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Steel in Translation

, Volume 47, Issue 4, pp 267–273 | Cite as

Reducing the edge deformation of thin electrical steel sheet

  • Yu. N. LoginovEmail author
  • M. P. Puzanov
  • A. G. Uritskii
Article
  • 24 Downloads

Abstract

The edge deformation of cold-rolled electrical-steel sheet in finishing is studied, as well as the change in flatness of the sheet in rolling and heat treatment. The influence of these processes on the edge deformation is determined. The edge deformation is largely due to thermal deformation occurring when coils of strip are heated in cupola furnaces. Quantitative analysis indicates that the thermal deformation is due to the temperature gradients in the coils. Cold-rolling conditions that minimize edge deformation are proposed and tested.

Keywords

electrical steel flatness cold rolling high-temperature annealing thermal deformation temperature field cupola furnace 

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References

  1. 1.
    Garber, E.A., Pavlov, S.I., Kuznetsov, V.V., et al., Influence of unstable technological factors of rolling on the flatness of cold-rolled strips, Proizvod. Prokata, 2008, no. 11, pp. 2–13.Google Scholar
  2. 2.
    Maksimov, E.A., Experimental analysis of the kinematic criterion of flatness and the conditions for the formation of defects in the shape of cold rolled strips, Izv. Vyssh. Uchebn. Zaved., Tsvetn. Metall., 2011, no. 2, pp. 39–43.Google Scholar
  3. 3.
    Shestakov, A.V., Traino, A.I., Makushin, A.D., et al., Improvement of rolling modes for soft magnetic strips using mathematical models, Proizvod. Prokata, 2011, no. 7, pp. 18–22.Google Scholar
  4. 4.
    Loginov, Yu.N. and Puzanov, M.P., Influence of the shape of the neutral section in the deformation center on the estimated pressure during cold rolling, Stal’, 2016, no. 11, pp. 36–40.Google Scholar
  5. 5.
    Nikitina, N.V., Babkin, A.G., Khar’kov, V.K., et al., The efficiency of counter-flexion of working rolls in a quarto 1700 tempering mill, Proizvod. Prokata, 2010, no. 5, pp. 20–23.Google Scholar
  6. 6.
    Poletskov, P.P., Dynamics of the parameters of the profile and flatness of sheet metal during smelting by stretching with bending, Vestn. Magnitogorsk. Gos. Tekh. Univ. im. G.I. Nosova, 2011, no. 3, pp. 60–62.Google Scholar
  7. 7.
    Solovei, V.D., Loginov, Yu.N., and Puzanov, M.P., Evaluating the flow stress of electrical steel under cold rolling in terms of the strain-rate hardening effect, AIP Conf. Proc., 2016, vol. 1785, pp. 040075-1–040075-4.CrossRefGoogle Scholar
  8. 8.
    Bozhkov, A.I., Gubarev, V.Ya., and Degtev, S.S., Improvement of the flatness of the strips of electrotechnical isotropic steels. Part 1. Analysis of temperature fields during continuous annealing, Proizvod. Prokata, 2013, no. 6, pp. 11–19.Google Scholar
  9. 9.
    Karenina, L.S. and Puzhevich, R.B., Inspection of the residual curvature in an anisotropic electrical steel strip reasons for its formation, Russ. J. Nondestructive Test., 2010, vol. 46, no. 3, pp. 222–225.CrossRefGoogle Scholar
  10. 10.
    Denisov, P.I., Nekit, V.A., Chernov, N.K., and Khoznikov, V.S., Transformation of non-flatness of rolling bimetallic materials at the finishing stage of production, Elektron. Tekhn., Ser. 8: Uprav. Kach. Standart., 1981, no. 5, pp. 3–4.Google Scholar
  11. 11.
    Bel’skii, S.M., Mazur, I.P., Dozhdikov, V.I., and Vasil’ev, V.B., Control of flatness of rolled strips based on mathematical model of distribution of longitudinal stresses, Vestn. Tambov. Univ., Estestv. Tekh. Nauki, 2013, vol. 18, no. 1, pp. 17–22.Google Scholar
  12. 12.
    Förster, E. and Rönz, B., Methoden der Korrelationsund Regressionsanalyse, Berlin: Die Wirtschaft, 1979.Google Scholar

Copyright information

© Allerton Press, Inc. 2017

Authors and Affiliations

  • Yu. N. Loginov
    • 1
    Email author
  • M. P. Puzanov
    • 1
  • A. G. Uritskii
    • 2
  1. 1.Yeltsin Ural Federal UniversityYekaterinburgRussia
  2. 2.OOO VIZ-Stal’NLMK GroupYekaterinburgRussia

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