基于太赫兹图像的航天复合材料粘接缺陷检测方法研究

Zhao Pan; Yin Tang Wen; Xiao Kang Zheng; Yao Yao Cui

doi:10.3969/j.issn.1000-1158.2018.04.05

基于太赫兹图像的航天复合材料粘接缺陷检测方法研究

Translated title of the contribution: Study on Nondestructive Testing for Bonding Defects in Aerospace Composite Based on Terahertz Image

Zhao Pan
, Yin Tang Wen
, Xiao Kang Zheng
, Yao Yao Cui

Yanshan University
Tianjin Aviation Electro-Mechanical Co. Ltd.

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

Thermal insulation aerospace composite and metal substrates' bonding defects are tested by the reflection type frequency modulated continuous terahertz wave testing system which the frequency range is 0.23~0.32THz. Thermal insulation composite and metal substrates are bonded by epoxy resin adhesive as the experimental sample. Bonding defects of the adhesive interface can be detected visualized by image neighbor focal plane. Fuzzy c-means (FCM) clustering algorithm is applied to get the segment of defect binary images combined with median filtering, then have the defect area by calculating the number of pixels. Compared with the samples which have known defect area, the error is not more than ±9%.

Translated title of the contribution	Study on Nondestructive Testing for Bonding Defects in Aerospace Composite Based on Terahertz Image
Original language	Chinese (Traditional)
Pages (from-to)	471-475
Number of pages	5
Journal	Jiliang Xuebao/Acta Metrologica Sinica
Volume	39
Issue number	4
DOIs	https://doi.org/10.3969/j.issn.1000-1158.2018.04.05
State	Published - 22 Jul 2018
Externally published	Yes

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Cite this

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title = "基于太赫兹图像的航天复合材料粘接缺陷检测方法研究",

abstract = "Thermal insulation aerospace composite and metal substrates' bonding defects are tested by the reflection type frequency modulated continuous terahertz wave testing system which the frequency range is 0.23\textasciitilde{}0.32THz. Thermal insulation composite and metal substrates are bonded by epoxy resin adhesive as the experimental sample. Bonding defects of the adhesive interface can be detected visualized by image neighbor focal plane. Fuzzy c-means (FCM) clustering algorithm is applied to get the segment of defect binary images combined with median filtering, then have the defect area by calculating the number of pixels. Compared with the samples which have known defect area, the error is not more than ±9\%.",

keywords = "Bonding defect, Composite, FCM algorithm, Metrology, Nondestructive testing, Terahertz imaging",

author = "Zhao Pan and Wen, \{Yin Tang\} and Zheng, \{Xiao Kang\} and Cui, \{Yao Yao\}",

year = "2018",

month = jul,

day = "22",

doi = "10.3969/j.issn.1000-1158.2018.04.05",

language = "繁体中文",

volume = "39",

pages = "471--475",

journal = "Jiliang Xuebao/Acta Metrologica Sinica",

issn = "1000-1158",

publisher = "Chinese Society for Measurement",

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T1 - 基于太赫兹图像的航天复合材料粘接缺陷检测方法研究

AU - Pan, Zhao

AU - Wen, Yin Tang

AU - Zheng, Xiao Kang

AU - Cui, Yao Yao

PY - 2018/7/22

Y1 - 2018/7/22

N2 - Thermal insulation aerospace composite and metal substrates' bonding defects are tested by the reflection type frequency modulated continuous terahertz wave testing system which the frequency range is 0.23~0.32THz. Thermal insulation composite and metal substrates are bonded by epoxy resin adhesive as the experimental sample. Bonding defects of the adhesive interface can be detected visualized by image neighbor focal plane. Fuzzy c-means (FCM) clustering algorithm is applied to get the segment of defect binary images combined with median filtering, then have the defect area by calculating the number of pixels. Compared with the samples which have known defect area, the error is not more than ±9%.

AB - Thermal insulation aerospace composite and metal substrates' bonding defects are tested by the reflection type frequency modulated continuous terahertz wave testing system which the frequency range is 0.23~0.32THz. Thermal insulation composite and metal substrates are bonded by epoxy resin adhesive as the experimental sample. Bonding defects of the adhesive interface can be detected visualized by image neighbor focal plane. Fuzzy c-means (FCM) clustering algorithm is applied to get the segment of defect binary images combined with median filtering, then have the defect area by calculating the number of pixels. Compared with the samples which have known defect area, the error is not more than ±9%.

KW - Bonding defect

KW - Composite

KW - FCM algorithm

KW - Metrology

KW - Nondestructive testing

KW - Terahertz imaging

UR - https://www.scopus.com/pages/publications/85058628015

U2 - 10.3969/j.issn.1000-1158.2018.04.05

DO - 10.3969/j.issn.1000-1158.2018.04.05

M3 - 文章

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JO - Jiliang Xuebao/Acta Metrologica Sinica

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ER -

基于太赫兹图像的航天复合材料粘接缺陷检测方法研究

Abstract

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