Optimization of Nozzle Parameters by Investigating the Flow Behavior of Molten Steel in the Mold under a High Casting Speed
Abstract
:1. Introduction
2. Mathematical Model
2.1. Governing Equations
2.2. Model Description
3. Results and Discussion
3.1. Optimization of the Insertion Depth of SEN
3.2. Optimization of SEN Inner Diameter
3.3. Influence of Casting Speed on Flow Behavior of Molten Steel
3.4. Verification of Numerical Simulation Results
3.4.1. Flow Field in the Mold
3.4.2. Liquid Slag Distribution
4. Conclusions
- (1)
- The high-speed zone of molten steel flow in the mold is located in the SEN and at the outlet of the SEN, and progressively decreases with the vertical downward flow of the molten steel; eventually, the velocity decreases to the minimum at the wall surface of the billet. In addition, the impact depth of molten steel increases swiftly with the increase in SEN immersion depth, while the difference in impact depth under different sizes of nozzle inner diameter is slight, all in the range of 5–30 mm. Compared with the inner diameter of SEN, the immersion depth of SEN has a greater impact on the impact depth of molten steel.
- (2)
- In order to guarantee the uniform distribution of molten steel flow velocity on the mold surface and the proper impact depth, within the casting speed range of 3.0~4.5 m/min, the optimized SEN immersion depth is 100~120 mm, and the SEN inner diameter is 40 mm. The impact depth of the corresponding stream is 605–665 mm, and the maximum flow rate of molten steel on the mold surface is between 0.04 m/s and 0.045 m/s.
- (3)
- With the increase in the casting speed, the impact depth of molten steel in the mold increases slightly. In addition, the molten steel flow rate and gradient on the mold surface increased, and the area of the high-speed region also increased moderately. In general, the flow rate on the mold surface is uniform and active in the casting speed range of 3.0–4.5 m/min, which is beneficial to the uniform distribution and melting of the slag layer.
- (4)
- The distribution law of the flow field in the mold obtained by the physical experiment and the numerical simulation is identical, and the impact range of the flow strand is approximately the same. In addition, the distribution of the slag layer on the surface of the mold is uniform, which guarantees the activity of the liquid slag without the exposure of molten steel and the entrainment of slag. The research results illustrate that the optimized SEN parameters can be well adapted to the production of the continuous casting process when the casting speed is 3.0–4.5 m/min.
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Lee, P.D.; Ramirez-Lopez, P.E.; Mills, K.; Santillana, B. The “butterfly effect” in continuous casting. Ironmak. Steelmak. 2012, 39, 244–253. [Google Scholar] [CrossRef]
- Yuan, Q.; Thomas, B.G.; Vanka, S. Study of transient flow and particle transport in continuous steel caster molds: Part I. Fluid flow. Metall. Mater. Trans. B 2004, 35, 685–702. [Google Scholar] [CrossRef]
- Lee, J.-E.; Han, H.N.; Oh, K.H.; Yoon, J.-K. A fully coupled analysis of fluid flow, heat transfer and stress in continuous round billet casting. ISIJ Int. 1999, 39, 435–444. [Google Scholar] [CrossRef]
- Zhang, X.; Chen, W.; Ren, Y.; Zhang, L. Mathematical modeling on the influence of casting Parameters on initial solidification at the meniscus of slab continuous casting. Metall. Mater. Trans. B 2019, 50, 1444–1460. [Google Scholar] [CrossRef]
- Cho, S.M.; Thomas, B.G.; Kim, S.H. Effect of Nozzle Port Angle on Transient Flow and Surface Slag Behavior During Continuous Steel-Slab Casting. Metall. Mater. Trans. B 2018, 50, 52–76. [Google Scholar] [CrossRef]
- Yang, J.; Chen, D.; Long, M.; Duan, H. Transient flow and mold flux behavior during ultra-high speed continuous casting of billet. J. Mater. Res. Technol. 2020, 9, 3984–3993. [Google Scholar] [CrossRef]
- Bernhard, C.; Hiebler, H.; Wolf, M. How fast can we cast? Ironmak. Steelmak. 2000, 27, 450–454. [Google Scholar] [CrossRef]
- Yang, J.; Chen, D.; Qin, F.; Long, M.; Duan, H. Melting and flowing behavior of mold flux in a continuous casting billet mold for ultra-high speed. Metals 2020, 10, 1165. [Google Scholar] [CrossRef]
- Hibbeler, L.C.; Thomas, B.G. Mold slag entrainment mechanisms in continuous casting molds. Iron Steel Technol. 2013, 10, 121–136. [Google Scholar]
- Chen, W.; Ren, Y.; Zhang, L. Large eddy simulation on the fluid flow, solidification and entrapment of inclusions in the steel along the full continuous casting slab strand. JOM 2018, 70, 2968–2979. [Google Scholar] [CrossRef]
- Li, X.; Li, B.; Liu, Z.; Niu, R.; Liu, Y.; Zhao, C.; Huang, C.; Qiao, H.; Yuan, T. Large eddy simulation of multi-phase flow and slag entrapment in a continuous casting mold. Metals 2018, 9, 7. [Google Scholar] [CrossRef] [Green Version]
- Thomas, B.G. Review on modeling and simulation of continuous casting. Steel Res. Int. 2018, 89, 1700312. [Google Scholar] [CrossRef]
- Wu, M.; Vakhrushev, A.; Ludwig, A.; Kharicha, A. Influence of forced convection on solidification and remelting in the developing mushy zone. In IOP Conference Series: Materials Science and Engineering; IOP Publishing: Bristol, UK, 2016. [Google Scholar]
- Thomas, B.G.; Zhang, L. Mathematical modeling of fluid flow in continuous casting. ISIJ Int. 2001, 41, 1181–1193. [Google Scholar] [CrossRef]
- Ramos-Banderas, A.; Sánchez-Pérez, R.; Demedices-Garcia, L.; Palafox-Ramos, J.; Diaz-Cruz, M.; Morales, R. Mathematical simulation and physical modeling of unsteady fluid flows in a water model of a slab mold. Metall. Mater. Trans. B 2004, 35, 449–460. [Google Scholar] [CrossRef]
- Ramírez-López, P.; Demedices, L.; Dávila, O.; Sánchez-Pérez, R.; Morales, R. Structure of turbulent flow in a slab mold. Metall. Mater. Trans. B 2005, 36, 787–800. [Google Scholar] [CrossRef]
- Vakhrushev, A.; Kharicha, A.; Karimi-Sibaki, E.; Wu, M.; Ludwig, A.; Nitzl, G.; Tang, Y.; Hackl, G.; Watzinger, J. Modeling Asymmetric Flow in the Thin-Slab Casting Mold Under Electromagnetic Brake. Steel Res. Int. 2022, 2200088. [Google Scholar] [CrossRef]
- González-Solórzano, M.G.; Morales, R.D.; Guarneros, J.; Muñiz-Valdés, C.R.; Nájera Bastida, A. Performance of a Nozzle to Control Bath Level Oscillations and Turbulence of the Metal-Flux Interface in Slab Molds. Metals 2022, 12, 140. [Google Scholar] [CrossRef]
- Zhang, L.; Thomas, B.G. State of the art in evaluation and control of steel cleanliness. ISIJ Int. 2003, 43, 271–291. [Google Scholar] [CrossRef]
- Calderón-Ramos, I.; RD, M.; Servín-Castañeda, R.; Pérez-Alvarado, A.; García-Hernández, S.; de Jesús Barreto, J.; Arreola-Villa, S.A. Modeling study of turbulent flow in a continuous casting slab mold comparing three ports SEN designs. ISIJ Int. 2019, 59, 76–85. [Google Scholar] [CrossRef]
- Li, B.; Tsukihashi, F. Vortexing flow patterns in a water model of slab continuous casting mold. ISIJ Int. 2005, 45, 30–36. [Google Scholar] [CrossRef]
- Gupta, D.; Lahiri, A. Water-modeling study of the surface disturbances in continuous slab caster. Metall. Mater. Trans. B 1994, 25, 227–233. [Google Scholar] [CrossRef]
- Gupta, D.; Chakraborty, S. Asymmetry and oscillation of the fluid flow pattern in a continuous casting mould: A water model study. ISIJ Int. 1997, 37, 654–658. [Google Scholar] [CrossRef]
- Zhang, L.; Yang, S.; Cai, K.; Li, J.; Wan, X.; Thomas, B.G. Investigation of fluid flow and steel cleanliness in the continuous casting strand. Metall. Mater. Trans. B 2007, 38, 63–83. [Google Scholar] [CrossRef]
- Liu, Z.; Li, B.; Vakhrushev, A.; Wu, M.; Ludwig, A. Physical and numerical modeling of exposed slag eye in continuous casting mold using Euler–Euler approach. Steel Res. Int. 2019, 90, 1800117. [Google Scholar] [CrossRef]
- Liu, Z.; Vakhrushev, A.; Wu, M.; Kharicha, A.; Ludwig, A.; Li, B. Scale-Adaptive Simulation of Transient Two-Phase Flow in Continuous-Casting Mold. Metall. Mater. Trans. B 2019, 50, 543–554. [Google Scholar] [CrossRef]
- Xu, P.; Zhou, Y.-z.; Chen, D.-f.; Long, M.-j.; Duan, H.-m. Optimization of submerged entry nozzle parameters for ultra-high casting speed continuous casting mold of billet. J. Iron Steel Res. Int. 2022, 29, 44–52. [Google Scholar] [CrossRef]
Operating Parameters | Values |
---|---|
Mold section/(mm × mm) | 160 × 160 |
Mold length/mm | 1000 |
SEN type | Straight through |
Casting speed/(m·min−1) | 3.0, 3.5, 4.0, 4.5 |
insertion depth of SEN/mm | 80, 100, 120, 140, 160 |
Inner diameter of SEN/mm | 30, 35, 40, 45 |
Steel viscosity/(Pa·s) | 0.0065 |
Steel density/(kg·m−3) | 7200 |
Liquidus temperature of steel/K | 1793 |
Solidus temperature of steel/K | 1748 |
Steel latent heat/(kJ/kg) | 264 |
Steel heat capacity/(J/kg·K) | 720 |
Project | Impact Depth, mm | |||
---|---|---|---|---|
3.0 m/min | 3.5 m/min | 4.0 m/min | 4.5 m/min | |
Numerical simulation | 625 | 635 | 650 | 665 |
Physic experiment | 550 | 563 | 575 | 579 |
Difference | 75 | 72 | 75 | 86 |
Error/% | 12.0 | 11.3 | 11.5 | 12.9 |
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Liu, Q.; Du, Y.; Xu, P.; Chen, D.; Long, M. Optimization of Nozzle Parameters by Investigating the Flow Behavior of Molten Steel in the Mold under a High Casting Speed. Metals 2022, 12, 1595. https://0-doi-org.brum.beds.ac.uk/10.3390/met12101595
Liu Q, Du Y, Xu P, Chen D, Long M. Optimization of Nozzle Parameters by Investigating the Flow Behavior of Molten Steel in the Mold under a High Casting Speed. Metals. 2022; 12(10):1595. https://0-doi-org.brum.beds.ac.uk/10.3390/met12101595
Chicago/Turabian StyleLiu, Qiang, Yizhe Du, Pei Xu, Dengfu Chen, and Mujun Long. 2022. "Optimization of Nozzle Parameters by Investigating the Flow Behavior of Molten Steel in the Mold under a High Casting Speed" Metals 12, no. 10: 1595. https://0-doi-org.brum.beds.ac.uk/10.3390/met12101595