Skip to main content
Log in

A 3D model coupled inverse algorithm for the non-uniform thermal behavior of a continuous casting mold

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

A 3D finite element model of a copper plate in a continuous casting mold, including arc-shaped water slots and a nickel layer with increasing thickness, was built to reflect the flexible and non-uniform thermal behavior of the mold during wide-thick slab continuous casting. The inverse algorithm was applied to calculate the heat flux from temperatures measured by thermocouples, which were buried in various locations inside the mold. The model can reflect the real thermal behavior of the mold wall and further evaluate the effects of the nickel layer and water slots on heat transfer of mold. Along the casting direction, the temperature peaks appear approximately 100 mm below the meniscus. The temperature gradient in the nickel layer in the thickness direction is larger than that in the copper plate. The average temperature at the root of deepwater slots is higher than that of shallow ones by 10 °C. The model can further improve casting parameters and operations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Liu Y, Wang XD, Du FM, Yao M, Gao YL, Wang FW, Wang JY (2017) Computer vision detection of mold breakout in slab continuous casting using an optimized neural network. Int J Adv Manuf Technol 88(1):557–564

    Article  Google Scholar 

  2. Du FM, Wang XD, Yu GF, Yan ZJ, Zhu XH, Xu JJ, Yao M (2018) Study on the non-uniform slab shrinkage of special steel during slab continuous casting. Ironmak Steelmak 45(5):420–425

    Article  Google Scholar 

  3. Parsunkin BN, Andreev SM, Logunova OS, Akhmetov TU (2015) Energy-saving optimal control over heating of continuous cast billets. Int J Adv Manuf Technol 79(9–12):1797–1803

    Article  Google Scholar 

  4. Wang YC, Li DY, Peng YH, Zhu LG (2007) Computational modeling and control system of continuous casting process. Int J Adv Manuf Technol 33(1–2):1–6

    Article  Google Scholar 

  5. Logunova OS, Matsko II, Posohov IA, Luk’ynov SI (2014) Automatic system for intelligent support of continuous cast billet production control processes. Int J Adv Manuf Technol 74(9–12):1407–1418

    Article  Google Scholar 

  6. Lee JE, Yeo TJ, Oh KH (2000) Prediction of cracks in continuously cast steel beam blank through fully coupled analysis of fluid flow, heat transfer, and deformation behavior of a solidifying shell. MMTA 31(1):225–237

    Article  Google Scholar 

  7. Luo X, Chen Y, Shen HF (2008) Thermomechanical behavior in continuous bloom casting with different mold tapers. Tsinghua Sci Technol 13(5):598–604

    Article  Google Scholar 

  8. Cai ZZ, Zhu MY (2013) Thermo-mechanical behavior of peritectic steel solidifying in slab continuous casting mold and a new mold taper design. ISIJ Int 53(10):1818–1827

    Article  Google Scholar 

  9. Li CS, Thomas BG (2004) Thermomechanical finite-element model of shell behavior in continuous casting of steel. MMTB 34(6):1151–1172

    Article  Google Scholar 

  10. Xie X, Chen DF, Long HJ, Long MJ, Lv K (2014) Mathematical modeling of heat transfer in mold copper coupled with cooling water during the slab continuous casting process. MMTB 45(6):2442–2452

    Article  Google Scholar 

  11. Wang XD, Tang L, Zang XY, Yao M (2012) Mold transient heat transfer behavior based on measurement and inverse analysis of slab continuous casting. J Mater Process Technol 212:1811–1818

    Article  Google Scholar 

  12. Zhou J, Peng X, Qin Y (2009) A coupled thermal–mechanical analysis of a mold-billet system during continuous casting. Int J Adv Manuf Technol 42(5–6):421–428

    Google Scholar 

  13. Chow C, Samarasekera IV, Walker BN, Lockhart G (2002) High speed continuous casting of steel billets. Part2: mould heat transfer and mould design. Ironmak Steelmak 29(1):61–69

    Article  Google Scholar 

  14. O’Connor TG, Dantzig JA (1994) Modeling the thin-slab continuous-casting mold. MMTB 25(3):443–457

    Article  Google Scholar 

  15. Thomas BG (1995) Issues in thermal-mechanical modeling of casting processes. ISIJ Int 35:737–743

    Article  Google Scholar 

  16. Liu XD, Zhu MY (2006) Finite element analysis of thermal and mechanical behavior in a slab continuous casting mold. ISIJ Int 46:1652–1659

    Article  Google Scholar 

  17. Yang G, Li BK, Yu Y, Qi FS (2007) Three dimensional heat transfer of cooling copper plate of thin slab continuous casting mold. Acta Metall Sin 43:332–336

    Google Scholar 

  18. Yin HB, Yao M (2006) Inverse problem-based analysis on non-uniform profiles of thermal resistance between strand and mould for continuous round billets casting. J Mater Process Technol 183(1):49–56

    Article  Google Scholar 

Download references

Funding

We would like to thank the China Postdoctoral Science Foundation (2017M611209), the Natural Science Foundation of Liaoning Province (20170540083), and the National Natural Science Foundation of China (51704073).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fengming Du.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mi, Z., Du, F., Wang, J. et al. A 3D model coupled inverse algorithm for the non-uniform thermal behavior of a continuous casting mold. Int J Adv Manuf Technol 109, 2431–2439 (2020). https://doi.org/10.1007/s00170-020-05780-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-020-05780-2

Keywords

Navigation