Geometrical Characterisation of Individual Fibres From X-Ray Tomograms

Research output: Research - peer-reviewConference abstract in proceedings – Annual report year: 2017

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We have developed an image analysis pipeline1 that can extract individual fibre tracksfrom low contrast X-ray tomograms of unidirectional composites with high fibre volumefraction. Measuring individual fibre tracks opens up the possibility of modelling thisempirical data in a statistical manner. Thus, allowing to analyse the spatial distributionsof the parameters characterising the orientation and curvature of these individual fibres,which can also provide insights on the interactions amongst the individual fibres.Finite element models (FEMs) can be built from the extracted geometry to simulatethe performance of the scanned fibre structure under realistic conditions. Moreover, as-pects of the fibre architecture that inuence the macroscopic behaviour of the compositecan be quantified. Examples are 2D FEMs to predict the transverse stifiness or the quantification of fibre orientations to estimate the compression strength.1 And last butnot least, already developed analytical and numerical models to describe the composite'sbehaviour can be validated against the observed data.
Original languageEnglish
Title of host publicationProceedings of the 30th Nordic Seminar on Computational Mechanics (NSCM-30)
EditorsJ. Høsberg, N.L. Pedersen
Number of pages1
Publication date2017
Pages59
StatePublished - 2017
Event30th Nordic Seminar on Computational Mechanics (NSCM-30) - Copenhagen
Duration: 25 Oct 201727 Oct 2017

Conference

Conference30th Nordic Seminar on Computational Mechanics (NSCM-30)
CityCopenhagen
Period25/10/201727/10/2017

    Research areas

  • X-ray tomography, Individual Fibres, Unidirectional Composites, Modelling
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