• DocumentCode
    2746526
  • Title

    Application of Fuzzy Evaluation Method for Quality Classification in Intelligent Straightening System

  • Author

    Wang Xiao-Lin ; Qing Zhao-bo

  • Author_Institution
    Mech. & Electron. Dept., Jiliang Univ. of China, Hangzhou, China
  • Volume
    3
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    64
  • Lastpage
    68
  • Abstract
    Hydraulic straightening machines are applied in the manufacturing field extensively. For different kind of products the straightening methods are disparate. Viewing research results from multi-sides, there are two main-streams: 1) Considering spring-back straightening method. 2) Assisting straightening method used digital modeling (for example, FEM, finite element method). According to straightening technology characteristics of big steel beam, the intelligent method of self-study is put forward to assist straightening, and then realization mechanism of intelligent system is analyzed. For the purpose of realizing stability control on straightening quality, the process flow of intelligent system is designed. Finally, the implementation module of ensuring quality consistency is described, and the quality evaluation method is designed.
  • Keywords
    control engineering computing; fuzzy set theory; hydraulic systems; mechanical engineering computing; quality control; stability; digital modeling; fuzzy evaluation method; hydraulic straightening machines; intelligent straightening system; quality classification; quality evaluation method; spring-back straightening method; stability control; steel beam; Control systems; Design methodology; Finite element methods; Fuzzy systems; Intelligent manufacturing systems; Intelligent systems; Machine intelligence; Stability; Steel; Structural beams; fuzzy evaluation; intelligence; quality stability; straightening;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.85
  • Filename
    5358899