A Monte-Carlo Algorithm for 3D Fibre Detection from Microcomputer TomographyReport as inadecuate




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Journal of Computational Engineering - Volume 2016 2016, Article ID 2753187, 9 pages -

Research Article

Justus Liebig University, Institute for Theoretical Physics, Heinrich-Buff-Ring 16, 35392 Giessen, Germany

Technische Hochschule Mittelhessen, Institute of Mechanics and Materials, Wiesenstr. 14, 35390 Giessen, Germany

Received 14 March 2016; Revised 15 July 2016; Accepted 11 August 2016

Academic Editor: Amine Ammar

Copyright © 2016 Robert Gloeckner et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.





Author: Robert Gloeckner, Stefan Kolling, and Christian Heiliger

Source: https://www.hindawi.com/



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