• DocumentCode
    2466338
  • Title

    An industrial case study of feature-based in-process workpiece modeling

  • Author

    Wang, Wei ; Yingguang Li ; Shen, Weiming ; Li, Xiaoping ; Mou, Wenping

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    814
  • Lastpage
    819
  • Abstract
    Distributed, collaborative, and integrated product development with dynamic and reconfigurable manufacturing environments require more holistic information model to support its use throughout the product lifecycle. In this paper, a multiple dimensional in-process workpiece (MDIPW) is created based on dynamic feature information model (DFIM). The MDIPW is able to adjust its forms of expression through creating associations between feature-based models and manufacturing resources. These associations as representation of knowledge are embedded into the MDIPW, and make it more intelligent. The generated inprocess workpiece is a solid model which can be used for other purposes, such as inspection points generation.
  • Keywords
    inspection; knowledge representation; manufacturing systems; product life cycle management; production engineering computing; solid modelling; DFIM; MDIPW; dynamic feature information model; dynamic manufacturing environments; feature-based in-process workpiece modeling; feature-based models; holistic information model; industrial case study; inspection points generation; knowledge representation; multiple dimensional in-process workpiece; product development; product lifecycle; reconfigurable manufacturing environments; solid model; Face; Geometry; Manufacturing; Milling; Solid modeling; Solids; collaborative development; feature-based; in-process workpiece; multiple dimensional;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377828
  • Filename
    6377828