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


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.

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Divisions: Aston University (General)
Additional Information: 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 ( Funding: EPSRC (grant EP/K018124/1).
Uncontrolled Keywords: light controlled factory,temperature measurement,thermal modelling,LCF,Control and Systems Engineering,Industrial and Manufacturing Engineering
Publication ISSN: 2212-8271
Last Modified: 27 Jun 2024 08:39
Date Deposited: 08 Sep 2015 09:30
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2014
Published Online Date: 2014-10-10
Authors: Ross-Pinnock, David
Maropoulos, Paul G. (ORCID Profile 0000-0001-6525-6216)

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