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Strip shape modeling and its setup strategy in hot strip mill process

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Abstract

Shape setup model (SSM) plays a critical role to achieve satisfactory precision of strip shape in hot strip mill process (HSMP). However, for the design of shape model, the lack of systematic shape theory restricts the high accuracy of strip shape. In this paper, the procedure of SSM will be generally introduced and practically demonstrated with a real HSMP producing system. The mechanism of shape modeling and design strategy of SSM is introduced. Special concentration is placed on modeling and calculating the thermal extension and wear of the roll, and mathematical model of roll gap profile is set up on this basis. Then the mechanism of strip profile and flatness is introduced by revealing the shape forming process. Furthermore, the setup strategy of SSM is proposed, whose target is to calculate reference values for shape control actuators. The other focus of this paper concerns on the applicable issue of SSM integrated with the presented design approach. An Ansteel 1,700-mm HSMP line will be employed for the experimental background.

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References

  1. Pittner J, Simaan MA (2010) A useful control model for tandem hot metal strip rolling. IEEE T Ind Appl 46:2251–2258

    Article  Google Scholar 

  2. Sims RB (1954) The calculation of roll force and torque in hot rolling mills. P I Mech Eng H 168:191–200

    Article  Google Scholar 

  3. Serajzadeh S, Taheri AK, Mucciardi F (2002) Prediction of temperature distribution in the hot rolling of slabs. Model Simul Mater Sci 10:185–203

    Article  Google Scholar 

  4. Okada M, Iwasaki Y, Murayama K, Urano A, Kawano A, Shiomi H (1996) Optimal control system for hot strip finishing mill. In: Proceedings of the 35th IEEE, decision and control, 1996, vol 2. IEEE, pp 1236–1241

  5. Sato M, Kuchi M (2009) Profile and flatness set up system for rolling mill. IHI Eng Rev 42:26–31

    Google Scholar 

  6. Yang GH, Cao JG, Zhang J, Song P, Yan TL, Rao KF (2012) Profile and flatness control technology with a long shifting stroke on wide non-oriented electrical steel sheets. J Iron Steel Res Int 19:31–35

    Article  Google Scholar 

  7. Liu GM, Di HS, CHANG A, HOU ZY (2008) Discussion on design of CVC roll profile and its equivalent crown. J Northeast Univ (Natl Sci) 10:1443–6

    Google Scholar 

  8. Sikdar S, Kumari S (2009) Neural network model of the profile of hot-rolled strip. Int J Adv Manuf Tech 42:450–462

    Article  Google Scholar 

  9. Bulut B, Katebi MR, Grimble MJ (2002) Co-ordinated control of profile and shape in hot strip finishing mills with nonlinear dynamics. IEE P-Contr Theor Appl 149:471–480

    Article  Google Scholar 

  10. Peng KX, Zhang K, Li G, Zhou D (2013) Contribution rate plot for nonlinear quality-related fault diagnosis with application to the hot strip mill process. Control Eng Pract 21:360–369

    Article  Google Scholar 

  11. Lu C, Tieu AK, Jiang Z (2002) A design of a third-order CVC roll profile. J Mater Process Tech 125:645–648

    Article  Google Scholar 

  12. Colas Rafael (1995) Modelling heat transfer during hot rolling of steel strip. Model Simul Mater Sci 3:437–453

    Article  Google Scholar 

  13. Zhang XM, Jiang ZY, Tieu AK, Liu XH, Wang GD (2002) Numerical modelling of the thermal deformation of CVC roll in hot strip rolling. J Mater Process Tech 130:219–223

    Article  Google Scholar 

  14. Li CS, Liu XH, Wang GD, He XM (2002) Three-dimensional FEM analysis of work roll temperature field in hot strip rolling. Mater Sci Tech-Lond 18:1147–1150

    Article  Google Scholar 

  15. Serajzadeh S (2008) Effects of rolling parameters on work-roll temperature distribution in the hot rolling of steels. Int J Adv Manuf Tech 35:859–866

    Article  Google Scholar 

  16. Spuzic S, Strafford KN, Subramanian C, Savage G (1994) Wear of hot rolling mill rolls: an overview. Wear 176:261–271

    Article  Google Scholar 

  17. Kainz A, Parteder E, Widder M, Zeman K (2007) Elasto—plastic simulation concepts for profile transfer and flatness prediction in flat hot rolling. In: AIP conference proceedings, vol 908. p 1017

  18. Dimatteo A, Vannucci M, Colla V (2013) Prediction of hot deformation resistance during processing of microalloyed steels in plate rolling process. Int J Adv Manuf Tech 66:1511–1521

    Article  Google Scholar 

  19. Puchi-Cabrera ES, JD Gurin, Barbier D, Dubar M, Lesage J (2012) Plastic deformation of structural steels under hot-working conditions. Mat Sci Eng A-Struct 559:268–275

    Article  Google Scholar 

  20. Abdelkhalek S, Montmitonnet P, Legrand N, Buessler P (2011) Coupled approach for flatness prediction in cold rolling of thin strip. Int J Mech Sci 53:661–675

    Article  Google Scholar 

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Correspondence to Hao Zhong.

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Peng, K., Zhong, H., Zhao, L. et al. Strip shape modeling and its setup strategy in hot strip mill process. Int J Adv Manuf Technol 72, 589–605 (2014). https://doi.org/10.1007/s00170-014-5649-2

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  • DOI: https://doi.org/10.1007/s00170-014-5649-2

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