Skip to main navigation Skip to search Skip to main content

Optimised dynamic line scan thermographic detection of CFRP inserts using FE updating and POD analysis

  • J. Peeters*
  • , C. Ibarra-Castanedo
  • , F. Khodayar
  • , Y. Mokhtari
  • , S. Sfarra
  • , H. Zhang
  • , X. Maldague
  • , J. J.J. Dirckx
  • , G. Steenackers
  • *Corresponding author for this work
  • University of Antwerp
  • Université Laval
  • University of L'Aquila
  • Tomsk Polytechnic University
  • Vrije Universiteit Brussel

Research output: Contribution to journalArticlepeer-review

Abstract

The detection of delaminations in composite laminates using automated thermographic scanning is a quite challenging task. The set-up parameters are not only dependent on the equipment, but on the inspected component as well. In this work, a methodology is discussed to use Finite Element (FE) model updating to automatically establish the most suitable inspection parameters for a given combination of the structure and the investigated delamination depths. The optimised results are compared using binary Probability of Detection analysis and are benchmarked with parameter sets retrieved by an expert using the regular trial & error approach. The results show an improvement of the accuracy and scanning speed which significantly increases as the POD decreases and the complexity of the samples increases.

Original languageEnglish
Pages (from-to)141-149
Number of pages9
JournalNDT and E International
Volume93
DOIs
StatePublished - Jan 2018
Externally publishedYes

Keywords

  • Automated NDT
  • CFRP
  • Dynamic line scan
  • FE updating
  • Inverse problem
  • Probability of Detection
  • Quantitative non-destructive evaluation

Fingerprint

Dive into the research topics of 'Optimised dynamic line scan thermographic detection of CFRP inserts using FE updating and POD analysis'. Together they form a unique fingerprint.

Cite this