Numerical Simulation on the Brake Effect of FAC-EMBr and EMBrRuler in the Continuous Casting Mold
Abstract
:1. Introduction
2. Numerical Setup
2.1. Configuration of EMBr Ruler and FAC-EMBr
2.2. MathematicalModel
2.3. Boundary Condition Setup and Mesh of Computational Domain
2.4. Model Validation
3. Simulation Result and Discussion
3.1. Distribution of Electromagnetic Field
3.2. Influence of EMBr Ruler and FAC-EMBr on the Molten Steel Flow Field
3.3. Effects of the EMBr Ruler and FAC-EMBr on the Flow Velocity
3.4. Influence of the EMBr Ruler and FAC-EMBr on the Jet Flow
3.5. Effects of the EMBr Ruler and FAC-EMBr on the Level Fluctuation
4. Conclusions
- The electromagnetic field of the EMBr ruler was mainly distributed in the horizontal magnetic pole area. The magnetic induction intensity in the upper roll and meniscus regions was very small. The Lorentz force was mainly distributed in the molten steel jet impact region and the downwards roll-flow region near the jet impingement point on both sides of the SEN. The electromagnetic force was very small in the upper roll and meniscus regions.
- With the application of the FAC-EMBr, the steady magnetic field was formed in the horizontal magnetic pole region and the upper roll and meniscus regions, and a strong Lorentz force could be formed in these regions, so the velocity of the molten steel in these regions could be significantly reduced.
- As the distance between the SEN and the horizontal magnetic pole was far (case 2 and case 3), the application of the EMBr ruler could not effectively brake the upper roll flow and reduce the meniscus wave height.
- For the FAC-EMBr, increasing the current intensity IV could significantly reduce the molten steel velocity in the upper roll and meniscus regions, decrease the meniscus wave height, and stabilize the level fluctuations; increasing the current intensity IH could effectively decrease the impingement of the jet and the molten steel velocity, which was beneficial to the formation of the piston flow.
- The FAC-EMBr had independent adjustable characteristics, which made it possible to control the molten steel flow in the key areas comprehensively and flexibly and achieve a more appropriate flow state in the mold.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Material | Density ρ (kg m s−1) | Dynamic Viscosity μ (kg m−1 s−1) | Electrical Conductivity σ (S m−1) |
---|---|---|---|
Steel | 7100 | 0.006 | 7.14 × 105 |
Slag | 2700 | 0.2 | 1 × 10−5 |
Variables | Values |
---|---|
Current I(EMBr ruler), A | IH = 350, 450, 650 |
Current I(FAC-EMBr), A | (IV = 100, IH = 350), (IV = 150, IH = 350), (IV = 250, IH = 350), (IV = 350, IH = 350) |
Pole position(EMBrruler)P, mm | 20, 120, 220 |
Immersion depth of SENDSEN, m | 0.18 |
Port angle of SEN θP, deg | −15 |
Dimension of the SEN port, m | 0.065 × 0.083 |
Inner/outer diameter of the SEN, m | 0.07/0.12 |
Casting speed VC, m/min, | 1.6, 1.8, 2.0, 2.2 |
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Li, Z.; Zhang, L.; Bao, Y.; Ma, D. Numerical Simulation on the Brake Effect of FAC-EMBr and EMBrRuler in the Continuous Casting Mold. Processes 2020, 8, 1620. https://doi.org/10.3390/pr8121620
Li Z, Zhang L, Bao Y, Ma D. Numerical Simulation on the Brake Effect of FAC-EMBr and EMBrRuler in the Continuous Casting Mold. Processes. 2020; 8(12):1620. https://doi.org/10.3390/pr8121620
Chicago/Turabian StyleLi, Zhuang, Lintao Zhang, Yanming Bao, and Danzhu Ma. 2020. "Numerical Simulation on the Brake Effect of FAC-EMBr and EMBrRuler in the Continuous Casting Mold" Processes 8, no. 12: 1620. https://doi.org/10.3390/pr8121620
APA StyleLi, Z., Zhang, L., Bao, Y., & Ma, D. (2020). Numerical Simulation on the Brake Effect of FAC-EMBr and EMBrRuler in the Continuous Casting Mold. Processes, 8(12), 1620. https://doi.org/10.3390/pr8121620