Comparison of the measurement performance of high precision multi-axis metal cutting machine tools

M. R. Verma*, E. Chatzivagiannis, D. Jones, P. G. Maropoulos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
12 Downloads (Pure)


High precision manufacturers continuously seek out disruptive technologies to improve the quality, cost, and delivery of their products. With the advancement of machine tool and measurement technology many companies are ready to capitalise on the opportunity of on-machine measurement (OMM). Coupled with business case, manufacturing engineers are now questioning whether OMM can soon eliminate the need for post-process inspection systems. Metrologists will however argue that the machining environment is too hostile and that there are numerous process variables which need consideration before traceable measurement on-the-machine can be achieved. In this paper we test the measurement capability of five new multi-axis machine tools enabled as OMM systems via on-machine probing. All systems are tested under various operating conditions in order to better understand the effects of potentially significant variables. This investigation has found that key process variables such as machine tool warm-up and tool-change cycles can have an effect on machine tool measurement repeatability. New data presented here is important to many manufacturers whom are considering utilising their high precision multi-axis machine tools for both the creation and verification of their products.

Original languageEnglish
Pages (from-to)138-145
Number of pages8
JournalProcedia CIRP
Issue numberC
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 University of Bristol Systems Centre; the EPSRC funded Industrial Doctorate Centre in Systems (Grant EP/G037353/1), Rolls-Royce plc., and the University of Bath. Special thanks are given to unnamed machine tool manufacturers, the University of Sheffield AMRC, Renishaw plc., Mr. Nicholas Orchard and Dr. Matthew Yates for their support and contribution.

Publisher Copyright:
© 2014 The Authors.


  • Data-driven manufacturing
  • Machine tool metrology
  • On-machine measurement (OMM)
  • On-machine verification (OMV)
  • Sample inspection

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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