Detection and Characterization Method for Interface Bonding Defects of New Composite Materials

The defects such as voids and debonding within the bonding interface between the composite and the substrate are the key factors affecting the safe use of materials. In this study, Industrial Computed Tomography (ICT) was used to perform non-destructive tests of bonding defects. High-precision chara...

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Main Authors: Yintang Wen, Song Zhang, Yuyan Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8813064/
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spelling doaj-7f3bef38aaf14505b3a265c62b7661712021-04-05T17:30:36ZengIEEEIEEE Access2169-35362019-01-01713433013433710.1109/ACCESS.2019.29376368813064Detection and Characterization Method for Interface Bonding Defects of New Composite MaterialsYintang Wen0Song Zhang1https://orcid.org/0000-0003-2047-3991Yuyan Zhang2https://orcid.org/0000-0002-6062-6668School of Electrical Engineering, Yanshan University, Qinhuangdao, ChinaSchool of Electrical Engineering, Yanshan University, Qinhuangdao, ChinaSchool of Electrical Engineering, Yanshan University, Qinhuangdao, ChinaThe defects such as voids and debonding within the bonding interface between the composite and the substrate are the key factors affecting the safe use of materials. In this study, Industrial Computed Tomography (ICT) was used to perform non-destructive tests of bonding defects. High-precision characterization methods are required to quantify the defects. This paper proposes an improved image segmentation processing method for accurate extraction of defect edges and quantitative characterization. With the proposed method combining mathematical morphology and Fuzzy C-Means (FCM) threshold segmentation, the irregular defects of voids and debonding can be visualized and established with corresponding quantitative indicators. The experimental results show that the defect area error of the tested bonding layer is within ±6%, which satisfies the requirements of accurate detection and characterization of interface bonding layer defects of composite components. This work provides a strong technical basis for the reliability assessment of new ceramic matrix composites (CMCs) bonded structural members.https://ieeexplore.ieee.org/document/8813064/Interface bonding defectsvoids and debondingindustrial computed tomography (ICT)segmentation methoddetection and characterization
collection DOAJ
language English
format Article
sources DOAJ
author Yintang Wen
Song Zhang
Yuyan Zhang
spellingShingle Yintang Wen
Song Zhang
Yuyan Zhang
Detection and Characterization Method for Interface Bonding Defects of New Composite Materials
IEEE Access
Interface bonding defects
voids and debonding
industrial computed tomography (ICT)
segmentation method
detection and characterization
author_facet Yintang Wen
Song Zhang
Yuyan Zhang
author_sort Yintang Wen
title Detection and Characterization Method for Interface Bonding Defects of New Composite Materials
title_short Detection and Characterization Method for Interface Bonding Defects of New Composite Materials
title_full Detection and Characterization Method for Interface Bonding Defects of New Composite Materials
title_fullStr Detection and Characterization Method for Interface Bonding Defects of New Composite Materials
title_full_unstemmed Detection and Characterization Method for Interface Bonding Defects of New Composite Materials
title_sort detection and characterization method for interface bonding defects of new composite materials
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description The defects such as voids and debonding within the bonding interface between the composite and the substrate are the key factors affecting the safe use of materials. In this study, Industrial Computed Tomography (ICT) was used to perform non-destructive tests of bonding defects. High-precision characterization methods are required to quantify the defects. This paper proposes an improved image segmentation processing method for accurate extraction of defect edges and quantitative characterization. With the proposed method combining mathematical morphology and Fuzzy C-Means (FCM) threshold segmentation, the irregular defects of voids and debonding can be visualized and established with corresponding quantitative indicators. The experimental results show that the defect area error of the tested bonding layer is within ±6%, which satisfies the requirements of accurate detection and characterization of interface bonding layer defects of composite components. This work provides a strong technical basis for the reliability assessment of new ceramic matrix composites (CMCs) bonded structural members.
topic Interface bonding defects
voids and debonding
industrial computed tomography (ICT)
segmentation method
detection and characterization
url https://ieeexplore.ieee.org/document/8813064/
work_keys_str_mv AT yintangwen detectionandcharacterizationmethodforinterfacebondingdefectsofnewcompositematerials
AT songzhang detectionandcharacterizationmethodforinterfacebondingdefectsofnewcompositematerials
AT yuyanzhang detectionandcharacterizationmethodforinterfacebondingdefectsofnewcompositematerials
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