Journal article
Statistical validation of individual fibre segmentation from tomograms and microscopy
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
Department of Wind Energy, Technical University of Denmark4
Composites Mechanics and Materials Mechanics, Department of Wind Energy, Technical University of Denmark5
Villum Center for Advanced Structural and Material Testing, Centers, Technical University of Denmark6
Imaging with X-ray computed tomography (CT) enables non-destructive 3D characterisations of the micro-structure inside fibre composites. In this paper we validate the use of X-ray CT coupled with image analysis for characterising unidirectional (UD) fibre composites. We compare X-ray CT at different resolutions to optical microscopy (OM) and scanning electron microscopy (SEM), where we characterise fibres by their diameters and positions.
In addition to comparing individual fibre diameters, we also model their spatial distribution, and compare the obtained model parameters. Our study shows that X-ray CT is a high precision technique for characterising fibre composites and, with our suggested image analysis method for fibre detection, high precision is also obtained at low resolutions.
This has great potential, since it allows larger fields of view to be analysed. Besides analysing representative volumes with high precision, we demonstrate that based on our methodology for individual fibre segmentation it is now possible to study complete bundles at the fibre scale and reveal inhomogeneities in the physical sample.
Language: | English |
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Year: | 2018 |
Pages: | 208-215 |
ISSN: | 18791050 and 02663538 |
Types: | Journal article |
DOI: | 10.1016/j.compscitech.2018.03.027 |
ORCIDs: | Emerson, Monica Jane , Dahl, Vedrana Andersen , Mikkelsen, Lars Pilgaard , Conradsen, Knut and Dahl, Anders Bjorholm |