Abstract
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 language | English |
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Title of host publication | Proceedings of the 30th Nordic Seminar on Computational Mechanics (NSCM-30) |
Editors | J. Høsberg, N.L. Pedersen |
Number of pages | 1 |
Publication date | 2017 |
Pages | 59 |
Publication status | Published - 2017 |
Event | 30th Nordic Seminar on Computational Mechanics - Copenhagen Duration: 25 Oct 2017 → 27 Oct 2017 |
Conference
Conference | 30th Nordic Seminar on Computational Mechanics |
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City | Copenhagen |
Period | 25/10/2017 → 27/10/2017 |
Keywords
- X-ray tomography
- Individual Fibres
- Unidirectional Composites
- Modelling