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Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions
dc.contributor.author | Auenhammer, Robert M. | |
dc.contributor.author | Jeppesen, Niels | |
dc.contributor.author | Mikkelsen, Lars P. | |
dc.contributor.author | Dahl, Vedrana A. | |
dc.contributor.author | Blinzler, Brina J. | |
dc.contributor.author | Asp, Leif E. | |
dc.date.accessioned | 2022-04-26T15:54:14Z | |
dc.date.available | 2022-04-26T15:54:14Z | |
dc.date.issued | 2022-06-16 | |
dc.identifier.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. | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/32714 | |
dc.description.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. | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2022 The Authors. Published by Elsevier Ltd. This work is licensed under a Creative Commons Attribution 4.0 International License. | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject | Computational mechanics | en_US |
dc.subject | Composite materials | en_US |
dc.subject | X-ray computed tomography | en_US |
dc.subject | Structure tensor | en_US |
dc.subject | Finite element modelling | en_US |
dc.title | Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Blinzler, Brina J. | |
kusw.kudepartment | Aerospace Engineering | en_US |
dc.identifier.doi | 10.1016/j.compscitech.2022.109458 | en_US |
dc.identifier.orcid | https://orcid.org/ 0000-0003-0630-2037 | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.rights.accessrights | openAccess | en_US |