• DocumentCode
    387571
  • Title

    Variant fixture design with CBR

  • Author

    Chen, Guang-feng ; Liu, Wen-Jian

  • Author_Institution
    Sch. of Mechatronics Eng., Harbin Inst. of Technol., China
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1465
  • Abstract
    This paper studies the variant fixture design by using case base reasoning. An algorithm for case base fixture design is proposed, and system structure for variant fixture design with CBR is constructed. The process of the algorithm for fixture design is described in detail. An effective useful fixture similarity measure by hybrid using template retrieval and nearest neighbour algorithm is proposed. With the similarity measure, the useful fixture case could be retrieved, and the system could retrieve the useful case quickly and accurately. Adaptation case modification method is described. At last, a fixture design example illustrated by the design method is proposed. The result shows the case base fixture design method promoted In this paper would be helpful to the actual fixture design activity.
  • Keywords
    case-based reasoning; intelligent design assistants; mechanical engineering computing; CBR; case based reasoning; fixture similarity measure; nearest neighbour algorithm; template retrieval; variant fixture design; Algorithm design and analysis; Artificial intelligence; Decision making; Design methodology; Fires; Fixtures; History; Job design; Machining; Mechatronics;
  • 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.2002.1167450
  • Filename
    1167450