Real time inverse solution of the composites' cure heat transfer problem under uncertainty

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dc.contributor.authorTifkitsis, Konstantinos
dc.contributor.authorSkordos, Alexandros A.
dc.date.accessioned2019-12-11T15:32:38Z
dc.date.available2019-12-11T15:32:38Z
dc.date.issued2019-12-09
dc.description.abstractThis paper addresses the development of an inversion scheme based on Markov Chain Monte Carlo integrating process modelling with monitoring data for the real-time probabilistic estimation of unknown stochastic input parameters such as heat transfer coefficient and resin thermal conductivity and process outcomes during the manufacture of fibrous composites materials. Kriging was utilized to build an efficient surrogate model of the composite curing process based on finite element modelling. The utilization of an inverse scheme with real-time temperature monitoring driving the estimation of process parameters during manufacture results in real-time probabilistic prediction of process outcomes.en_UK
dc.identifier.citationTifkitsis K, Skordos AA. (2020) Real time inverse solution of the composites' cure heat transfer problem under uncertainty. Inverse Problems in Science and Engineering, Volume 28, Issue 7, 2020, pp. 1011-1030en_UK
dc.identifier.issn1741-5977
dc.identifier.urihttps://doi.org/10.1080/17415977.2019.1700242
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/14826
dc.language.isoenen_UK
dc.publisherTaylor & Francisen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectComposites manufacturingen_UK
dc.subjectCuringen_UK
dc.subjectUncertainty estimationen_UK
dc.subjectInverse analysisen_UK
dc.subjectMarkov Chain Monte Carloen_UK
dc.titleReal time inverse solution of the composites' cure heat transfer problem under uncertaintyen_UK
dc.typeArticleen_UK

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