• DocumentCode
    1395484
  • Title

    Design, Implementation, and Testing of Advanced Virtual Coordinate-Measuring Machines

  • Author

    Hu, Yang ; Yang, Qingping ; Sun, Xizhi

  • Author_Institution
    Sch. of Eng. & Design, Brunel Univ., Uxbridge, UK
  • Volume
    61
  • Issue
    5
  • fYear
    2012
  • fDate
    5/1/2012 12:00:00 AM
  • Firstpage
    1368
  • Lastpage
    1376
  • Abstract
    Advanced virtual coordinate-measuring machines (CMMs) (AVCMMs) have recently been developed at Brunel University, which provide vivid graphical representation and powerful simulation of CMM operations, together with Monte-Carlo-based uncertainty evaluation. In an integrated virtual environment, the user can plan an inspection strategy for a given task, carry out virtual measurements, and evaluate the uncertainty associated with the measurement results, all without the need of using a physical machine. The obtained estimate of uncertainty can serve as a rapid feedback for the user to optimize the inspection plan in the AVCMM before actual measurements or as an evaluation of the measurement results performed. This paper details the methodology, design, and implementation of the AVCMM system, including CMM modeling, probe contact and collision detection, error modeling and simulation, and uncertainty evaluation. This paper further reports experimental results for the testing of the AVCMM.
  • Keywords
    Monte Carlo methods; coordinate measuring machines; graphical user interfaces; inspection; measurement uncertainty; test equipment; virtual instrumentation; AVCMM system design; CMM modeling; Monte Carlo-based uncertainty evaluation; advanced virtual coordinate measuring machine testing; collision detection; error modeling; error simulation; graphical representation; inspection plan optimization; probe contact; uncertainty estimation; virtual measurements; Coordinate measuring machines; Inspection; Measurement uncertainty; Probes; Solid modeling; Uncertainty; Vectors; Advanced virtual coordinate-measuring machine (AVCMM); Monte Carlo method; finite-element modeling; uncertainty evaluation;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2011.2175828
  • Filename
    6099614