Influences of the Braking Effect of Ruler EMBr on Molten Steel Flow and Steel–Slag Interface Fluctuation in a Continuous Casting Mold
Abstract
:1. Introduction
2. Mathematical Formulations and Conditions
2.1. Mathematical Formulations
Two–Phase Flow Equation
2.2. Computational Conditions
3. Geometric Configurations
3.1. Ruler EMBr Configuration
3.2. Computational Domain and Parameters
4. Model Validation
5. Results and Discussion
5.1. Electromagnetic Characteristics in Mold with Ruler EMBr
5.2. Molten Steel Flow Characteristics in Mold with the Variation of Magnetic Flux Density
5.3. Molten Steel Flow Characteristics in Mold with the Variation of SEN Depth
5.4. Molten Steel Flow Characteristics in Mold with the Variation of Ruler EMBr Position
6. Conclusions
- With the application of the ruler EMBr in the mold, a steady magnetic field is concentrated in the jet impingement region and, correspondingly, a strong electromagnetic force is generated therein. As a result, the jet flow discharged from the nozzle–exit is directly suppressed by the electromagnetic force applied by the ruler EMBr device.
- When the magnetic flux density exceeds 0.3 T, a favorable prognostic factor of the ruler EMBr device is that the braking effect can restrain the impact of upward backflow on the free surface of the mold. This benefit can contribute to stabilize the interface fluctuation and prevent the mold flux entrapment. For instance, with a magnetic flux density of 0.5 T, the maximum amplitude of steel–slag interface fluctuation decreases by 33.3 pct when compared to the case of no EMBr.
- When the ruler EMBr device location remains fixed, the impact strength of the jet flow decreases with an increase of SEN depth. Specifically, for a fixed ruler EMBr device position of 255 mm, a desirable braking effect can be obtained at a SEN depth of 170 mm. With this adjustment, the maximum amplitude of the vertical velocity in the upper recirculation region of the mold decreases by 28 pct compared to a SEN depth of 130 mm.
- An increased distance between the ruler EMBr device location and the top of the mold results in a reduced braking effect on the jet stream at a constant SEN depth. Correspondingly, a relatively active steel–slag interface profile is formed. In detail, for a given SEN depth of 150 mm, when the ruler EMBr device is located at 285 mm, the maximum amplitude of the steel–slag two–phase interface fluctuation increases by 9.6 pct compared to the ruler EMBr device located at 225 mm.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Nomenclature
p | pressure, [Pa] |
vj | steel velocity, [m∙s−1] |
gi | gravitational acceleration, [m2∙s−1] |
FVol,i | interaction force, [N∙m−3] |
Fm,i | electromagnetic force, [N∙m−3] |
Ji | eddy current density, [A∙m−2] |
bi | induced magnetic field, [T] |
B0,i | applied magnetic field, [T] |
Gk | generation of turbulence kinetic energy |
Gω | generation of specific dissipation rate |
Yk | dissipation of turbulent kinetic energy |
Yω | dissipation of specific dissipation rate |
Dω | cross diffusion |
F1 | blending function |
Greek symbols | |
ρ | density, [kg∙m−3] |
ρst | steel density, [kg∙m−3] |
ρsl | mold flux density, [kg∙m−3] |
μeff | effective viscosity, [kg∙m−1∙s−1] |
μl | laminar viscosity, [kg∙m−1∙s−1] |
μt | turbulent viscosity, [kg∙m−1∙s−1] |
μst | steel laminar viscosity, [kg∙m−1∙s−1] |
μsl | mold flux laminar viscosity, [kg∙m−1∙s−1] |
Φ | volume fraction of steel |
κ | mean surface curvature |
σk | turbulent Prandtl number |
σω | turbulent Prandtl number |
k | turbulent kinetic energy, [m2∙s−2] |
ω | turbulent dissipation rate, [s−1] |
σ | steel electrical conductivity, [S∙m−1] |
Subscripts | |
eff | effective |
M | magnetic |
Vol | volume |
l | laminar |
t | turbulent |
st | steel |
sl | slag |
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Parameter | Value |
---|---|
Mold size | 1450 mm × 230 mm |
Effective mold length | 800 mm |
Computational domain | 1450 mm × 230 mm × 3500 mm |
Depth of SEN | 130, 150, and 170 mm |
Outlet section of SEN | 65 mm × 80 mm |
Angle port of SEN | −15° |
Casting speed | 1.6 m∙min−1 |
Molten steel density | 7020 kg∙m−3 |
Molten steel viscosity | 0.0056 Pa∙s |
Molten steel electric conductivity | 7.14 × 105 S∙m−1 |
Molten steel magnetic permeability | 1.26 × 10−6 H∙m−1 |
Mold flux density | 3500 kg∙m−3 [3] |
Mold flux viscosity | 0.2664 Pa∙s [3] |
Liquid mold flux height | 35 mm |
Interface tension coefficient | 1.2 N∙m−1 |
Magnetic flux density | 0, 0.1, 0.2, 0.3, and 0.5 T |
Magnetic pole position | 225, 255, and 285 mm |
Parameter | Value | Parameter | Value |
---|---|---|---|
Computational domain length | 704 mm | Liquid viscosity | 0.00155825 Pa∙s |
Computational domain height | 40 mm | Liquid electric conductivity | 1.05 × 106 S∙m−1 |
Computational domain thickness | 2 mm | Liquid inlet velocity | 1.16141 m∙s−1 |
EMBr central region length | 304 mm | Inlet turbulent kinetic energy | 5.99 × 105 m2∙s−2 |
Magnetic flux density | 1.3482 T | Turbulent dissipation rate | 7.529 × 105 m2∙s−3 |
Liquid density | 13,550 kg∙m−3 | Static pressure at exit | 0 |
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Xu, L.; Pei, Q.-W.; Han, Z.-F.; Cui, J.; Pan, H.-G.; Yao, Y.-T. Influences of the Braking Effect of Ruler EMBr on Molten Steel Flow and Steel–Slag Interface Fluctuation in a Continuous Casting Mold. Processes 2023, 11, 33. https://doi.org/10.3390/pr11010033
Xu L, Pei Q-W, Han Z-F, Cui J, Pan H-G, Yao Y-T. Influences of the Braking Effect of Ruler EMBr on Molten Steel Flow and Steel–Slag Interface Fluctuation in a Continuous Casting Mold. Processes. 2023; 11(1):33. https://doi.org/10.3390/pr11010033
Chicago/Turabian StyleXu, Lin, Qun-Wu Pei, Ze-Feng Han, Jie Cui, Hong-Gang Pan, and Yan-Tao Yao. 2023. "Influences of the Braking Effect of Ruler EMBr on Molten Steel Flow and Steel–Slag Interface Fluctuation in a Continuous Casting Mold" Processes 11, no. 1: 33. https://doi.org/10.3390/pr11010033
APA StyleXu, L., Pei, Q. -W., Han, Z. -F., Cui, J., Pan, H. -G., & Yao, Y. -T. (2023). Influences of the Braking Effect of Ruler EMBr on Molten Steel Flow and Steel–Slag Interface Fluctuation in a Continuous Casting Mold. Processes, 11(1), 33. https://doi.org/10.3390/pr11010033