An exploration into measurement consistency on coordinate measuring machines

Per Saunders*, Alan Wilson, Nick Orchard, Neil Tatman, Paul Maropoulos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
7 Downloads (Pure)

Abstract

In high precision industry, the measurement of geometry is often performed using coordinate measuring machines (CMMs). Measurements on CMMs can occur at many places within a long and global supply chain. In this context it is a challenge to control consistency, so that measurements are applied with appropriate levels of rigour and achieve comparable results, wherever and whenever they are performed. In this paper, a framework is outlined in which consistency is controlled through measurement strategy, such as the number and location of measurement points. The framework is put to action in a case study, demonstrating the usefulness of the approach and highlighting the dangers of imposing rigid measurement strategies across the supply chain, even if linked to standardised manufacturing processes. Potential mitigations, and the requirements for future research, are outlined.

Original languageEnglish
Pages (from-to)19-26
Number of pages8
JournalProcedia CIRP
Volume25
Issue numberC
DOIs
Publication statusPublished - 10 Dec 2014
Externally publishedYes
EventInternational Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution - Stuttgart, Germany
Duration: 25 Mar 201428 Mar 2014

Bibliographical note

Funding Information:
This work was supported by the Systems Centre, the EPSRC funded Industrial Doctorate Centre in Systems (Grant EP/G037353/1), Rolls-Royce plc, and NPL (under the UK National Measurement System Engineering & Flow Metrology Programme). The authors are grateful to David Flack whose comments helped to improve and clarify the paper.

Publisher Copyright:
© 2014 The Authors.

Keywords

  • CMM
  • Simulation
  • Uncertainty

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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