Parametric reconstruction of glass fiber-reinforced polymer composites from X-ray projection data—A simulation study

Tim Elberfeld, Jan De Beenhouwer, Arnold J. den Dekker, Christoph Heinzl, Jan Sijbers

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
12 Downloads (Pure)

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.

Original languageEnglish
Article number62
Number of pages11
JournalJournal of Nondestructive Evaluation
Volume37
Issue number3
DOIs
Publication statusPublished - 2018

Keywords

  • GFRP
  • Glass fiber reinforced polymer
  • Materials science
  • Modeling of micro-structures
  • Parametric model
  • Tomography
  • μ CT

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