• DocumentCode
    389310
  • Title

    RBR and fuzzy comprehensive judgment method based parts locating design automation

  • Author

    Chen, Guang-feng ; Liu, Wen-Jian

  • Author_Institution
    Sch. of Mechatronics Eng., Harbin Inst. of Technol., China
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1018
  • Abstract
    Parts locating design involves a lot of information, using the rule based reasoning (RBR) alone to determine the part locating is not reliable when facing with a large amount of fuzzy information. For solving the problem, this paper presents a new hybrid approach using the fuzzy comprehensive judgment method and rule based reasoning to select the locating modes and locating references automatically for 3D parts. The approach uses RBR to find all the potential candidates for locating modes, and the location references for each locating mode. The fuzzy comprehensive judgment method is provided to optimally select locating surfaces. The realization of the approach is described in detail. An example is presented to illustrate the issues and show the effectiveness of the proposed approach.
  • Keywords
    computer aided production planning; fuzzy set theory; inference mechanisms; machining; 3D parts; fuzzy comprehensive judgment; fuzzy information; locating modes; locating references; machining; manufacturing; parts locating; rule based reasoning; Design automation; Design engineering; Fixtures; Fuzzy reasoning; Fuzzy sets; Humans; Inference algorithms; Manufacturing processes; Mechatronics; Reliability engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
  • Print_ISBN
    0-7803-7508-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2002.1174537
  • Filename
    1174537