Identification of key temperature measurement technologies for the enhancement of product and equipment integrity in the light controlled factory

David Ross-Pinnock*, Paul G. Maropoulos

*Corresponding author for this work

    Research output: Contribution to journalArticle

    Abstract

    Thermal effects in uncontrolled factory environments are often the largest source of uncertainty in large volume dimensional metrology. As the standard temperature for metrology of 20°C cannot be achieved practically or economically in many manufacturing facilities, the characterisation and modelling of temperature offers a solution for improving the uncertainty of dimensional measurement and quantifying thermal variability in large assemblies. Technologies that currently exist for temperature measurement in the range of 0-50°C have been presented alongside discussion of these temperature measurement technologies' usefulness for monitoring temperatures in a manufacturing context. Particular aspects of production where the technology could play a role are highlighted as well as practical considerations for deployment. Contact sensors such as platinum resistance thermometers can produce accuracy closest to the desired accuracy given the most challenging measurement conditions calculated to be ∼0.02°C. Non-contact solutions would be most practical in the light controlled factory (LCF) and semi-invasive appear least useful but all technologies can play some role during the initial development of thermal variability models.

    Original languageEnglish
    Pages (from-to)114-121
    Number of pages8
    JournalProcedia CIRP
    Volume25
    Early online date10 Oct 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 (grant EP/K018124/1).

    Keywords

    • light controlled factory
    • temperature measurement
    • thermal modelling
    • LCF

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