• DocumentCode
    2023654
  • Title

    A real-time thermal model for the intelligent control of cooling systems for hot strip mill work rolls

  • Author

    Campos, A.M. ; García, D.F. ; Usamentiaga, R. ; De Abajo, N. ; González, J.A.

  • Author_Institution
    Dept. of Informatics, Oviedo Univ., Asturias, Spain
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1074
  • Abstract
    This article describes a mathematical model which calculates, in real time, the temperature and the thermal expansion of the work rolls of hot strip mills. These results are used to feed a real-time expert system, which controls the cooling system of the work rolls. These two magnitudes can not be measured online which, over the last few decades, has motivated several authors to develop different models to obtain the thermal evolution of the work rolls of hot strip mills. However, while their motivation was to achieve the greatest possible accuracy working off-line, the motivation of this work is very different: to achieve a mathematical model that, while maintaining acceptable accuracy, is capable of providing results in real-time and with the minimum consumption of computational resources
  • Keywords
    computational complexity; cooling; hot rolling; intelligent control; process control; real-time systems; steel industry; thermal variables control; computational resource minimisation; cooling systems; expert system control; hot strip mill work rolls; intelligent control; mathematical model; real-time expert system; real-time thermal model; temperature calculation; thermal expansion calculation; Cooling; Expert systems; Feeds; Intelligent control; Mathematical model; Milling machines; Real time systems; Strips; Temperature; Thermal expansion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
  • Conference_Location
    Nagoya
  • Print_ISBN
    0-7803-6456-2
  • Type

    conf

  • DOI
    10.1109/IECON.2000.972272
  • Filename
    972272