• DocumentCode
    3138260
  • Title

    Study of mould breakout prediction technique in continuous casting production

  • Author

    Li, Wentao ; Li, Yang ; Zhang, Yuan

  • Author_Institution
    Sch. of Inf. Eng., IMUST, Baotou, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2966
  • Lastpage
    2970
  • Abstract
    This paper introduced a kind of mould breakout prediction method in steel continuous casting production, which is based on mould friction, thermocouple temperature and process parameters. At first authors analyzed characteristics of existing breakout prediction systems, influence factors on breakout, and feasibility that mould friction is used to estimate breakout; and then investigated mould friction online application method; after comparing the temperature characteristics of thermocouple laid in the mould walls at normal and abnormal conditions, founded the horizontal group-thermocouples judge model; finally, established BP neural network and dynamic fuzzy neural network by MATLAB which combined with horizontal group-thermocouples judge model to confirm the breakout phenomenon. [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
  • Keywords
    backpropagation; casting; friction; fuzzy neural nets; moulding; production engineering computing; quality control; sheet metal processing; steel; BP neural network; FeCJkJk; breakout estimation; continuous casting production; dynamic fuzzy neural network; mould breakout prediction technique; mould friction; sheet; steel; thermocouple temperature; Artificial neural networks; Casting; Friction; Slabs; Temperature measurement; Temperature sensors; breakout prediction; continuous casting; friction; mould; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639335
  • Filename
    5639335