Conference paper
Geometrical Characterisation of Individual Fibres From X-Ray Tomograms
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark3
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.
Language: | English |
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Year: | 2017 |
Proceedings: | 30th Nordic Seminar on Computational MechanicsNordic Seminar on Computational Mechanics |
Types: | Conference paper |
ORCIDs: | Emerson, Monica Jane , Dahl, Vedrana Andersen , Mikkelsen, Lars Pilgaard , Dahl, Anders Bjorholm and Conradsen, Knut |