• DocumentCode
    2448049
  • Title

    Decarburization automatic prediction system in RH degasser

  • Author

    Zhang, Gui-Fang ; Chen, Yong

  • Author_Institution
    Inst. of Technol., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2010
  • fDate
    24-27 Aug. 2010
  • Firstpage
    986
  • Lastpage
    989
  • Abstract
    The decarburization predication model was used to detection of carbon content in RH degasser. Decarburization predication system in RH degasser uses computer technology to analyze on-line data, to study the relation between the carbon content and the difference type molten steel data and processing data and to recognize carbon content of the steel with expert knowledge. The recognizing results can be obtained before molten steel enter RH degasser. So, corresponding countermeasure can be used to treat molten steel. On the basis of fully integrated in the RH treatment if steel processing conditions, according to decarburization mathematical model, the components of the system on decarburization prediction was established by computer langue C.
  • Keywords
    C language; liquid metals; production engineering computing; steel manufacture; IF steel; RH degasser; carbon content recognition; computer langue C; decarburization automatic prediction system; molten steel; steel processing; Biological system modeling; Carbon; Computational modeling; Computers; Mathematical model; Steel; RH degasser; automatic prediction system; decarburization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Education (ICCSE), 2010 5th International Conference on
  • Conference_Location
    Hefei
  • Print_ISBN
    978-1-4244-6002-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2010.5593397
  • Filename
    5593397