• DocumentCode
    1539330
  • Title

    Laminae-based feature recognition

  • Author

    Lim, T. ; Corney, J. ; Clark, D.E.R.

  • Author_Institution
    Dept. of Mech. & Chem. Eng., Heriot-Watt Univ., Edinburgh, UK
  • Volume
    23
  • Issue
    9
  • fYear
    2001
  • fDate
    9/1/2001 12:00:00 AM
  • Firstpage
    1043
  • Lastpage
    1048
  • Abstract
    Motivated by the needs of mould and die manufacturers, this paper presents a novel approach to recognizing shape features on geometric models composed of both simple and complex ruled surfaces. The algorithm described uses a network of adjacent 2D-laminae (i.e., bounded surfaces) derived from a component´s CAD model to both locate and create generic protrusion and depression feature volumes. The approach also enables the automatic generation of alternative feature descriptions and requires no predefined feature libraries
  • Keywords
    CAD/CAM; computational geometry; edge detection; feature extraction; solid modelling; 2D-laminae; 3D models; CAD/CAM; bounded surfaces; depression feature; feature extraction; geometric feature recognition; geometric models; mould manufacture; protrusion feature; Computer aided manufacturing; Computer numerical control; Design automation; Geometry; Libraries; Machining; Pulp manufacturing; Shape; Solid modeling; Virtual manufacturing;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.955117
  • Filename
    955117