• DocumentCode
    3502851
  • Title

    Knowledge-based system for assembly process-planning

  • Author

    Rabemanantsoa, M.

  • Author_Institution
    Dept. de Genie Ind., Ecole Poly. de Montreal, Que.
  • fYear
    1993
  • fDate
    30 Aug-3 Sep 1993
  • Firstpage
    267
  • Lastpage
    272
  • Abstract
    The paper discusses the feasibility of coupling AI (artificial intelligence) with an object-oriented database in the CAD/CAM environment. The products or parts are designed with the parametric and feature-based solid modeling Pro/Engineer. The authors go beyond data structures to integrate information about the assembly knowledge base. They design an object-oriented database called SISDES for modeling the data along with handling logic based reasoning of graph representation. The output is a knowledge-based system which integrates automated feature-recognition plus position and orientation needed for part mating. In this context, they define the possibility of contact and relative mobility for each pair of components. This latter becomes part of an AI module called XGEN (Assembly Sequences Generation) developed for knowledge processing and generating assembly sequence, i.e. the CAM activities
  • Keywords
    CAD/CAM; computer aided production planning; deductive databases; knowledge based systems; object-oriented databases; AI; Assembly Sequences Generation; CAD/CAM environment; Pro/Engineer; SISDES; XGEN; artificial intelligence; assembly knowledge base; assembly process-planning; data structures; feature-based solid modeling; feature-recognition; graph representation; logic based reasoning; object-oriented database; part mating; Artificial intelligence; Assembly systems; CADCAM; Computer aided manufacturing; Design automation; Design engineering; Knowledge based systems; Object oriented databases; Solid modeling; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Standards Symposium, 1993. Proceedings., 1993
  • Conference_Location
    Brighton
  • Print_ISBN
    0-8186-4240-8
  • Type

    conf

  • DOI
    10.1109/SESS.1993.263943
  • Filename
    263943