Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions

Robert M. Auenhammer, Niels Jeppesen, Lars P. Mikkelsen, Vedrana A. Dahl, Brina J. Blinzler, Leif E. Asp*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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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 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.
Original languageEnglish
Article number109458
JournalComposites Science and Technology
Volume224
Number of pages12
ISSN0266-3538
DOIs
Publication statusPublished - 2022

Keywords

  • Computational mechanics
  • Composite materials
  • X-ray computed tomography
  • Structure tensor
  • Finite element modelling

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