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A Model for Temperature Prediction of Melted Steel in the Electric Arc Furnace (EAF)

  • Marcin Blachnik
  • Krystian Mączka
  • Tadeusz Wieczorek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6114)

Abstract

A constant aspiration to optimize electric arc steelmaking process causes an increase of the use of advanced analytical methods for the process support. The goal of the paper is to present the way to predict temperature of melted steel in the electric arc furnace and consequently, to reduce the number of temperature measurements during the process. Reducing the number of temperature measurements shortens the time of the whole process and allows increasing production.

Keywords

Mean Square Error Liquid Steel Temperature Prediction Programmable Logic Controller Metal Scrap 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Marcin Blachnik
    • 1
  • Krystian Mączka
    • 1
  • Tadeusz Wieczorek
    • 1
  1. 1.Department of Management and Computer ScienceSilesian University of TechnologyKatowicePoland

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