• DocumentCode
    397604
  • Title

    Integrated environment-adaptive virtual model objects for product modeling

  • Author

    Horváth, László ; Rudas, Imre J. ; Hancke, Gerhard ; Szakál, Anikó

  • Author_Institution
    John von Neumann Fac. of Inf., Budapest Polytech., Hungary
  • Volume
    1
  • fYear
    2003
  • fDate
    5-8 Oct. 2003
  • Firstpage
    498
  • Abstract
    In this paper, the authors discuss their recent contribution to the methodology of active product modeling and propose integrated model objects for engineering activities in mechanical systems. The purpose of the proposed model objects is to react to changes in the inside and the related modeled world by analysis of behaviors and behavior driven generation of adaptivity features for modification of model entities inside and outside the object. They are composed of elementary, structural, relationship, behavior, knowledge and adaptivity features. The proposed model objects are inherently highly integrated. An overview of product modeling introduces the authors´ approach to modeling by using the proposed model objects. Following this, the architecture of integrated, environment adaptive model objects is detailed. Then activities of integrated objects are placed on four levels of the model. Finally, integration and implementation issues are discussed.
  • Keywords
    product design; production engineering computing; adaptivity features; behavior driven generation; environment adaptive model objects; integrated model object; mechanical systems; model entities; product modeling; Africa; Application software; CADCAM; Competitive intelligence; Computer aided manufacturing; Design engineering; Informatics; Intelligent agent; Knowledge engineering; Mechanical systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2003. IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7952-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2003.1243864
  • Filename
    1243864