Robust quantitative depth estimation on CFRP samples using active thermography inspection and numerical simulation updating

J. Peeters, C. Ibarra-Castanedo, S. Sfarra, X. Maldague, J. J.J. Dirckx, G. Steenackers

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

A quantitative evaluation of delaminations in composite laminates encounters multiple difficulties due to the anisotropic behaviour of the laminate. Extensive calibrations for each structure are required and each depth needs certain manual modifications for optimal performance of the estimation routines. In this manuscript, a robust technique is developed using a numerical model to estimate the thermal diffusivity through the anisotropic material which improves defect depth estimation between each layer. Three different calibration depths are necessary to compute the diffusivity through a certain stacking sequence of a multi-layered composite laminate. The results are compared with the state-of-the-arts experimental evaluation techniques and with a regular numerical model. It is seen that especially for deeper defects, the optimised numerical model delivers more accurate results due to the considered anisotropic diffusivity.

Original languageEnglish
Pages (from-to)119-123
Number of pages5
JournalNDT and E International
Volume87
DOIs
Publication statusPublished - 1 Apr 2017

Keywords

  • Depth estimation
  • FE updating
  • Inverse problem
  • Pulsed thermography
  • Quantitative non-destructive evaluation

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics
  • Mechanical Engineering

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