Characterisation of small embedded two-dimensional defects using multi-view Total Focusing Method imaging algorithm

Nicolas S Budyn, Anthony J Croxford, Rhodri L T Bevan, Jie Zhang, Paul D Wilcox*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)
44 Downloads (Pure)

Abstract

Defect characterisation is an essential step of nondestructive testing which aims to determine the shape and the size of a defect once detected. The imaging algorithm multi-view Total Focusing Method (TFM) has been successfully used to accurately size defects of size greater than several times the wavelength. However, characterising smaller defects remains difficult due to the diffraction limit. This paper introduces a probabilistic characterisation technique where the unknown defect is compared against a database of reference scatterers obtained
with an ultrasonic model. The measured TFM amplitudes act as a defect signature. A Bayesian framework is used to retrieve the reference defects which most credibly explain the measurements, and to calculate uncertainties.
Original languageEnglish
Article number102413
Number of pages11
JournalNDT and E International
Volume119
Early online date2 Feb 2021
DOIs
Publication statusPublished - 1 Apr 2021

Bibliographical note

Funding Information:
ACKNOWLEDGEMENTS The authors acknowledge financial support from the Department of Health via the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre at Guy's & St Thomas' NHS Foundation Trust in partnership with King's College London and King's College Hospital NHS Foundation Trust. The authors also acknowledge the support of the MRC Centre for Transplantation. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.

Funding Information:
The authors acknowledge financial support from the Department of Health via the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre at Guy?s & St Thomas? NHS Foundation Trust in partnership with King?s College London and King?s College Hospital NHS Foundation Trust. The authors also acknowledge the support of the MRC Centre for Transplantation. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.

Funding Information:
CONFLICTS OF INTEREST Veeru Kasivisvanathan is funded by a Doctoral Research Fellowship from the National Institute for Health Research. The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health.

Publisher Copyright:
© 2021 Elsevier Ltd

Keywords

  • Defect characterisation
  • Ultrasonic array
  • Ultrasonic imaging

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