open access publication

Article, 2022

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

Composites Science and Technology, ISSN 1879-1050, 0266-3538, Volume 224, Page 109458, 10.1016/j.compscitech.2022.109458

Contributors

Auenhammer, Robert M 0000-0001-6859-4974 [1] [2] Jeppesen, Niels 0000-0001-7844-9180 [1] Mikkelsen, Lars Pilgaard 0000-0002-6323-4395 [1] Dahl, Vedrana Andersen 0000-0001-6734-5570 [1] Blinzler, Brina Jane 0000-0002-1139-5357 [3] E, Leif (Corresponding author) [2]

Affiliations

  1. [1] Technical University of Denmark
    2. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  2. [2] Chalmers University of Technology
    3. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  3. [3] University of Kansas
    4. [NORA names: United States; America, North; OECD]

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.

Keywords

Aided Engineering, X-ray, X-ray computed tomography scans, analysis, automated process, cases, code, combination, composition, data, diameter, elastic modulus, element model, engineering, fabric composites, fibre diameter, fibre reinforced composites, fibres, fibrous composites, finite element model, glass fibre reinforced composites, high-resolution scans, image data, implementation, information, low resolution, low-resolution cases, manufacturing, materials, model, model set-up, modulus, non-crimp fabric composites, orientation analysis, original image data, process, reinforced composites, resolution, resolution case, resolution scans, results, robust numerical analysis, robustness, scanning, services, set-up, simulated elastic modulus, simulation, simulation results, size, state, structure, tensor codes, tomography scan, voxel, voxel size, x-ray computed tomography image data

Funders

  • Danish Energy Agency
  • European Commission
  • The Velux Foundations

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