Parametric Reconstruction of Advanced Glass Fiber-reinforced Polymer Composites from X-ray Images

TitleParametric Reconstruction of Advanced Glass Fiber-reinforced Polymer Composites from X-ray Images
Publication TypeConference Abstract
Year of Publication2018
AuthorsElberfeld, T., J. De Beenhouwer, A J. den Dekker, C. Heinzl, and J. Sijbers
Conference Name8th Conference on Industrial Computed Tomography
Place PublishedWels, Austria
KeywordsGFRP, Materials Science, Modeling of Microstructures, Parametric Reconstruction, Tomography, µCT
Abstract

A novel approach to the reconstruction of glass fiber-reinforced polymers (GFRP) from X‐ray micro‐computed tomography
(μCT) data is presented. The traditional fiber analysis workflow requires complete sample reconstruction, pre-processing and
segmentation, followed by the analysis of fiber distribution, orientation, and other features of interest. Each step in the chain
introduces errors that propagate through the pipeline and impair the accuracy of the estimation of those features. In the
approach presented in this paper, we combine iterative reconstruction techniques and a priori knowledge about the sample, to
reconstruct the volume and estimate the orientation of the fibers simultaneously. Fibers are modeled using rigid cylinders in
space whose orientation and position is then iteratively refined. The output of the algorithm is a non voxel-based dataset of the
fibers’ parametric representation, allowing to directly assess fiber features and distribution characteristics and to simulate the resulting material properties.

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