Rapid machine tool verification

J.E. Muelaner, B.R. Yang, C. Davy, M.R. Verma, P.G. Maropoulos

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This paper describes work carried out to develop methods of verifying that machine tools are capable of machining parts to within specification, immediately before carrying out critical material removal operations, and with negligible impact on process times. A review of machine tool calibration and verification technologies identified that current techniques were not suitable due to requirements for significant time and skilled human intervention. A 'solution toolkit' is presented consisting of a selection circular tests and artefact probing which are able to rapidly verify the kinematic errors and in some cases also dynamic errors for different types of machine tool, as well as supplementary methods for tool and spindle error detection. A novel artefact probing process is introduced which simplifies data processing so that the process can be readily automated using only the native machine tool controller. Laboratory testing and industrial case studies are described which demonstrate the effectiveness of this approach.

    Original languageEnglish
    Pages (from-to)431-438
    Number of pages8
    JournalProcedia CIRP
    Volume25
    Early online date10 Dec 2014
    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 Industrial Doctorate Centre in Systems (Grant EP/G037353/1).

    Keywords

    • machine tool calibration
    • machine tool verification
    • on-machine probing

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