Publication
Title
Parametric reconstruction of glass fiber-reinforced polymer composites from X-ray projection data : a simulation study
Author
Abstract
We present a new approach to estimate geometry parameters of glass fibers in glass fiber-reinforced polymers from simulated X-ray micro-computed tomography scans. Traditionally, these parameters are estimated using a multi-step procedure including image reconstruction, pre-processing, segmentation and analysis of features of interest. Each step in this chain introduces errors that propagate through the pipeline and impair the accuracy of the estimated parameters. In the approach presented in this paper, we reconstruct volumes from a low number of projection angles using an iterative reconstruction technique and then estimate position, direction and length of the contained fibers incorporating a priori knowledge about their shape, modeled as a geometric representation, which is then optimized. Using simulation experiments, we show that our method can estimate those representations even in presence of noisy data and only very few projection angles available.
Language
English
Source (journal)
Journal of nondestructive evaluation. - New York, N.Y.
Publication
New York, N.Y. : 2018
ISSN
0195-9298
Volume/pages
37 :3 (2018) , 11 p.
Article Reference
62
ISI
000440344900001
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Quantitative X-ray tomography of advanced polymer composites.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 07.09.2018
Last edited 19.10.2021
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