• DocumentCode
    2757845
  • Title

    Research on Product Structure Model for Variant Design

  • Author

    Xu, Xinsheng ; Fang, Shuiliang ; Gu, Xinjian

  • Author_Institution
    Inst. of Contemporary Manuf. Eng., Zhejiang Univ.
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    6777
  • Lastpage
    6781
  • Abstract
    Rapid product variant design (RPVD) needs a logical product structure model. According to the requirement of RPVD, a product structure model was investigated based on tabular layouts of article characteristics and graphs. The part structure model was established which described the key design parameters and dimensional relationships of part. The assembly structure model was established which described the mating relationships among constituent parts. Based on these models, constraint group (CG) that captured the physical contacts and dimensional relationships among constituent parts at the manufacturing feature level were identified. Therefore, the variant design of product can be carried out. Finally, a prototypical system was developed to verify the feasibility of principle. The application results indicated that new and individual product could be obtained from the existing mature component designs rapidly
  • Keywords
    graph theory; manufacturing systems; product customisation; product design; rapid prototyping (industrial); constraint group; graphs; product structure model; rapid product variant design; Assembly; Character generation; Computer integrated manufacturing; Costs; Educational products; Educational programs; Electronic mail; Product design; Topology; Virtual manufacturing; assembly structure model; constraint groups; part structure model; product structure model; variant design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1714396
  • Filename
    1714396