2019
DOI: 10.1109/access.2019.2937636
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Detection and Characterization Method for Interface Bonding Defects of New Composite Materials

Abstract: 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 prop… Show more

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Cited by 2 publications
(1 citation statement)
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References 28 publications
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“…Although X-ray and NI are powerful tools for NDT tests offering super high resolution, both imaging techniques are based on ionising radiation, that is, Woracek et al 245 and Kardjilov et al 247 NDT: non-destructive testing; VI: visual inspection; AE: acoustic emission; UT: ultrasonic testing; IRT: infrared thermography; THz: terahertz; ST: shearography testing; DIC: digital image correlation; XRI: X-ray imaging; NI: neutron imaging; 2D: two-dimensional; 3D: three-dimensional. Laureti et al 263 Laureti et al 263 Ryu et al 264 Pagliarulo et al 265 Szebényi and Hliva 266 Location of depth/size Ellison and Kim 267 Yi et al 268 Dong et al 86 De Angelis et al 153 Ellison and Kim 267 Interface debonding Marec et al 70 Li and Zhou 269 Yi et al 270 Dai et al 271 Wen et al 272…”
Section: Discussionmentioning
confidence: 99%
“…Although X-ray and NI are powerful tools for NDT tests offering super high resolution, both imaging techniques are based on ionising radiation, that is, Woracek et al 245 and Kardjilov et al 247 NDT: non-destructive testing; VI: visual inspection; AE: acoustic emission; UT: ultrasonic testing; IRT: infrared thermography; THz: terahertz; ST: shearography testing; DIC: digital image correlation; XRI: X-ray imaging; NI: neutron imaging; 2D: two-dimensional; 3D: three-dimensional. Laureti et al 263 Laureti et al 263 Ryu et al 264 Pagliarulo et al 265 Szebényi and Hliva 266 Location of depth/size Ellison and Kim 267 Yi et al 268 Dong et al 86 De Angelis et al 153 Ellison and Kim 267 Interface debonding Marec et al 70 Li and Zhou 269 Yi et al 270 Dai et al 271 Wen et al 272…”
Section: Discussionmentioning
confidence: 99%