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Friction Estimation and Roll Force Prediction during Hot Strip Rolling

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Abstract

A mathematical model of friction coefficient was proposed for the roll force calculation of hot-rolled strips. The online numerical solving method of the roll force calculation formula based on the proposed friction model was developed and illustrated by the practical calculation case. Then, the friction coefficient during hot strip rolling was estimated from the measured roll force by force model inversion. And then, the expression of friction model was proposed by analyzing the calculation process of stress state coefficient, and the model parameters were determined by the shared parameter multi-model nonlinear optimization method. Finally, the industrial experiments demonstrated the feasibility and effectiveness of the related models. The accuracy of the new roll force model based on the built friction model was much higher than that of the traditional Sims model, and it could be applied in the online hot rolling process control.

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References

  1. B. Mahdi, B. Hosein, Appl. Math. Model. 37 (2013) 4593–4607.

    Article  Google Scholar 

  2. X. H. Liu, X. L. Hu, Calculation Model of Rolling Parameters and Its Application, Chemical Industry Press, Beijing, 2007.

    Google Scholar 

  3. W. G. Li, S. B. Tan, J. B. Li, L. Li, J. Northeast. Univ. 32 (2011) 622–625.

    Google Scholar 

  4. R. B. Sims, Proc. Inst. Mech. Eng. 168 (1954) 191–200.

    Article  Google Scholar 

  5. Y. H. Li, A. Randall, W. J. Lawrence, C. A. Fryer, in: Proceedings International Conference on Steel Rolling, Association Technique de la Sidérurgie Française, Paris, France, 2006.

    Google Scholar 

  6. S. X. Chen, W. G. Li, X. H. Liu, Int. J. Mech. Sci. 89 (2014) 256–263.

    Article  Google Scholar 

  7. A. Randall, Y. H. Li, W. J. Lawrence, in: Proceedings, Aistech-conference, Association for Iron and Steel Technology, Charlotte, North Carolina, USA, 2005, pp. 785.

  8. X. C. Tan, X. T. Yan, N. P. Juster, S. Raghunathan, J. Wang, J. Mater. Process. Technol. 207 (2008) 222–234.

    Article  Google Scholar 

  9. A. Azushima, Y. Nakata, T. Toriumi, J. Mater. Process. Technol. 210 (2010) 110–115.

    Article  Google Scholar 

  10. N. Legrand, T. Lavalard, A. Martins, Wear 286–287 (2012) 8–18.

    Article  Google Scholar 

  11. F. S. Du, G. G. Wang, X. L. Zang, X. T. Li, J. Iron Steel Res. Int. 17 (2010) No. 7, 19–23.

    Article  Google Scholar 

  12. I. J. Freshwater, Int. J. Mech. Sci. 38 (1996) 633–648.

    Google Scholar 

  13. X. W. Cheng, Z. Y. Jiang, D. B. Wei, L. Hao, J. W. Zhao, L. Z. Jiang, Tribol. Int. 84 (2015) 61–70.

    Article  Google Scholar 

  14. A. K. Tieu, Q. Zhu, H. T. Zhu, C. Lu, Wear 273 (2011) 43–48.

    Article  Google Scholar 

  15. M. Nilsson, M. Olsson, Wear 307 (2013) 209–217.

    Article  Google Scholar 

  16. Z. Y. Jiang, J. Tang, W. Sun, A. K. Tieu, D. Wei, Tribol. Int. 43 (2010) 1339–1345.

    Article  Google Scholar 

  17. R. P. Brent, Engle-wood Cliffs, Prentice-Hall, New Jersey, 1973.

  18. Z. Zhang, Int. J. Exp. Algorithms 2 (2011) 21–26.

    Google Scholar 

  19. C. Lv, Z. J. Jiao, X. H. Liu, G. D. Wang, Research on Iron and Steel 114 (2010) No. 3, 32–33.

    Google Scholar 

  20. G. Zheng, Z. Yang, R. Cao, W. Zhang, H. Li, in: Proceedings of International Conference on Intelligent Robotics and Applications, Springer Berlin Heidelberg, 2012, pp. 66–75.

    Book  Google Scholar 

Download references

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Correspondence to Wei-gang Li.

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Foundation Item: Item Sponsored by Science and Technology Research Program of Hubei Ministry of Education of China (D20161103); Youth Science and Technology Program of Wuhan of China (2016070204010099)

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Li, Wg., Liu, C., Feng, N. et al. Friction Estimation and Roll Force Prediction during Hot Strip Rolling. J. Iron Steel Res. Int. 23, 1268–1276 (2016). https://doi.org/10.1016/S1006-706X(16)30187-X

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  • DOI: https://doi.org/10.1016/S1006-706X(16)30187-X

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