Journal article
Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions
Chalmers University of Technology1
Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Wind Energy Materials and Components Division, Department of Wind and Energy Systems, Technical University of Denmark3
Composites Manufacturing and Testing, Wind Energy Materials and Components Division, Department of Wind and Energy Systems, Technical University of Denmark4
Department of Wind and Energy Systems, Technical University of Denmark5
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark6
Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark7
University of Kansas8
X-ray computed tomography scans can provide detailed information about the state of the material after manufacture and in service. X-ray computed tomography aided engineering (XAE) was recently introduced as an automated process to transfer 3D image data to finite element models. The implementation of a structure tensor code for material orientation analysis in combination with a newly developed integration pointwise fibre orientation mapping allows an easy applicable, computationally cheap, fast, and accurate model set-up.
The robustness of the proposed approach is demonstrated on a non-crimp fabric glass fibre reinforced composite for a low resolution case with a voxel size of 64 µm corresponding to more than three times the fibre diameter. Even though 99.8 % of the original image data is removed, the simulated elastic modulus of the considered non-crimp fabric composite is only underestimated by 4.7 % compared to the simulation result based on the original high resolution scan.
Language: | English |
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Year: | 2022 |
Pages: | 109458 |
ISSN: | 02663538 and 18791050 |
Types: | Journal article |
DOI: | 10.1016/j.compscitech.2022.109458 |
ORCIDs: | Mikkelsen, Lars P. , Dahl, Vedrana A. and 0000-0003-0630-2037 |