• DocumentCode
    2741315
  • Title

    The Research of CVC Roll Shape and Grinding in the ICNCS of Roll Grinder

  • Author

    Bi, Junxi ; Yu, Tao

  • Author_Institution
    CIMS & Robot Center, Shanghai Univ.
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    8011
  • Lastpage
    8014
  • Abstract
    Continuously variable crown (CVC) roll is an effective method for controlling the flatness and shape of strip in the modern manufacturing industry. The key issue in the development of the CVC roll is the design and intelligent grinding technology of the roll shape. In this paper, a new simple least square method is adapted to design the CVC roll shape curve. This method is propitious to minimize the axial force of CVC work roll and to improve accuracy of it than traditional method. In this study, intelligent expert system based on knowledge library is applied to intelligent CNC system (ICNCS) of roll grinder. The use of intelligent grinding technology is beneficial to improving the accuracy of CVC roll grinding
  • Keywords
    computerised numerical control; expert systems; grinding; grinding machines; intelligent control; least squares approximations; production engineering computing; rolling; shape control; strips; axial force; computerised numerical control; continuously variable crown roll; intelligent CNC system; intelligent expert system; intelligent grinding technology; knowledge library; least square method; roll grinder; roll shape curve; strip flatness control; strip shape control; Computer integrated manufacturing; Computer numerical control; Functional programming; Grinding machines; Intelligent control; Intelligent systems; Least squares methods; Machine intelligence; Manufacturing industries; Shape control; CNC; CVC roll; Intelligent; Least Square Method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713532
  • Filename
    1713532