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University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 1
Designing a New Scrap-Based Continuous Steelmaking Process
using CFD SimulationDr. Lifeng Zhang, Mr. Jun Aoki, Prof. Brian G. Thomas
Dept. of Mechanical & Industrial EngineeringUniversity of Illinois at Urbana-Champaign
Mr. Jörg Peter, Prof. Kent D. PeasleeDepartment of Material Science and Engineering
University of Missouri-Rolla
ANNUAL REPORT 2005Meeting date: June 1, 2005
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 2
Fully Continuous Steelmaking Process
modified Consteel EAFsteel mass ≈ 55 tmain functions:
melt, heat, de-C, de-P
Tundish
Finishersteel mass ≈ 23 tmain functions:
alloy, de-S, float inclusions, homogenize
Reducersteel mass ≈ 27 tmain functions:
de-O, de-S, alloy, float inclusions, homogenize
Oxidizersteel mass ≈ 27 tmain functions:
de-C, de-P, de-O, float inclusions, homogenize
Continuous Caster
2
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 3
Oxidizer: de-C, de-P, de-O, Inclusion Removal, Homogenization
Left side view Transparent right-side view
Steel in
Steel out
Steel in
Steel out
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 4
Designing the Oxidizer Vessel by Numerical Simulation: Models - Fluid flow
- Steel-gas two-phase flow (Eularian-Lagrangian)
- Turbulence (k-ε two-equation model)- Mixing phenomena
- Turbulent solute transport- Inclusion transport
- Drag force, gravitational force, and virtual mass force
- Random Walk model- Simulation using FLUENT
3
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 5
Evaluation of Two Designs
Design I Design II
Differences: Inlet nozzle, position of inlet launder and outlet lauder, number of porous plug
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 6
Dimensions and Parameter of Two Oxidizer Vessel Designs
50005000Inclusion density (kg/m3)1406864Total bubble injection at 1900K (#/s)32Number of porous plug at the bottom31.0 36.4Bubble size at 1900K (mm)0.490.49Argon gas flow rate at 300K (m3/min)1.140×10 – 34.0×10 – 4Inlet turbulent energy dissipation rate (m2/s3)5.619×10 – 4 3.1×10 – 4 Inlet turbulent energy (m2/s2)0.31580.232Inlet velocity (m/s)1018950Theoretical residence time of the molten steel (s)99.599.5Steel flow rate (tons/hour)120140Inner diameter of inlet (mm)3.6363.393Inside volume of the whole domain (m3)φ1.5m, H1.65mφ1.4m, H2.0mDimension of the vesselDesign IIDesign I
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University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 7
Fluid Flow Without Gas Injection
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 8
Fluid Flow in the Domain
Design I: Strong short circuiting
Design II: Swirl flow by angling the inlet launder to avoid direct alignment with the outlet launder
5
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 9
Fluid Flow in the Domain
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 10
Fluid Flow on the Top Surface
Design II: - Strong backward flow toward the inlet launder along
the top surface- Likely push some slag along the surface towards the
inlet nozzle
The surface velocity in the inlet launder:Design I: ≤0.1m/s, Design II: ≤0.2m/s
6
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 11
Fluid Flow, Mixing and Inclusion
Transport With Gas Injection
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 12
Iso-surface of 0.001 Volume Fraction of Argon Gas in the Vessel
Argon gas flow rate: 0.49 Nm3/min
Bubble size (at 1900K): Design I: 36.4mm Design II: 31.0
Design I seems to generate more dispersion of argon bubbles.
Design I
Design II
7
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 13
Fluid Flow Characteristic in the Vessel
2.15×10 – 25.46×10 – 2Volume-averaged turbulent energy dissipation rate (m2/s3)
12231075Number of bubbles at pseudo-steady state
0.171 m/s0.241 m/sVolume-averaged velocity magnitude
1.31×10 – 22.76×10 – 2Volume-averaged turbulent kinetic energy (m2/s2)
1.90m/s1.61m/sAverage rising speed of bubbles0.87s1.24sAverage residence time of bubbles Design IIDesign I
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 14
Design II Has a Smaller Average Velocity than Design I
The volume-averaged velocity magnitude:Design I: 0.241m/s; Design II: 0.171m/s
Design I
Design II
8
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 15
Fluid Flow in Design I
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 16
Velocities and Recirculation in the Vessel
- Particles (or solute fluids) recirculate a long time, good for chemical reactions.
Design I
Design II
- Flow is upwards in the gas plume, and downwards along walls, generating a strong recirculation within the entire height of the vessel
- Stronger recirculation in Design I
9
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 17
Top Surface Velocities
Design I
Design II- Large velocities at the top- Design I: Strong backflow into
the inlet launder - Design II: Asymetrical (swirl)
backflow into the inlet launder, weaker than in Design I
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 18
Flow to Outlet Lauder
10
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 19
Flow to Outlet Lauder
Design I:- Two independent fully-
recirculating flow induced by the two gas plumes.
- Short circuit flowDesign II: strong swirl
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 20
Turbulent Energy Dissipation: High top stirring power is good for interfacial reactions
Design II
Design I
Energy dissipation at the top surface and the gas plume:Design I: >1.0m2/s3 (1000 W/ton)Design II: >0.37 m2/s3 (370W/ton)
11
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 21
Solute Transport: Alloy Dispersion
- Alloy addition place: center plane, midway between the center axis and inlet launder exit, 0.1m below the surface;
- Evaluating short circuiting by monitoring volume fraction at points 8 & 9 (Design I) and point 6 (Design II)
Design II
Design I
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 22
Short Circuiting
10 100 1000
0.0000
0.0001
0.0002
0.0003
0.0004
0.0005
0.0006Design IIPoint 6Design I
Volu
me
fract
ion
of a
lloy
Time (s)
2
Point 9
Point 8
Minimum time to reach the outlet lauder:Design I: 5-7s Design II: 14s
Design II is better.
12
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 23
Alloy Volume Fraction at Monitoring Points with Time
10 100 10000.0000
0.0002
0.0004
0.0006
0.0008
Vol
ume
fract
ion
of a
lloy
Time (s)
Points 1 2 3 4 5 6 7 8 9 10 11
2
Average fraction if without outflow
10 100 10000.0000
0.0001
0.0002
0.0003
0.0004
0.0005
0.0006
0.0007
0.0008
Vol
ume
Frac
tion
of A
lloy
Time (s)
Points 1 2 3 4 5 6 7 8 9 10
2
Average fraction if without outflow
Design IIDesign I
- Fluctuates with time until converging together
- Eventually dropping down with increasing time
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 24
Mixing Time and Steel Residence Time
100 101 102 103101
102
103
104
II
300 ton Ar-stirred Ladle Current designing
50t ASEA-SKF 50t Ar-stirred 58.9t Ar-stirred 6t Ar-stirred 200RH 65kg Water
τ=523ε - 0.4
Mix
ing
time,
τ (s
)
Stirring power, ε (Watt/ton)
Design I
- Mixing time:Design I: 90s Design II: 110s
- A little faster mixing in Design I
- Steel theoretical residence time(10 times > mixing time):
Design I: 950s Design II: 1018s
- Mixing conditions are good in both designs Mixing time: The time when all
points reach the same value
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University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 25
Mixing Time and Steel Residence Time
- A residence time exceeding the mixing time is sufficient for homogenization but not always enough for reactions.
- Reactions also depend on - interfacial area between the steel and gas- emulsification between steel and slag- thermodynamics
- Of greater importance is to - avoid short circuiting flow - transport the inclusions to the top slag
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 26
Alloy Iso-surface at 50.5s
Design I: similar flow pattern to a pair of well-mixed vessels in series due to two strong gas injection plumes
Design II: three gas injection jet and the swirl fluid flow avoids this behavior
Design IIDesign I
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University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 27
Effect of Alloy Addition Place on its Trajectory (Design I)
Place II
Place I
3.3s
3.3s
10.3s
10.3s
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 28
4 Inclusion Trajectories in Design I
Too much recirculation of particles in steel:- Good for chemical reactions- Bad for inclusion removal
300µm 50µm
15
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 29
4 Inclusion Trajectories in Design II
300µm
50µm
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 30
Mean Residence Time of 5000 Inclusions Each Size
Inclusions removed more easily in Design II than Design I
27.270.2300µm46.8100.3100µm49.8121.650µm
Design IIDesign ISize
16
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 31
Design II Has a Larger InclusionRemoval Fraction
50 100 150 200 250 300
86
88
90
92
94
96
98
100
Design I Design II
Rem
oval
frac
tion
(%)
Inclusion diameter (µm)
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 32
Fractions of Inclusions to Different Destinations
0 50 100 150 200 250 300 350
10
15
20
25
30
35
40
45
50
Frac
tions
to to
p of
inle
t lau
der (
%)
Inclusion diameter (µm)
Design I Design II
50 100 150 200 250 3000.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
5.5
Frac
tions
to to
p of
out
let l
aund
er (%
)
Inclusion diameter (µm)
Design I Design II
50 100 150 200 250 30045
50
55
60
65
70
75
80
85
Frac
tion
to th
e to
p of
cyl
indr
ical
sec
tion
Inclusion diameter (µm)
Design I Design II
Top of inlet lauder Top of cylindrical section Top of outlet lauder
Design I: Most inclusions to the top of the cylindrical sectionDesign II: < 150µm inclusions mainly to the top of the cylindrical
section, >150µm inclusions mainly to the top of the inlet lauder
17
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 33
Residence Time and Mixing time (s)
110s0.8727.2-49.81018Design II90s1.2470.2-121.6950Design I
Mixing timeResidence time of bubbles
(1.6228 kg/m3)
Residence time of >50µm
inclusions (5000kg/m3)
Theoretical residence
time
- Smaller bubbles improve inclusion removal and mixing, favoring Design II over Design I for the current continuous steelmaking process.
- Bubble size: Design II: 31.0mm; Design I: 36.4mm
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 34
Summary
- Advanced CFD models of turbulent, multiphase flow are applied to design a new scrap-based process for continuous steelmaking, focusing on two different designs of the Oxidizer vessel.
- The design with a side opened inlet nozzle diminishes jet impingement on the bottom of the inlet launder.
- Merits of the design with inlet launder not in the same line as the outlet launder:- producing swirl- stabilizing the flow pattern- avoiding short circuiting- more inclusion removal- roughly the same mixing conditions as the no-swirl design
18
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 35
Future Investigations
- Consideration of multi-size bubbles, other inter-phase forces etc;
- Inclusion nucleation, growth, and collision with each other and with gas bubbles;
- Top surface waves, and interfacial phenomena (between gas and steel, and between steel and slag;
- Chemical reactions between top slag and the molten steel such as De-P and De-S and the reaction De-C, coupled with fluid flow;
- Heat transfer phenomena during this continuous steelmaking process;
- Design of other vessels
University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 36
Acknowledgement
- U.S. Department of Energy (DE-FC36-03ID14279)
- Continuous Casting Consortium at UIUC - National Science Foundation (Grant #
0115486).
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University of Illinois at Urbana-Champaign • Metals Processing Simulation Lab • Lifeng Zhang 37
Comments and Questions !!