• DocumentCode
    510167
  • Title

    Fuzzy Synthetic Evaluation on Forming Performance of Stamped Parts

  • Author

    Ji Tingwei ; Gao Jun ; Zhao Guoqun

  • Author_Institution
    Center for Eng. & Sci. Comput., Zhejiang Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    88
  • Lastpage
    92
  • Abstract
    Fuzzy synthetic evaluation is an effective decision-making method in the comprehensive evaluation of things affected by multiple factors. During the evaluation, the evaluation results are expressed in the fuzzy sets, but not denoted in the positive or negative manner absolutely. When evaluating the stamping performance, die engineers generally used some descriptions as ¿good forming performance¿, ¿bad forming performance¿, ¿able to form¿, and etc., to assess the stamped parts. However all these descriptions were fuzzy conceptions in a great extent. In order to solve these problems, fuzzy synthetic evaluation method was utilized in this paper to evaluate the forming performance of the stamped parts. Firstly, the influencing factor set including shape complexity factors, material performance factors, precision factors, etc., was established. Secondly, the evaluation set was built based on the evaluation results of the forming performance. Then, the evaluation weight set of forming performance was constructed according to the different effects of each factor. Finally, the forming performance of a typical stamped part was evaluated based on the developed fuzzy synthetic evaluation model, and the perfect result was achieved.
  • Keywords
    decision making; dies (machine tools); fuzzy set theory; metal stamping; precision engineering; production engineering computing; sheet metal processing; decision making; die engineer; forming performance; fuzzy set; fuzzy synthetic evaluation; material performance; precision factor; shape complexity; sheet metal forming; stamped part; stamping performance; Artificial intelligence; Computational intelligence; Computer errors; Design engineering; Finite element methods; Fuzzy sets; Knowledge engineering; Materials science and technology; Process design; Shape; Forming Performance; Fuzzy Synthetic Evaluation; Stamped Parts; decision-making method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.368
  • Filename
    5376392