s. sivaramakrishnan, b.g.thomas & s.pccc.illinois.edu/s/2000_presentations/tms_2000_1.3.pdf ·...
TRANSCRIPT
![Page 1: S. Sivaramakrishnan, B.G.Thomas & S.Pccc.illinois.edu/s/2000_Presentations/TMS_2000_1.3.pdf · Characteristics of Fluid Flow in the Mold • High Reynolds number (Reinlet ~ 50,000),](https://reader031.vdocuments.us/reader031/viewer/2022040600/5e88e1d5840a020dc64bbf69/html5/thumbnails/1.jpg)
S. Sivaramakrishnan, B.G.Thomas & S.P.Vanka(University of Illinois at Urbana Champaign)
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● National Science Foundation for their research grant (NSF -Grant # DMI - 98-00274)
● Continuous Casting Consortium (CCC) at the University of Illinois at Urbana Champaign (UIUC) for their support of this research
● The National Center for Supercomputing Applications (NCSA) at the UIUC for computing time
● Dr. Mohammed Assar, Dr Pierre Dauby and the technicians at LTV Steel for their help with the PIV measurements
Acknowledgements
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Ladle
Tundish
Submerged Entry Nozzle
Mold
Spray Cooling
Torch Cutoff Point
Molten Steel
Slab
Metallurgical Length
Liquid Pool
Strand
Solidifying Shell
Meniscus
z
Support roll
B.G. Thomas
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The Continuous Casting Mold
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Characteristics of Fluid Flow in the Mold
• High Reynolds number (Reinlet ~ 50,000), swirling multiphase high temperature (T = 1500oC) jet at inlet
• Jet phases include liquid steel, argon gas bubbles and aluminaparticles
• Impingement of semi-confined jet with high heat transfer rates
• Recirculation region above and below the jet
• Flow field highly turbulent, three dimensional and transient
• Solidification of molten steel at and below the impingement face
• Free surface covered with flux powder
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Need for Transient Mold Flow Modeling• Eliminate defects caused by transient flow phenomena, which
affect strand quality
- Entrainment of liquid flux by shear of the liquid layer- Entrapment of argon gas and alumina particles- Surface defects
• Improve sensors used to monitor fluid flow in the mold
• Input for subsequent modeling
- Heat transfer- Solidification- Thermal stress analysis
• Improve future caster design
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Tools to Study Transient Fluid Flow● Water Modeling- Flow Visualization- Particle Image Velocimetry (PIV) Measurements
● Numerical Simulation- K-ε Models - Unsteady- Large Eddy Simulation (LES) – Transient
● Actual Caster- eg. Electromagnetic Sensors
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Kinematic viscosity of molten steel is approximately equal to that of waterFluid flow in the caster can be studied using a scaled, transparent, Plexiglas water modelTake into account steel shell using appropriate taperUse Particle Image Velocimetry (PIV) to quantify the fluid flow in the water modelAs a first study perform Large Eddy Simulations (LES) of the fluid flow in the water model
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0 50 1000
100
200
300
400
500
600
700
800
900
65 mm
Tundish
Slide gate opening
40o
15o
Bore Dia 32mm
140 mm
242 mm
18 mm
77 mm
SEN
Mold
95 mm
31x31mm
39%areaopen
Z
Y
726 mmm
3x35 mm dia exit holesSpaced uniformly on bottom
MeniscusX
Y
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Water Model
Planes illuminated by laser light
time t t + ∆t
∆x
v=∆x/∆t ∆t=0.002s
correlate images
v
camera
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Tracer particles (negligible mass and momentum coupling) are injected into the flow
Two closely spaced (time) snapshots are taken using a CCD camera
Particle locations in two snapshots are correlated to obtain distance moved by particle
Flow velocity at particle location = Distance/Time
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• Resolution- CCD camera - DANTEC - Double Image 700 with
768x480 pixels- Number of pixels per interrogation area 16x16 – 64x64- Average of 32x32 used- 25% overlap used to capture particles near interrogation
area edges- Maximum vectors per measurement area – 31x19
• Time interval between snapsnots varies from 0.2 – 1s
• Time interval between correlated frames - 100 µs
• Seeding particle – Aluminum – ( 30µm)
• Correlation technique - Autocorrelation
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Modifications - Boundary conditions
• Constant thickness assumed from top to bottom- Thickness variation is not large enough to justify using more complicated CFD
algorithm
• Free water surface simplified to rigid free slip boundary- Water level variations - spatially and temporally are small
• Only half the domain is modeled- Not enough evidence was available to assume large scale lower roll motions- A factor of two benefit is obtained in computational size
• Inflow swirl is replaced by fully-developed turbulent flow from square duct
- Modeling swirl would require using an iterative solver (AMG) as opposed to a direct (FFT) solver which would make at least a factor of five difference in computational time
- Helps check hypothesis of flow parameters being sensitive to inlet conditions - Square duct (LES) helps validate flow code
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Modifications – Phenomena
• Single phase modeling- Water Model can be run easily in single phase mode to validate model for
single phase- Single phase solution can be used as a easy start point for multiphase
modeling
• Solidification neglected- Present only deep down in the mold and close to the narrow face and can
be neglected when modeling fluid flow- Will be of significance when modeling heat transfer
• Heat Transfer neglected- Secondary calculation if Boussinesq approximation is invoked- Like multiphase can be solved for when fluid flow phenomenon have been
captured
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Computational Flow Simulation Domain
Z X
Y
Wal
l
Sym
mte
ry
Outflow
Free slip
Inflo
w
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∂vj
∂xj
= 0Continuity
∂∂t
ρvi +∂
∂x j
ρvjvi = −∂P∂xi
+∂
∂xj
µeff
∂vj
∂xi
+∂vi
∂xj
�
� � �
� � Momentum
( ) 21
2
22
2
)(
~
~;
Modely Smagorinsk
ijij
ST
ijijSGS
SGSTijijTijij
SSS
SC
SSq
qSSS
=
∆=
==−
ν
ννετ
�
�
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Large Eddy Simulation MethodologyThe equations are discretized using a fractional step procedure on a staggered grid
A Second order accurate scheme in time and space is used
The implicit diffusion terms are solved for using Fast Fourier Transform (FFT) and Alternate Line Inversion (ALI)
The Pressure-Poisson equation is solved using direct FFT
For parallelization 1-D domain decomposition with MPI (Message Passing Interface) is used
Rectangular computational grid of 1.5 million nodes
18 CPU secs per 0.001s time step or 13 days CPU time (Origin 2000) for 60s of flow simulation
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Flow Pattern and Jet Angle
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0.1 m/s
Instantaneous Velocity
Vector Plot
Simulation PIV measurement
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0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
00.10.20.30
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
0 0.1 0.2 0.3
Z X
Y
0.1 m/s
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00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.250.1m /s
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00.050.10.150.20.250.30.350
0.05
0.1
0.15
0.2
0.250.1m/s
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00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.250.1m /s
362mm
Port (31x31mm)
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Staircase Effect and Time Scales
00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.25
T s
00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.25
T+0.2 s
00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.25
T+0.4 s
00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.25
T+0.6 s
0.5 m/s
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00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.25
0.5 m/s
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00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.25
Ts
00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.25
T+2.4 s
00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.25
T+7.2 s
0.5 m/s00.050.10.150.20.250.30.35
0
0.05
0.1
0.15
0.2
0.25
T+4.8 s
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00.050.10.150.20.250.30.350
0.05
0.1
0.15
0.2
0.1m/s
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00.050.10.150.20.250.30.350
0.05
0.1
0.15
0.2
0.1m/s
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Velocity Time History Near Water Surface
TIME (s)
-UVE
LOC
ITY
(m/s
)
0 5 10 15 20 25 30 35 40 45 50 55 600
0.025
0.05
0.075
0.1
0.125
0.15
0.175
PIV
-UVE
LOC
ITY
(m/s
)
0
0.025
0.05
0.075
0.1
0.125
0.15
0.175
SIMULATION
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X
Y
Z
0.3696290.2297610.09663110.0756390.06678280.05624210.04141170.03572040.02035160.00516797
VELOCITY (M/S)
INLET
EXITS
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Distance from wideface of caster (mm)
Wei
ghtin
gfa
ctor
forr
espe
ctiv
epl
anes
0 10 20 30 40 50 60 70 80 90 1000
0.01
0.02
0.03
0.04
0.05
0.06
0.07
Distance from wideface of water model (mm)0 40
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X
Y
Z
A
B
0.1 m/s
Distance from wideface = 35 mm
X
Y
Z
A
B
0.1 m/s
Distance from wideface = 9 mm
InstantaneousFlow Past
Sensor
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Time (s)
-Uve
loci
ty(m
/s)
40.0 45.0 50.0 55.0 60.0 65.0 70.0 75.0 80.0-0.01
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
Sensor A - Probe 1Sensor A - Probe 2
Time (s)
-Uve
loci
ty(m
/s)
120.0 125.0 130.0 135.0 140.0 145.0 150.0 155.0 160.0-0.01
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
Sensor B - Probe 1Sensor B - Probe 2
Qualitative Comparison
of Sensor Outputs
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0.3
0.4
0.5
0.6
0 0.1 0.2 0.3
Z X
Y
0.3
0.4
0.5
0.6
00.10.20.3
0.05 m/s
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Rolls Same SizeRight Roll Larger
0.2
0.3
0.4
0.5
0.6
0.7
-0.3-0.2-0.100.10.20.3
X
Y
Z
0.05 m/s
0.2
0.3
0.4
0.5
0.6
0.7
-0.3-0.2-0.100.10.20.3 X
Y
Z
0.05 m/s
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● Jet vector plots show a staircase pattern caused by the inlet swirl (PIV)
● The jet has many different time scales of motion (PIV)● Velocity variation close to the water surface has two time scales
(PIV and LES) ● Upper roll alternates between a single recirculation region and
a set of distinct vortices (PIV and LES). ● MFC sensor should be placed close to the water surface for
accurate interpretation● Lower rolls are significantly asymmetric (PIV)● Lower rolls go through a repeating sequence of flow structures
(PIV)- The short-circuit structure is significant to particle entrapment
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Table of ConditionsNo. Property Water model Simulation
1 Length of the model 0.950m 0.956m 2 Thickness of model Varies from 0.095m
at the top to 0.065m Constant 0.08m
3 Port opening 0.031 x 0.031m 0.031 x 0.031m 4 Top surface Free surface Free slip boundary 5 Flow rate through each port 3.528 x 10-4 m3/s
(5.6 gal/min) 3.528 x 10-4 m3/s (5.6 gal/min)
6 Average inlet velocity 0.4239m/s 0.4239m/s 7 Average jet inlet angle 30o 30o
8 Distance of top of port outlet from top surface (submergence depth)
0.075 m (Varies with time)
0.07207m
9 Outlet 1.5 35mm diameter outlets along each half of the bottom
1.5 35mm square outlets at the bottom
10 Fluid used Water Water 11 Kinematic viscosity 1 x 10-6 m2/s 1 x 10-6 m2/s 12 Gas flow rate (cubic ft / hr) 0.0 0.0