Automated CMM inspection planning capture and formalization

Dimitrios Anagnostakis, James Millar Ritchie, Theodore Lim, Raymond Sung, Richard Dewar

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Capturing the strategy followed during a Coordinate Measuring Machine (CMM) inspection planning session has been an extremely challenging issue due to the time-consuming nature of traditional methods, such as interviewing experts and technical documents data mining. This paper presents a methodology demonstrating how a motion capture-based system can facilitate direct and non-intrusive CMM operator logging for capturing planning strategies and representing in knowledge formats. With the use of recorded motion data, embedded knowledge and expertise can be captured automatically and formalized in various formats such as motion trajectory graphs, inspection plans, Integrated DEFinition (IDEF) model diagrams and other representations. Additionally, a part program can be generated for driving a CMM to execute component measurement. The system’s outputs can be used to help understand how a CMM inspection strategy is planned, as well as training aids for inexperienced operators and the rapid generation of part programs.
Original languageEnglish
Article number031005
JournalJournal of Computing and Information Science in Engineering
Volume18
Issue number3
Early online date2 Feb 2018
DOIs
Publication statusPublished - 12 Jun 2018

Keywords

  • Coordinate Measuring Machine (CMM)
  • Inspection planning
  • IDEF
  • Computer Aided Inspection Planning (CAIP)

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