• DocumentCode
    582848
  • Title

    On digital sampling for free-form surface in reverse engineering

  • Author

    Zhihong, Chen ; Hairong, Fang ; Yuefa, Fang

  • Author_Institution
    Sch. of Mech. & Electron. Control Eng., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    7565
  • Lastpage
    7569
  • Abstract
    High-efficiency and high-accuracy digital measurement for free-form surfaces is most important in reverse engineering. In this paper, a intelligent and high-efficiency sampling approach is presented. The coordinate measuring machine carry point laser probe to track the free-form surface. In the process of line-by-line sampling, the spacing of sampling lines can be automatically adjusted to obviously reduce the amount of point clouds. Sampling points´ coordinate is predicted to improve the accuracy when the measuring is high-speed and non-stop. A workpiece with free-form surface is tentative measured and the point clouds that can used to be reconstructed by mastercam is processing via removing burrs and convex method. Finally, experimental results verify the effectiveness of the sampling method.
  • Keywords
    CAD/CAM; computational geometry; coordinate measuring machines; mechanical engineering computing; object tracking; optical scanners; reverse engineering; sampling methods; burr removal; convex method; coordinate measuring machine; digital sampling; free-form surface tracking; high-accuracy digital measurement; high-efficiency digital measurement; line-by-line sampling process; point cloud reduction; point laser probe; reverse engineering; Control engineering; Coordinate measuring machines; Educational institutions; Electronic mail; Reverse engineering; Surface reconstruction; Surface treatment; Adaptive sampling; Data processing; Free-form surface; Reverse engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6391282