Robust numerical analysis of fibrous composites from X-ray computed tomography image data enabling low resolutions
Journal article, 2022

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.

Finite element modelling

Structure tensor

X-ray computed tomography

Computational mechanics

Composite materials

Author

Robert Auenhammer

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Niels Jeppesen

Technical University of Denmark (DTU)

Lars Mikkelsen

Technical University of Denmark (DTU)

Vedrana Andersen Dahl

Technical University of Denmark (DTU)

Brina Blinzler

University of Kansas

Leif Asp

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Composites Science and Technology

0266-3538 (ISSN)

Vol. 224 16 June 2022 109458

MUltiscale, Multimodal and Multidimensional imaging for EngineeRING (MUMMERING).

European Commission (EC) (EC/H2020/765604), 2019-01-01 -- 2021-12-31.

Areas of Advance

Materials Science

Subject Categories

Computer Science

Composite Science and Engineering

DOI

10.1016/j.compscitech.2022.109458

More information

Latest update

5/5/2022 2