Articles
  • Use of Machine Learning for modelling the wear of MgO-C refractories in Basic Oxygen Furnace

  • Sebastian Sadoa,b,*, Wiesław Zelika and Ryszard Lechb

  • aZaklady Magnezytowe “ROPCZYCE” S.A Research and Development Centre of Ceramic Materials
    bAGH University of Science and Technology

  • This article is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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This Article

  • 2022; 23(4): 421-429

    Published on Aug 31, 2022

  • 10.36410/jcpr.2022.23.4.421
  • Received on Dec 24, 2021
  • Revised on Feb 12, 2022
  • Accepted on Feb 23, 2022

Correspondence to

  • Sebastian Sado

  • aZaklady Magnezytowe “ROPCZYCE” S.A Research and Development Centre of Ceramic Materials
    bAGH University of Science and Technology
    Tel : +48601571270

  • E-mail: sebastian.sado@ropczyce.com.pl