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Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions
Auenhammer, Robert M. Jeppesen, Niels Mikkelsen, Lars P. Dahl, Vedrana A. Blinzler, Brina J. Asp, Leif E.
Auenhammer, Robert M.
Jeppesen, Niels
Mikkelsen, Lars P.
Dahl, Vedrana A.
Blinzler, Brina J.
Asp, Leif E.
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Abstract
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 point-wise 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.
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Date
2022-06-16
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Elsevier
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Keywords
Computational mechanics, Composite materials, X-ray computed tomography, Structure tensor, Finite element modelling
Citation
Auenhammer, R.M.; Jeppesen, N.; Mikkelsen, L.P.; Dahl, V.A.; Blinzler, B.J.; Asp, L.E.: Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions, Composites Science and Technology, V. 224, No. 109458, 2022. ISSN 0266-3538. https://doi.org/10.1016/j.compscitech.2022.109458.