Nondestructive examination of polymethacrylimide composite structures with terahertz time-domain spectroscopy

被引:30
作者
Xing, Liyun [1 ,2 ]
Cui, Hong-Liang [1 ,3 ]
Shi, Changcheng [1 ,3 ]
Zhang, Ziyin [1 ]
Zhang, Jin [1 ]
Chang, Tianying [1 ,3 ]
Wei, Dongshan [3 ]
Du, Chunlei [3 ]
Zhang, Songnian [4 ]
Zhou, Zhenxiong [2 ]
机构
[1] Jilin Univ, Coll Instrumentat Sci & Elect Engn, Changchun 130061, Jilin, Peoples R China
[2] Beihua Univ, Jilin 130022, Jilin, Peoples R China
[3] Chinese Acad Sci, Chongqing Chongqing Inst Green & Intelligent Tech, Res Ctr THz Technol, Key Lab Multiscale Mfg Technol, Chongqing 400714, Peoples R China
[4] Jilin Chem Grp Co, Logist Ctr, Jilin 130022, Jilin, Peoples R China
基金
中国科学院西部之光基金; 中国国家自然科学基金;
关键词
PMI composite structure; Adhesive debonding; Inclusion; Nondestructive evaluation; Terahertz time-domain spectroscopy reflective imaging; THERMAL BARRIER COATINGS; TOMOGRAPHY; INSPECTION;
D O I
10.1016/j.polymertesting.2016.11.022
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
THz reflective time domain spectroscopy (THz-RIDS) has been considered as an effective method to detect hidden objects with potential for supplementing other NDE technologies for foam composite adhesive structure debonding defects. PMI (Polymethacrylimide) is a heat-resistant foam material, with the highest strength and stiffness to weight ratio. It is widely used in various parts of airplanes, especially the wing leading edge and rudder, landing gear doors, wing-body/wingtip fairings and so on. We analyzed the features of adhesive debonding defect based mainly on the variation of the time-domain wave form and compared with the inclusion defect. The quantification of degrees of adhesive debonding can be readily achieved with THz-RTDS images based on the delay of the wave front and the main reflection time-domain waveforms. Typical accuracy of about 100 pm was achieved. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:141 / 148
页数:8
相关论文
共 50 条
[21]   NDE of Discontinuities in Thermal Barrier Coatings with Terahertz Time-Domain Spectroscopy and Machine Learning Classifiers [J].
Cao, Binghua ;
Cai, Enze ;
Fan, Mengbao .
MATERIALS EVALUATION, 2021, 79 (02) :125-135
[22]   Evaluation of Rubber Products by Terahertz Time-domain Spectroscopy Carbon Black Dispersion and Vulcanization State [J].
Hirakawa, Yasuyuki ;
Yasunnoto, Yuki ;
Gondo, Toyohiko .
JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES, 2020, 41 (04) :414-429
[23]   Internal defect characterization of bridge cables based on Terahertz time-domain spectroscopy and deep learning [J].
Liu, Zhenwen ;
Kong, Xuan ;
Cai, C. S. ;
Peng, Hui ;
Zhang, Jinquan .
ENGINEERING STRUCTURES, 2024, 314
[24]   Terahertz time-domain spectroscopy of weld line defects formed during an injection moulding process [J].
Oh, Gyung-Hwan ;
Jeong, Ji-Hye ;
Park, Sung-Hyeon ;
Kim, Hak-Sung .
COMPOSITES SCIENCE AND TECHNOLOGY, 2018, 157 :67-77
[25]   Critical spectroscopic considerations towards reliable detection of material using terahertz time-domain spectroscopy [J].
Garg, Diksha ;
Bandyopadhyay, Aparajita ;
Sengupta, Amartya .
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2022, 268
[26]   Data-Driven Method for Porosity Measurement of Thermal Barrier Coatings Using Terahertz Time-Domain Spectroscopy [J].
Ye, Dongdong ;
Li, Rui ;
Xu, Jianfei ;
Pan, Jiabao .
COATINGS, 2023, 13 (06)
[27]   Non-destructive evaluation of the hidden voids in integrated circuit packages using terahertz time-domain spectroscopy [J].
Park, Sung-Hyeon ;
Jang, Jin-Wook ;
Kim, Hak-Sung .
JOURNAL OF MICROMECHANICS AND MICROENGINEERING, 2015, 25 (09)
[28]   Increasing the resolution of the reconstructed image in terahertz pulse time-domain holography [J].
Balbekin, Nikolay S. ;
Kulya, Maksim S. ;
Belashov, Andrey V. ;
Gorodetsky, Andrei ;
Petrov, Nikolay V. .
SCIENTIFIC REPORTS, 2019, 9 (1)
[29]   "On-the-Fly" Monitoring With a Single-Shot Terahertz Time-Domain Spectrometer [J].
Jeunesse, Pierre ;
Schmidhammer, Uli .
IEEE SENSORS JOURNAL, 2013, 13 (01)
[30]   Multi-Scale Analysis of Terahertz Time-Domain Spectroscopy for Inversion of Thermal Growth Oxide Thickness in Thermal Barrier Coatings [J].
Li, Rui ;
Ye, Dongdong ;
Xu, Jianfei ;
Pan, Jiabao .
COATINGS, 2023, 13 (07)