Non-crimp fabrics geometrical variability and its influence on composites cure

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dc.contributor.authorMesogitis, Tassos
dc.contributor.authorSkordos, Alexandros A.
dc.contributor.authorLong, A. C.
dc.date.accessioned2019-01-07T15:30:08Z
dc.date.available2019-01-07T15:30:08Z
dc.date.issued2014-12-31
dc.description.abstractA framework is developed and implemented to characterize and model in plane fibre misalignment in Non-Crimp fabrics (NCF). Image analysis based on fast Fourier Transform and correlation analysis is used to characterise in plane fibre misalignment in a carbon fibre ±45º NCF. It is found that fibre misalignment is significant showing high anisotropic spatial autocorrelation with the major direction of autocorrelation coinciding with the direction of the non-structural stitching of the fabric. The spatial autocorrelation structure of the fabric is modelled using an autoregressive two-dimensional stochastic process, the Ornstein- Uhlenbeck (OU) sheet. The resulting stochastic field is simulated using the Cholesky factorization, the spectral decomposition and the Karhunen-Loeve expansion (KLE). The three discretization techniques are compared in terms of accuracy and efficiency.en_UK
dc.identifier.citationMesogitis T, Skordos AA, Long AC. Non-crimp fabrics geometrical variability and its influence on composites cure. 16th European Conference on Composite Materials (ECCM16), 2014, 22-26 June 2014, Seville, Spain.en_UK
dc.identifier.isbn978-000000000-2
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13792
dc.language.isoenen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectvariabilityen_UK
dc.subjectnon-crimp fabricsen_UK
dc.subjectmodelling of random fielden_UK
dc.titleNon-crimp fabrics geometrical variability and its influence on composites cureen_UK
dc.typeConference paperen_UK

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