• DocumentCode
    666394
  • Title

    Elevated level design intent and behavior driven feature definition for product modeling

  • Author

    Horvath, Laszlo ; Rudas, Imre J.

  • Author_Institution
    Inst. of Appl. Math., Obuda Univ., Budapest, Hungary
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    4374
  • Lastpage
    4379
  • Abstract
    One of the most dynamically developed areas of the research in engineering is definition and application of knowledge in product model. Product model is in the centre of product lifecycle management systems to support engineering activities with comprehensive representation of product information. Recently, knowledge is defined in the form of active features in the product model. When an active knowledge feature or value of its parameter changes, other feature parameters those are in contextual connection with it change according to its content. In this paper, a new modeling method is introduced to elevate active knowledge from the product feature level to the product behavior level. This allows for coordination of product definition on the behavior level. Result of a recent study on the currently applied product definition is utilized at the establishment of a connection between the proposed higher level knowledge features and the currently used active knowledge features. In the proposed modeling method, result of human intent analysis is applied at situation based generation of features in the product structure. The new method of product feature definition and the demanded new features are explained in this paper. In order to easy implementation of the proposed modeling in large modeling systems, the method of the feature driven product definition is the same as in the current leading industrial product lifecycle management systems.
  • Keywords
    product design; product life cycle management; product behavior level; product feature definition; product feature level; product information; product lifecycle management systems; product modeling; Analytical models; Context; Knowledge engineering; Mathematical model; Organizations; Product design; Solids; active knowledge for product feature generation; human-computer interaction in product development; product definition by features; product lifecycle management; situation based product modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6699839
  • Filename
    6699839