computer simulation for secondary metallurgy processes in ... · computer simulation for secondary...
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Computer simulation for secondary metallurgy processes in the
framework of RFCS
[email protected] Safavi Nick
1
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Control of inclusions in RH degassing processes
• 2D schematic representation:
2
The following proccesses have been taken into account:• Interaction between gas and melt• Vacuum• Movment of free surface• Time-dependent flow
The gas phase consist of:• CO• Ar
Liquid melt contains:• C• O• Non-reacting liquid metal
The following assumptions are made:
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Control of inclusions in RH degassing processes
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Velocity Vector Field [m/s] Volume Fraction
CO Content in gaseous phases Carbon content in the melt [ppm]
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Control of inclusions in RH degassing processes
• Carbon content in the melt with respect to time:
4
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Control of inclusions in RH degassing processes
• Trajectory of inclusion:
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Control of inclusions in RH degassing processes
• Domain of calculation for the 3D simulation:
6
Velocity vector field
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Control of inclusions in RH degassing processes
• Velocity vector field with respect to plugs
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Control of inclusions in RH degassing processes
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• Trajectory of inclusions in a 3D vessel:
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Control of inclusions in RH degassing processes
• Temperature distribution and heat loss:
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Control of inclusion, slag foaming andtemperature in vacuum degassing
• A 2D domain has been used:
10
Two flow rates have been used:• 80 l/min• 160 l/min
Model assumptions:• One-way inclusion coupling• Inclusions generation ignored• Inclusions chemistry: Al2O3• Inclusions are spherical• Slag layer is ignored• Flat free surface
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Control of inclusion, slag foaming andtemperature in vacuum degassing
• Inclusions particle density:• Group A: 2.8-5.6 um, 2.3e10 l/m3• Group B: 5.6-11.2 um, 3.1e9 l/m3• Group C: 11.2-23.4 um, 2.3e8 l/m3
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Mechanisms related to inclusion growth and removal:• Inclusion growth due to the stokes collision• Inclusion growth due to the turbulent collision• Inclusion growth due to the Brown collision• Inclusion removal due to the bubble
attachment• Inclusion removal due to the slag absorption• Inclusion removal due to its sticking on the
wall
Cen
ter l
ine
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Control of inclusion, slag foaming andtemperature in vacuum degassing
• Effects of mechanisms on inclusion removal:
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Control of inclusion, slag foaming andtemperature in vacuum degassing
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Group A
Group B
Group C
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Control of inclusion, slag foaming andtemperature in vacuum degassing
• Open eye size vs. Slag viscosity and flow rate:
14
Q=80 l/min, Slag Thickness: 10 cm, slag viscosity: 4.3e-4 Pa.s
Case Flow rate [l/min]
Slag Thickness [cm]
Slag viscosity [Pa.s]
1 80 10 4.3e-42 80 25 4.3e-43 80 10 8.0e-34 120 10 8.0e-3
SO
NNr aa
fk
4.631611015.0 2
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Production of EAF steels with low contentof N2 and S through vacuum treatment
• Two cases were considered:• Case a
small cell or big bubble db>Z• Case b
small bubble db<Z• Z is the vertical extension of a c
15
db
wgas
z
db z
wgas
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Production of EAF steels with low contentof N2 and S through vacuum treatment
• Nitrogen Transport
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eiNr
NmN NNkA
dtnN 22 %%
14100
SO
NNr aa
fk
4.631611015.0 2
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Production of EAF steels with low contentof N2 and S through vacuum treatment
• Profil ARBED modified sulphur content in slagInitial compositions
Slag%Al2O3=11.77, %CaO=58.21, %FeO=0.73 %MgO=7.39, %MnO=0.16, %SiO2=17.89%S=0.5Steel%Al=0.0277, %C=0.0806, %Mn=1.16%Si=0.184, %S=0.009 %N=7.8.10-3
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Production of EAF steels with low contentof N2 and S through vacuum treatment
• Average [Al], [S], [Si] and [O] contents in the steel melt
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0 200 400 600 800 10000.000
0.005
0.010
0.015
0.020
0.025
0.030
[S], [Al] end [S], end [Al]
wt%
[Al],
[S]
Time (seconds)
0.17
0.18
0.19
0.20
0.21
0.22
0.23
[Si]
4
6
8
Oppm
• Average [N] contents in the steel melt
0 200 400 600 800 10000.0062
0.0064
0.0066
0.0068
0.0070
0.0072
0.0074
0.0076
0.0078
0.0080
charge 3915
[N] case 2a, [N] case 2b, end [N]
wt%
N
Time (seconds)
Small bubble approximation
Big bubble approximation
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Production of EAF steels with low contentof N2 and S through vacuum treatment
• Concentration profile of nitrogen
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T=3.8 min T=6.3 min
[N] wt%
T=12.9 min
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Improvment of inclusion floatation during RH treatment
• Geometry and its schematic:
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Improvment of inclusion floatation during RH treatment
• Profile of the flow inside the vessel:
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Velo
city
vec
tor p
rofil
e
Turbulent energy dissipation
Particle concentrationParticle trajectory
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Development of advanced methods for thecontrol of ladle stirring process
• Open eye for center plug
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a 100 l/min
f 600 l/mine 500 l/mind 400 l/min
c 300 l/minb 200 l/min
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Development of advanced methods for thecontrol of ladle stirring process
• Open eye for ecentric plug
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a 100 l/min
f 600 l/mine 500 l/mind 400 l/min
c 300 l/minb 200 l/min
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Development of advanced methods for thecontrol of ladle stirring process
• Effects of viscosity on the size of the open eye:
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Q=200 l/min, υ (slag) = 4.6e-5 m2s-1
Q=200 l/min, υ (slag) = 4.6e-4 m2s-1
Q=200 l/min, υ (slag) = 4.6e-3 m2s-1
Q=200 l/min, υ (slag) = 4.6e-2 m2s-1
Q=200 l/min, υ (slag) = 4.6e-1 m2s-1
Q=50 l/min, υ (slag) = 4.6e-1 m2s-1
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Development of advanced methods for thecontrol of ladle stirring process
• Effect of grid on the solution:
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BFC grid
cylindrical grid
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Development of advanced methods for thecontrol of ladle stirring process
• Water model:
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Q=3.6 l/min Q=9.2 l/min Q=25.2 l/min
oil height: 2 cm, centric plug
Q=3.6 l/min Q=7.0 l/min Q=20.2 l/min
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Development of advanced methods for thecontrol of ladle stirring process
• Open eye size vs. Oil height
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H = 20 mm H = 40 mm
gas flow: 3.6 l/min, centric plug
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Development of advanced methods for thecontrol of ladle stirring process
• Open eye vs. Plug position and number
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Centric Eccentric Double lance
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Development of advanced methods for thecontrol of ladle stirring process
• CFD vs. Water model
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gas flow: 7 l/min, centric plug, oil height: 6cm
a CFD modell b Vatten modell10-5 10-4 10-3 10-2 10-1 100 101 102
100
101
A/hH
Q2/gH5
Water model CFD model Correlation
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Development of advanced methods for thecontrol of ladle stirring process
• 3D gas plume:
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t=0.3s t=0.6s t=0.9s
t=1.2s t=1.5s t=3s
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Schematic:
31
• Gas flow:
Velocities for the 35 tonne ladle at Uddeholm Tooling. Gas flow rate 60 Nl/min
Horizental velocity at the top surface along a line through nozzel
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• EMS:
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Heating:
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Slag-metal interface modelling:
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• ORI Martin ladle model:
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Emulsification:
Emulsification threshold Mass of slag emulsified
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Floatation probability for particles of different diameter as a function of gas flow rate
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Corus EMS model:
Streamlines Temperature profile
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Evaluation of heating together with gas stirring
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Evaluation of heating together with gas stirring
Gas flow rate 800 l/min
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Temperature profile:
Gas flow rate 170 l/min Gas flow rate 800 l/min
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Melt temperature w.r.t time
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Uddeholm Tooling Al-addition:
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Flow profile for different variants:
Case Plug 1 [l/min] Plug 2 [l/min]
1 60 60
2 120 120
3 200 200
4 60 200
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Flow profile for differetn varients:
Cas
e 1
Cas
e 2
Case 3
Case 4
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Improved control of inclusion chemistry andsteel cleanness in the ladle furnace
• Inclusions separation:
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Resource-saving operation of stainless steelrefining in VOD and AOD processes
• Domain of calculation:
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Resource-saving operation of stainless steelrefining in VOD and AOD processes
• Distribution of carbon concentrations in % for an AOD heat at start of inert gas blowing, after 10s and after 30s.
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Summary• RH degasser:
• Melt conposition• Inclusion model• Temperature profile and heat transfer
• Ladle:• Stirring: gas and/or industion• Arc heating• Homogenization• Melt composition• Inclusion model
• AOD and VOD:• Melt composition• Temperature profile• Decarburization
• The newest simulation work is at least 6 years old!
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Vi arbetar på vetenskaplig grund för att skapa industrinytta.www.swerea.se
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Scientific Work for Industrial Usewww.swerea.se