• DocumentCode
    532233
  • Title

    Mixed inference combining CBR and RBR in the intellectualized CAD system of automotive welding jig

  • Author

    Zhang, Junhua ; Yao, Chunling

  • Author_Institution
    Sch. of Electromech. & Automotive Eng., Yantai Univ., Yantai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    A knowledge-based intellectualized CAD system of automotive welding jig is proposed firstly. And then the repository that consists of process repository and design repository including design rule repository, module repository and case repository is discussed. So the method of object-oriented knowledge representation is used to construct the repository. The mixed inference combining CBR (Case-Based Reasoning) and RBR (Rule-Based Reasoning) is applied to the intellectualized design of the automotive welding jig. As a result, the knowledge-based intellectualized CAD system of automotive welding jig is developed. The initial intellectualized design of automotive welding jigs on single work station can be completed using the system.
  • Keywords
    CAD; automotive engineering; case-based reasoning; design engineering; production engineering computing; welding; automotive welding jig; case repository; case-based reasoning; design rule repository; intellectualized design; knowledge-based intellectualized CAD system; mixed inference combining; module repository; object-oriented knowledge representation; process repository; rule-based reasoning; Automotive engineering; Clamps; Databases; Educational institutions; Libraries; Welding; Automotive Welding Jig; CAD; CBR; RBR; Repository;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620184
  • Filename
    5620184