundary conditionCo ect o bou da y co d t o
Heat transfer Coefficient in Secondary cooling zones
Secondary cooling zone includes four heat transfer methods: Radiation, spray, roll contact and convection.
Y. Wang, 2010
Temperature BC: heat transfer coefficient
Part ZOOM INY. Wang, 2010
Surface Heat Flux
Slight variations only
• 1D
Slight variations only due to resolution of simulation
• 2D
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 10
Temperature Profile Development
Temperatures indicate phase fractions
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
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 11
Surface Temperatures
1D Ab I R di•1D Abaqus Inner Radius•Con1D•2D Abaqus Inner Radius
Though there are slight variations, the simulation and Con1D output are close.
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 12
2D Surface Temperatures
Different points along the 2D model in Abaqus hibit f t t hi t iexhibit ~same surface temperature histories
(after offset to account for time lag).
•Inner Radius Top•Inner Radius Middle•Inner Radius Bottom
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 13
Shell Thickness Comparison14.91 m 22.05 m
26.37 m
26.70 m
•1D Abq Liquidus•Con1D Liquidus•1D Abq Solidus•1D Abq Solidus•Con1D Solidus
Differences between Con1D & Abaqus•Simple conduction in liquid in abaqus[vs. superheatflux method in Con1D]•Linear release of Latent Heat in Abaqus•Linear release of Latent Heat in Abaqus [vs. nonlinear in Con1D]
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 14
1D & 2D Shell Comparison in Abaqus
liquid mush solid
•1D Abq Liquidus•2D Abq Liquidus•1D Abq Solidus•2D Abq Solidus
Mushy Zone Along Center
End of Mushy Zone1D: 26.37m2D Top: 26 92m
Start of Mushy Zone1D: 14.91m2D Top: 15 26 m
1D: 11.46 m2D Top: 11.66 m
2D Middle: 11.68 m2D Bottom: 11.70 m
2D Top: 26.92m2D Middle: 26.40m2D Bottom: 25.87m
2D Top: 15.26 m2D Middle: 14.72 m2D Bottom: 14.17m
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 15
Heat Flux at Center of 2D Slab
Axial heat flux is less than radial heatflux by more than one order of magnitude
SolidMush
Liquid
R di l H t Fl
2.6%10% 10%
•Radial Heat FluxAxial Heat Flux
1.4% 1.2%
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 16
Axial Heat FluxHFaxial=0.345 kW/m2HFaxial=0.195 kW/m2
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 17
Heat Flux Through Width
(Middle of 2D Domain)
Distance Below Meniscus•0.766974 m (Mold Exit)•14 92866 m (Liquid/Mush)•14.92866 m (Liquid/Mush)•19.83 m (Mushy Zone)•26.37802 m (Mush/Solid)
In solid shell, Axial Heat Flux is always less than 1% of the Radial heat flux
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 18
Thermal-Elastic-Plastic Stress Analysis(Temperature-Dependent Property Data in Abaqus)
Yield Stress versus Plastic Strain dataFor Elastic Thermal Plastic Analysis in Abaqus
950
Plastic Stress (Pa) Plastic Strain
Temperature (C)
2.00E+07 0 950
5 00E+07 0 05 950
For Elastic-Thermal-Plastic Analysis in Abaqus
11001200
5.00E+07 0.05 950
1.27E+07 0 1100
2.77E+07 0.05 1100
1.00E+07 0 1200120014001500
1.75E+07 0.05 1200
3.00E+06 0 1400
1.30E+07 0.05 1400
5 00E+05 0 15005.00E+05 0 1500
1.00E+06 0.05 1500
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 19
Elastic Modulus (Temperature-Dependent Property Data in Abaqus)(Temperature Dependent Property Data in Abaqus)
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 14007.51E+09 1400
3.75E+09 1500
Poisson Ratio = 0 3
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 20
Poisson Ratio = 0.3
Thermal Expansion Coefficient
7.00E-05
αCoefficient of Thermal Expansion
6.00E-05
pan
sio
n α
4.00E-05
5.00E-05
erm
al E
xp
Zoom Here (Next Slide)
2.00E-05
3.00E-05
ent
of
Th
e oo e e ( e S de)
Reference Temp = 1369 2 ⁰C
0.00E+00
1.00E-05
0 200 400 600 800 1000 1200 1400 1600 1800
Co
effi
cie Reference Temp.= 1369.2 C
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 21
0 200 400 600 800 1000 1200 1400 1600 1800
Temperature (⁰C)
Variations in α
2.40E-05
α
Coefficient of Thermal Expansion
2.20E-05
2.40E 05
pan
sio
n α
Local wiggles in thermal expansion coefficient have likely caused convergence trouble in
2.00E-05
erm
al E
xp
/K)
Reference Temp.= 1369.2 ⁰C
caused convergence trouble in previous simulations. A smoothed line avoids problems in abaqus.
1.80E-05
ent
of
Th
e(1
/
•Con1D•Smoothed
p
1.40E-05
1.60E-05
Co
effi
cie
Values
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 22
500 550 600 650 700 750 800 850 900 950 1000
Temperature (⁰C)
Displacement of Surface
Liquid volume shrinkage in axial and width directions caused by shell shrinkage overcomes radial shrinkage to produce net expansion
S
Ideal surface shape= Machine taper / soft reduction profile
Liquid MushSolid
Zoom Here (Next Slide)
•Liquid and solid shell shrinkage•Solid shell shrinkage (after Adjustment)
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 23
•Solid shell shrinkage (after Adjustment)
Adjustment to account for constraint of the liquidconstraint of the liquid
• The two generalized plane strain conditions t i th li id d h ll t b l tconstrain the liquid and causes shell to bulge out
• Alternatively, this strain in the liquid can be bt t d t fi d j t th lid h ll h i ksubtracted to find just the solid shell shrinkage
If t < tfinalsolidification :
( ) ( )centerline
, centerline,ε− x
x xxu x t t dxOtherwise:
( ) ( )centerline
, centerline,x
x xx finalsolidificationu x t t dxε− Otherwise:
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 24
Shell Shrinkage
0.3 -0.140mm/m2 13
mmm
− =2.13m
mush
solid
2.13m
-0.3mm
(-0.00261 m, 26.77 m)liqu
id
mush
(-0.00291 m, 28.90 m)
• Accounting for both sides, the maximum rate of shrinkage is 0.280 mm/m found just after final solidificationThis accelerated shrinkage should be accounted for by
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 25
•This accelerated shrinkage should be accounted for by extending soft reduction slightly beyond final solidification
Liquid and Solid (total) Shrinkage
mush solid(0.001429m, 15m)
(0.001267m, 20m) 0.23mm− mm0 046
0.32 13
mm− =5.0 m
-0.16mm
0.16mm− =
5.0m=
5.0 m
-0.23mm
mm-0.046 m
mm0 032mm-0.140 m
2.13m
2.13m
liqu
id 5.0m=
(0.001231m, 21m)
(0.001003m, 26m)
mm-0.032 mm
-0.3mm(-0.000942 m, 26.77 m)
(-0.000643 m, 28.90 m)
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 26
Ideal surface shape = Machine taper / soft reduction profile (after accounting for “soft reduction efficiency”)
Conclusion
• Rapid fluctuations in material properties may cause convergence problems in simulations
• One-dimensional simulation matches two-dimensional for this high-Pe number problem
• Axial heat transfer is 100X smaller thanAxial heat transfer is 100X smaller than radial heat flux near surface, but only 10X smaller in the liquid and solid center wheresmaller in the liquid and solid center where temperature gradients are very small.
• Accelerated shrinkage occurs immediately• Accelerated shrinkage occurs immediately after final solidification.
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 27
Future Work
• Two Dimensional Mechanical Model
– Rollers modeled– Rollers modeled
– Proper bending and rotation already applied
– Working on incorporating heat flux
– 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
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Pete Srisuk • 28
Acknowledgementsg
• Continuous Casting Consortium Members(ABB A l Mitt l B t l T t St l(ABB, Arcelor-Mittal, Baosteel, Tata Steel, Magnesita Refractories, Nucor Steel, Nippon Steel, Postech Posco SSAB ANSYS-Fluent)Postech, Posco, SSAB, ANSYS Fluent)
• YingChun Wang Baosteel• YingChun Wang, Baosteel
• Lance Hibbeler UIUC• Lance Hibbeler, UIUC
B i Th UIUC
University of Illinois at Urbana-Champaign • Mechanical Science & Engineering • Metals Processing Simulation Lab • Pete Srisuk • 29
• Brian Thomas, UIUC