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1 Designing a New Scrap-Based Continuous Steelmaking Process using CFD Simulation Dr. Lifeng Zhang, Mr. Jun Aoki, Prof. Brian G. Thomas Dept. of Mechanical & Industrial Engineering University of Illinois at Urbana-Champaign Mr. Jörg Peter, Prof. Kent D. Peaslee Department of Material Science and Engineering ANNUAL REPORT 2005 Meeting date: June 1, 2005 University of Illinois at Urbana-Champaign Metals Processing Simulation Lab Lifeng Zhang 2 Fully Continuous Steelmaking Process modified Consteel EAF steel mass 55 t main functions: melt, heat, de-C, de-P Tundish Finisher steel mass 23 t main functions: alloy, de-S, float inclusions, homogenize Reducer steel mass 27 t main functions: de-O, de-S, alloy, float inclusions, homogenize Oxidizer steel mass 27 t main functions: de-C, de-P, de-O, float inclusions, homogenize Continuous Caster

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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

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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

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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

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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

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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

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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

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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

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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

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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)

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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.

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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

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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

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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

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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

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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 !!