• DocumentCode
    2607992
  • Title

    Study on Digitized Inspecting Technique for Complex Casting Part Based on Reverse Engineering

  • Author

    Ligang, Qu ; Xiaoyu, Gu

  • Author_Institution
    Sch. of Mechatron. Eng., Shenyang Inst. of Aeronaut. Eng., Shenyang, China
  • Volume
    4
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    19
  • Lastpage
    22
  • Abstract
    A digitized inspecting technique based on reverse engineering and its application workflow are put forward for measuring the complex part. It is studied on the key technologies, such as a synthetic method of spot cloud data processing based on Uniformly Sampling and Chordal Deviation Sampling, alignment with spot-cloud and CAD model of the part taking the three datum-planes as reference feature. The fabricating errors of casting part with complex structure is inspected fleetly and accurately by means of this technique. The technique can be proved as a new computer aided inspecting (CAI) technology, which can be used to solve the technical bottleneck for measuring complex part. The precision and the speed of digitized inspection are observably improved, furthermore, it is more significant for realization of automated, flexible,and digitized inspecting approach.
  • Keywords
    CAD; casting; inspection; production engineering computing; reverse engineering; CAD model; chordal deviation sampling; complex casting part; computer aided inspecting technology; digitized inspecting technique; manufacturing processing; reverse engineering; spot cloud data processing; uniformly sampling; Automation; Casting; Clouds; Computer aided instruction; Data processing; Flowcharts; Inspection; Reverse engineering; Sampling methods; Velocity measurement; Casting part with complex structure; Digitized inspection; Feature alignment; Reverse engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.313
  • Filename
    5169113