Table of Contents
Journal of Computational Engineering
Volume 2016 (2016), Article ID 2753187, 9 pages
http://dx.doi.org/10.1155/2016/2753187
Research Article

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

1Justus Liebig University, Institute for Theoretical Physics, Heinrich-Buff-Ring 16, 35392 Giessen, Germany
2Technische 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.