Mesogitis, TassosSkordos, Alexandros A.Long, A. C.2019-01-072019-01-072014-12-31Mesogitis 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.978-000000000-2https://dspace.lib.cranfield.ac.uk/handle/1826/13792A 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.enAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/variabilitynon-crimp fabricsmodelling of random fieldNon-crimp fabrics geometrical variability and its influence on composites cureConference paper