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

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

    Research output: Contribution to journalArticlepeer-review

    Abstract

    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
    Volume25
    Issue numberC
    DOIs
    Publication statusPublished - 2014
    Event8th international conference on Digital Enterprise Technology - Stuttgart, Germany
    Duration: 25 Mar 201428 Mar 2014

    Bibliographical note

    8th International Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution.

    © 2014 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

    Funding: EPSRC funded Industrial Doctorate Centre in Systems (Grant EP/G037353/1).

    Keywords

    • data-driven manufacturing
    • machine tool metrology
    • on-machine measurement (OMM)
    • on-machine verification (OMV)
    • sample inspection

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