• DocumentCode
    2728129
  • Title

    Design of an open tolerance and complex surfaces inspection system based on the point cloud data

  • Author

    Zhang, Xuechang ; Zhang, Xu ; Jia, Zhixin ; Gao, Xuejun

  • Author_Institution
    Sch. of Mech. Eng., Zhejiang Univ., Ningbo, China
  • Volume
    4
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    38
  • Lastpage
    42
  • Abstract
    Complex surfaces have been more and more used in the design of parts. But inspecting complex surface parts efficiently is still a problem. The coordinate measuring machine (CMM) has an ability to inspect complex surfaces of a part, but the efficiency or the speed of inspection is low and the size of part sometime is limited because of the dimension of CMM´s working platform. An inspection system has been made for complex surface in paper. The point cloud data have been calculated by triangulation method and phase shift method. The geometry modeler as kernel is used to analyse the CAD model and calculate the deviation between the part and the CAD model. The repeatability and reliability of the inspection system are experimented to satisfy the demand of open tolerance (±0.1 mm). Finally, a lens of an automobile lamp has been inspected and the result proves the system efficiency.
  • Keywords
    CAD; computational geometry; coordinate measuring machines; inspection; mechanical engineering computing; mesh generation; CAD model; complex surface inspection system; coordinate measuring machine; geometry modeler; open tolerance; phase shift method; point cloud data; triangulation method; Clouds; Coordinate measuring machines; Design automation; Electronic mail; Inspection; Internet; Manufacturing; Mechanical engineering; Production; Solid modeling; Complex surface; Inspection; Open tolerance; Point cloud;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5357736
  • Filename
    5357736