• DocumentCode
    2609486
  • Title

    Surface profile tolerance measuring method using kriging method

  • Author

    Kim, J.S. ; Choi, H.G.

  • Author_Institution
    Sungkyunkwan Univ., Suwon
  • fYear
    2007
  • fDate
    2-4 Dec. 2007
  • Firstpage
    723
  • Lastpage
    728
  • Abstract
    The measuring time required to inspect a machined part using a coordinate measuring machine (CMM), especially for a given form or profile tolerance, should be minimized and this can be achieved by reducing the number of sample points obtained from a machined surface. In this paper, variogram and kriging models, both well-known, are evaluated in terms of the degrees of prediction accuracy given in an NURBS surface and machined surface. The Gaussian variogram model and ordinary kriging model are utilized to predict the machined surface profiles. For faster inspection, the number of sample data is reduced by using a modified median filtering based on both models. Finally, both maximum and minimum points on a machined surface are searched in order to inspect a given tolerance range by using the geometric similarity and a sphere. The research results presented here will be valuable in enabling the use of a 3-axis CMM rather than the more expensive 5-axis CMM.
  • Keywords
    Gaussian processes; coordinate measuring machines; inspection; machining; median filters; statistical analysis; Gaussian variogram model; NURBS surface; coordinate measuring machine; geometric similarity; inspection; kriging; machined part; machined surface; median filtering; surface profile tolerance measuring; Accuracy; Coordinate measuring machines; Filtering; Industrial engineering; Predictive models; Shape measurement; Spline; Surface reconstruction; Surface topography; Time measurement; CMM; Geometric tolerance; Kriging; Surface profile;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1529-8
  • Electronic_ISBN
    978-1-4244-1529-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2007.4419285
  • Filename
    4419285