A coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspection

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dc.contributor.authorZhao, Yifan
dc.contributor.authorTinsley, Lawrence
dc.contributor.authorAddepalli, Sri
dc.contributor.authorMehnen, Jorn
dc.contributor.authorRoy, Rajkumar
dc.date.accessioned2016-07-06T10:37:35Z
dc.date.available2016-07-06T10:37:35Z
dc.date.issued2016-06-11
dc.description.abstractThis paper introduces a coefficient clustering analysis method to detect and quantitatively measure damage occurring in composite materials using pulsed thermographic inspection. This method is based on fitting a low order polynomial model for temperature decay curves, which (a) provides an enhanced visual confirmation and size measurement of the damage, (b) provides the reference point for sound material for further damage depth measurement, (c) and reduces the burden in computational time. The performance of the proposed method is evaluated through a practical case study with carbon fibre reinforced polymer (CFRP) laminates which were subjected to a drop impact test with varying energy levels. A novel method for reducing an entire thermogram sequence into a single image is introduced, which provides an enhanced visualisation of the damage area.en_UK
dc.identifier.citationYifan Zhao, Lawrence Tinsley, Sri Addepalli, Jörn Mehnen, Rajkumar Roy, A coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspection, NDT&E International, Volume 83, October 2016, pp59-67en_UK
dc.identifier.cris14677921
dc.identifier.issnElsevier
dc.identifier.urihttp://dx.doi.org/10.1016/j.ndteint.2016.06.003
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10096
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.subjectNDTen_UK
dc.subjectThermographyen_UK
dc.subjectImpact damage assessmenten_UK
dc.subjectDelaminationen_UK
dc.titleA coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspectionen_UK
dc.typeArticleen_UK

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