A digital twin design for maintenance optimization

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dc.contributor.authorDavies, Oliver
dc.contributor.authorMakkattil, Abhishek
dc.contributor.authorJiang, Ce
dc.contributor.authorFarsi, Maryam
dc.date.accessioned2022-07-28T12:24:57Z
dc.date.available2022-07-28T12:24:57Z
dc.date.issued2022-06-21
dc.description.abstractDigital Twin (DT) is being regarded as a suite of innovative technologies within the Industry 4.0 revolution. DT brings so much excitement to the industries pursuing digitalization. DT, as a real-time representation of a physical object supports manufacturers to enhance the yield from their operations. In particular, it offers a unique and advantageous outlook on the predictive maintenance of complex engineering assets. Along with DT, advanced systems simulation techniques enable industries to efficiently model and analyze real-world problems. In this study, a simulation-based DT design for the operation of a complex engineering asset is developed, in which the virtual model of the critical components is integrated with their degradation model. The DT design aims to understand the components’ degradation status and suggest a suitable maintenance intervention. The mathematical algorithm for the components’ remaining useful life and the related maintenance strategies is integrated with the DT model to determine the optimum service. The user interface is developed within the MATLAB app designer platform. A three-axis milling machine is selected to test the validity of the DT design.en_UK
dc.identifier.citationDavies O, Makkattil A, Jiang C, Farsi M. (2022) A digital twin design for maintenance optimization. Procedia CIRP, Volume 109, pp. 395-400. 31st CIRP Design Conference 2021 (CIRP Design 2021), 19-21 May 2021, Virtual Eventen_UK
dc.identifier.issn2212-8271
dc.identifier.urihttps://doi.org/10.1016/j.procir.2022.05.268
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18246
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectDigital Twinen_UK
dc.subjectPredictive maintenanceen_UK
dc.subjectOptimizationen_UK
dc.subjectIndustry 4.0en_UK
dc.subjectDegredation modelen_UK
dc.titleA digital twin design for maintenance optimizationen_UK
dc.typeConference paperen_UK

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