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Green Image
Issue No. 08 - Aug. (2017 vol. 23)
ISSN: 1077-2626
pp: 1988-2002
Arindam Bhattacharya , Ohio State University, Columbus, OH
Johannes Weissenbock , University of Applied Sciences Upper Austria, Wels, Austria
Rephael Wenger , Ohio State University, Columbus, OH
Artem Amirkhanov , University of Applied Sciences Upper Austria, Wels, Austria
Johann Kastner , University of Applied Sciences Upper Austria, Wels, Austria
Christoph Heinzl , University of Applied Sciences Upper Austria, Wels, Austria
This work introduces a tool for interactive exploration and visualization using MetaTracts. MetaTracts is a novel method for extraction and visualization of individual fiber bundles and weaving patterns from X-ray computed tomography (XCT) scans of endless carbon fiber reinforced polymers (CFRPs). It is designed specifically to handle XCT scans of low resolutions where the individual fibers are barely visible, which makes extraction of fiber bundles a challenging problem. The proposed workflow is used to analyze unit cells of CFRP materials integrating a recurring weaving pattern. First, a coarse version of integral curves is used to trace sections of the individual fiber bundles in the woven CFRP materials. We call these sections MetaTracts. In the second step, these extracted fiber bundle sections are clustered using a two-step approach: first by orientation, then by proximity. The tool can generate volumetric representations as well as surface models of the extracted fiber bundles to be exported for further analysis. In addition a custom interactive tool for exploration and visual analysis of MetaTracts is designed. We evaluate the proposed workflow on a number of real world datasets and demonstrate that MetaTracts effectively and robustly identifies and extracts fiber bundles.
Carbon, Diffusion tensor imaging, Weaving, Visualization, X-ray imaging, Fabrics, Three-dimensional displays
Arindam Bhattacharya, Johannes Weissenbock, Rephael Wenger, Artem Amirkhanov, Johann Kastner, Christoph Heinzl, "Interactive Exploration and Visualization Using MetaTracts extracted from Carbon Fiber Reinforced Composites", IEEE Transactions on Visualization & Computer Graphics, vol. 23, no. , pp. 1988-2002, Aug. 2017, doi:10.1109/TVCG.2016.2582158
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