Conference paper
Understanding UD Fibre-reinforced Polymers through X-ray Imaging and Individual Fibre Tracking
Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark3
University of Manchester4
Wind Energy Materials and Components Division, Department of Wind and Energy Systems, Technical University of Denmark5
Composites Analysis and Mechanics, Wind Energy Materials and Components Division, Department of Wind and Energy Systems, Technical University of Denmark6
Department of Wind and Energy Systems, Technical University of Denmark7
Department of Wind Energy, Technical University of Denmark8
X-ray computed tomography (CT) is a powerful tool for characterising materials for its ability to reveal their internal structure in a non-destructive manner. The recent advances in Xray imaging have brought high-resolution X-rays to laboratory sources, making this tool available to a broader public.
Additionally, thanks to the developments in ultra-fast X-ray imaging at synchrotron beamlines, it is now possible to capture the very fast structural changes inside materials under realistic working conditions, e.g. in operation or under loading. There is a need for advanced image analysis methods that can exploit the information contained in these 3D and 4D data-sets of high spatial and temporal resolution, which often contain image artefacts and noise.
We have developed a method to characterise the geometry of materials reinforced with long fibres [1], such as glass and carbon fibre reinforced polymers. The method is based on segmenting individual fibres and the task is specially challenging when the image is noisy and its resolution is limited, because the fibres are densely packed.
A limited spatial resolution might arise from the need of performing fast scans, to capture the sudden micro-structural changes that happen when reaching the composite’s collapse load, and will facilitate scanning large fields of view containing many fibres, necessary to ensure representative characterisations of a material’s micro-structure.
Due to the robustness of our method to image quality [2], we have been able to characterise fibre orientations and diameter distributions in complete bundles, relevant for investigating the effect of the design and manufacturing processes on the mechanical properties of the materials. Moreover, we have applied our methodology to study the behaviour of a fibre composite under compressive loading.
Following the changes in each individual fibre under progressive loading conditions, and correlating these with the initial structure of the material, can reveal the precursors to the very complex damage mechanisms that affect fibre composites.
Language: | English |
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Year: | 2018 |
Proceedings: | 69th Annual Conference of the Nordic Microscopy Society |
Types: | Conference paper |
ORCIDs: | Emerson, Monica Jane , Dahl, Anders Bjorholm , Dahl, Vedrana Andersen , Conradsen, Knut , Jespersen, Kristine Munk and Mikkelsen, Lars Pilgaard |