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A Monte-Carlo Algorithm for 3D Fibre Detection from Microcomputer Tomography

  • Gloeckner R
  • Kolling S
  • Heiliger C
Journal of Computational Engineering (2016) 2016 1-9
DOI: 10.1155/2016/2753187
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Abstract

A model-based approach to analyze fibre distributions in polymer composites applicable for high fibre content is suggested. The algorithm is a four-step iterative method using Monte-Carlo techniques in order to increase speed and robustness for fibre detection. Samples with up to 20% volume fraction of glass fibres and different matrix polymers (PP, PBT) have been analyzed regarding distributions of orientation and length and thickness of the fibres.

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Gloeckner, R., Kolling, S., & Heiliger, C. (2016). A Monte-Carlo Algorithm for 3D Fibre Detection from Microcomputer Tomography. Journal of Computational Engineering, 2016, 1–9. https://doi.org/10.1155/2016/2753187

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