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Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion †

This work aims to compare quantitatively different nondestructive testing (NDT) techniques and data fusion features for the evaluation of adhesive bonding quality. Adhesively bonded composite-epoxy single-lap joints have been investigated with advanced ultrasonic nondestructive testing and induction...

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Autores principales: Yilmaz, Bengisu, Ba, Abdoulaye, Jasiuniene, Elena, Bui, Huu-Kien, Berthiau, Gérard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571004/
https://www.ncbi.nlm.nih.gov/pubmed/32911870
http://dx.doi.org/10.3390/s20185127
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author Yilmaz, Bengisu
Ba, Abdoulaye
Jasiuniene, Elena
Bui, Huu-Kien
Berthiau, Gérard
author_facet Yilmaz, Bengisu
Ba, Abdoulaye
Jasiuniene, Elena
Bui, Huu-Kien
Berthiau, Gérard
author_sort Yilmaz, Bengisu
collection PubMed
description This work aims to compare quantitatively different nondestructive testing (NDT) techniques and data fusion features for the evaluation of adhesive bonding quality. Adhesively bonded composite-epoxy single-lap joints have been investigated with advanced ultrasonic nondestructive testing and induction thermography. Bonded structures with artificial debonding defects in three different case studies have been investigated: debonding with release film inclusion, debonding with brass film-large, debonding with brass film-small. After completing preprocessing of the data for data fusion, the feature matrices, depending on the interface reflection peak-to-peak amplitude and the principal component analysis, have been extracted from ultrasonic and thermography inspection results, respectively. The obtained feature matrices have been used as the source in basic (average, difference, weighted average, Hadamard product) and statistical (Dempster–Shafer rule of combination) data fusion algorithms. The defect detection performances of advanced nondestructive testing techniques, in addition to data fusion algorithms have been evaluated quantitatively by receiver operating characteristics. In conclusion, it is shown that data fusion can increase the detectability of artificial debonding in single-lap joints.
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spelling pubmed-75710042020-10-28 Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion † Yilmaz, Bengisu Ba, Abdoulaye Jasiuniene, Elena Bui, Huu-Kien Berthiau, Gérard Sensors (Basel) Article This work aims to compare quantitatively different nondestructive testing (NDT) techniques and data fusion features for the evaluation of adhesive bonding quality. Adhesively bonded composite-epoxy single-lap joints have been investigated with advanced ultrasonic nondestructive testing and induction thermography. Bonded structures with artificial debonding defects in three different case studies have been investigated: debonding with release film inclusion, debonding with brass film-large, debonding with brass film-small. After completing preprocessing of the data for data fusion, the feature matrices, depending on the interface reflection peak-to-peak amplitude and the principal component analysis, have been extracted from ultrasonic and thermography inspection results, respectively. The obtained feature matrices have been used as the source in basic (average, difference, weighted average, Hadamard product) and statistical (Dempster–Shafer rule of combination) data fusion algorithms. The defect detection performances of advanced nondestructive testing techniques, in addition to data fusion algorithms have been evaluated quantitatively by receiver operating characteristics. In conclusion, it is shown that data fusion can increase the detectability of artificial debonding in single-lap joints. MDPI 2020-09-08 /pmc/articles/PMC7571004/ /pubmed/32911870 http://dx.doi.org/10.3390/s20185127 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yilmaz, Bengisu
Ba, Abdoulaye
Jasiuniene, Elena
Bui, Huu-Kien
Berthiau, Gérard
Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion †
title Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion †
title_full Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion †
title_fullStr Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion †
title_full_unstemmed Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion †
title_short Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion †
title_sort evaluation of bonding quality with advanced nondestructive testing (ndt) and data fusion †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571004/
https://www.ncbi.nlm.nih.gov/pubmed/32911870
http://dx.doi.org/10.3390/s20185127
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