Abstract
Thin slab casting and rolling (TSCR) is a near-net-shape manufacturing process and a key development technology in China's iron and steel industry. This study uses cross-scale calculations to analyze the complete process of thin slab casting. The focus is on simulating and predicting the final solidification structure by adjusting process parameters. The aim is to enable further investigation into material performance and establish a foundation for researching deformation and phase transformation. To achieve this, a coupled model has been developed to simulate the entire thin slab casting process, using hot stam** steel as the research subject. The model encompasses fluid flow, heat transfer, and solidification. The study identifies the optimal combination for flow field, temperature distribution, and equiaxed grain ratio within the specified parameter range at a casting speed of 4.0 m/min and a superheat of 40 °C. The aim of the study is to establish an integrated computational materials engineering (ICME) research system for near-net-shape automotive steel casting processes.
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References
J. Sun, W. Peng, J. Ding, X. Li, and D. Zhang: Metals, 2018, vol. 8, pp. 1–10. https://doi.org/10.3390/met8080597.
L. Wang, C. Deng, M. Dong, L. Shi, and J. Zhang: J. Iron. Steel Res. Int., 2012, vol. 19, pp. 1–6. https://doi.org/10.1016/S1006-706X(12)60051-X.
X. **, Y. Gong, X. Han, H. Du, W. Ding, B. Zhu, Y. Zhang, Y. Feng, M. Ma, B. Liang, Y. Zhao, Y. Li, J. Zheng, and Z. Shi: Acta Metall. Sin., 2020, vol. 56, pp. 411–28. https://doi.org/10.11900/0412.1961.2019.00381.
J. Majta and A. Bator: J. Mater. Process. Technol., 2002, vol. 125, pp. 77–83. https://doi.org/10.1016/S0924-0136(02)00288-1.
D. Pan, H. Zhong, Q. Guo, Y. Li, Y. **ao, and K. Zhang: Mater. Lett., 2022, vol. 327, p. 133028. https://doi.org/10.1016/j.matlet.2022.133028.
Z. Niu, Z. Cai, and M. Zhu: Ironmak. Steelmak., 2020, vol. 47, pp. 1135–47. https://doi.org/10.1080/03019233.2019.1674590.
Y. Sheng, X. Meng, X. Liu, and Z. Zhou: Steel Res. Int., 2023, vol. 94, p. 2200874. https://doi.org/10.1002/srin.202200874.
A. Maurya, R. Kumar, and P. Jha: J. Manuf. Process., 2020, vol. 60, pp. 596–607. https://doi.org/10.1016/j.jmapro.2020.11.003.
J. Mahmoudi: J. Manuf. Process., 2022, vol. 77, pp. 561–87. https://doi.org/10.1016/j.jmapro.2022.03.035.
S. Yu, M. Long, D. Chen, H. Fan, H. Yu, H. Duan, X. **e, and T. Liu: J. Mater. Process. Technol., 2019, vol. 270, pp. 157–67. https://doi.org/10.1016/j.jmatprotec.2019.02.009.
C. Dürr, I. Rapaport, and G. Theyssier: Theor. Comput. Sci., 2004, vol. 322, pp. 355–68. https://doi.org/10.1016/j.tcs.2004.03.017.
M. Zappulla, S. Cho, S. Koric, H. Lee, S. Kim, and B. Thomas: J. Mater. Process. Technol., 2019, vol. 278, p. 116469. https://doi.org/10.1016/j.jmatprotec.2019.116469.
S. Shahane, N. Aluru, P. Ferreira, S. Kapoor, and S. Vanka: J. Manuf. Process., 2020, vol. 51, pp. 130–41. https://doi.org/10.1016/j.jmapro.2020.01.016.
M. Long, D. Chen, Q. Wang, D. Luo, Z. Han, Q. Liu, and W. Gao: Ironmak. Steelmak., 2012, vol. 39, pp. 370–77. https://doi.org/10.1179/1743281211Y.0000000088.
H. Nakada, M. Susa, Y. Seko, M. Hayashi, and K. Nagata: ISIJ Int., 2008, vol. 48, pp. 446–53. https://doi.org/10.2355/isi**ternational.48.446.
R. Saraswat, D.M. Maijer, P.D. Lee, and K.C. Mills: ISIJ Int., 2007, vol. 47, pp. 95–104. https://doi.org/10.2355/isi**ternational.47.95.
W. Song, J. Zhang, Y. Liu, S. Wang, and B. Wang: Ironmak. Steelmak., 2015, vol. 42, pp. 656–63. https://doi.org/10.1179/1743281215Y.0000000011.
S. Mosayebidorcheh and M. Gorji-Bandpy: Appl. Therm. Eng., 2017, vol. 118, pp. 724–33. https://doi.org/10.1016/j.applthermaleng.2017.03.031.
R. Hardin, K. Liu, A. Kapoor, and C. Beckermann: Metall. Mater. Trans. B, 2003, vol. 34B, pp. 297–306. https://doi.org/10.1007/s11663-003-0075-0.
T. Wang, S. Cai, J. Xu, Y. Du, J. Zhu, J. Xu, and T. Li: Ironmak. Steelmak., 2010, vol. 37, pp. 341–46. https://doi.org/10.1179/030192310X12683045806026.
B. Thomas and L. Zhang: ISIJ Int., 2001, vol. 41, pp. 1181–93. https://doi.org/10.2355/isi**ternational.41.1181.
A. Pourfathi and R. Tavakoli: Int. J. Therm. Sci., 2023, vol. 183, p. 107860. https://doi.org/10.1016/j.ijthermalsci.2022.107860.
M. Zhu and C. Hong: ISIJ Int., 2002, vol. 42, pp. 520–26. https://doi.org/10.2355/isi**ternational.42.520.
H. Rafii-Tabar and A. Chirazi: Phys. Rep. Rev. Sect. Phys. Lett., 2002, vol. 365, pp. 145–249. https://doi.org/10.1016/S0370-1573(02)00028-5.
Y. Tan and H. Wang: J. Mater. Sci., 2012, vol. 47, pp. 5308–16. https://doi.org/10.1007/s10853-012-6417-z.
Z. Zhang, M. Wu, H. Zhang, S. Hahn, F. Wimmer, A. Ludwig, and A. Kharicha: J. Mater. Process. Technol., 2022, vol. 301, p. 117434. https://doi.org/10.1016/j.jmatprotec.2021.117434.
Acknowledgments
The financial supports from the National Key Research and Development Program of China (No. 2021YFB3702401), the National Science Foundation of China (52304360) and the Open Foundation of the State Key Laboratory of Advanced Metallurgy, University of Science and Technology Bei**g, China (K22-07) and the Key Research and Development Program of **angjiang Laboratory (22XJ01002) are greatly acknowledged.
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Lu, J., Pan, W., Wang, W. et al. Full-Process Numerical Simulation of Flow, Heat Transfer and Solidification for Hot Stam** Steel Manufactured via Thin Slab Continuous Casting Process. Metall Mater Trans B (2024). https://doi.org/10.1007/s11663-024-03177-0
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DOI: https://doi.org/10.1007/s11663-024-03177-0