• DocumentCode
    2046765
  • Title

    A Graphical Approach to Approximate Offset Computation

  • Author

    Li, C.L. ; Zhou, Gang ; Chan, C.W.

  • Author_Institution
    Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China
  • fYear
    2009
  • fDate
    11-14 Aug. 2009
  • Firstpage
    217
  • Lastpage
    221
  • Abstract
    Generation of the offset of a curve is an important operation in many CAD/CAM applications. In the generation of CNC toolpath for 2.5D machining, the toolpath is the offset of the part boundary. A major problem in the computation of the offset of a curve is the detection and the subsequent removal of self-intersecting loop. While many different techniques have been reported in the literature, in general they are complex and not efficient. In this paper, the problem is re-formulated as a graphical problem and solved using the graphics hardware. The generation of the offset, the detection and the removal of self-intersection are achieved through a rendering process. With the recent advent in the processing power of the GPU, this process is very efficient. This new technique can be used to compute offsets of planar curves and offsets of curves on free-form surfaces.
  • Keywords
    approximation theory; computerised numerical control; curve fitting; machining; rendering (computer graphics); surface fitting; 2.5D machining; CNC toolpath generation; GPU; curve offset computation approximation; free-form surface; graphical approach; graphics hardware; part boundary; rendering process; self-intersecting loop; Automotive engineering; CADCAM; Computer aided manufacturing; Computer graphics; Computer numerical control; Equations; Machining; Polynomials; Research and development management; Visualization; offset computation; self-intersection loop removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Imaging and Visualization, 2009. CGIV '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3789-4
  • Type

    conf

  • DOI
    10.1109/CGIV.2009.46
  • Filename
    5298187