Physical constraints-based terahertz thickness measurement method of thermal barrier coating
Due to the uneven microstructure of the thermal barrier coatings (TBCs) and dispersion effect, there is a discrepancy between the measured terahertz (THz) signals and the theory, which leads to the optimization process of the model inversion method is prone to local extremes. This results in a lack...
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| Published in: | NDT & E international : independent nondestructive testing and evaluation Vol. 143; p. 103058 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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01.04.2024
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| ISSN: | 0963-8695, 1879-1174 |
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| Abstract | Due to the uneven microstructure of the thermal barrier coatings (TBCs) and dispersion effect, there is a discrepancy between the measured terahertz (THz) signals and the theory, which leads to the optimization process of the model inversion method is prone to local extremes. This results in a lack of reliability of THz thickness measurements based on model inversion. A THz inversion method based on physical constraints is proposed to measure the thickness of TBCs. In this paper, we illustrate the characteristics of the THz signal and propose a fitness function suitable for inversion of TBCs thickness. A feature comparison and adaptive mutation combined with teaching-learning-based optimization algorithm (FCAM-TLBO) is also proposed for inverting the theoretical model to extract ceramic layer thickness. The experiments show that the average relative error is less than 0.3 % for thickness measurements of TBC samples, which has better reliability than the conventional inversion methods. |
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| AbstractList | Due to the uneven microstructure of the thermal barrier coatings (TBCs) and dispersion effect, there is a discrepancy between the measured terahertz (THz) signals and the theory, which leads to the optimization process of the model inversion method is prone to local extremes. This results in a lack of reliability of THz thickness measurements based on model inversion. A THz inversion method based on physical constraints is proposed to measure the thickness of TBCs. In this paper, we illustrate the characteristics of the THz signal and propose a fitness function suitable for inversion of TBCs thickness. A feature comparison and adaptive mutation combined with teaching-learning-based optimization algorithm (FCAM-TLBO) is also proposed for inverting the theoretical model to extract ceramic layer thickness. The experiments show that the average relative error is less than 0.3 % for thickness measurements of TBC samples, which has better reliability than the conventional inversion methods. |
| ArticleNumber | 103058 |
| Author | Fan, Mengbao Sun, Fengshan Cao, Binghua Deng, Tao Ye, Bo |
| Author_xml | – sequence: 1 givenname: Binghua surname: Cao fullname: Cao, Binghua email: caobinghua@cumt.edu.cn organization: School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China – sequence: 2 givenname: Tao surname: Deng fullname: Deng, Tao email: d1286214737@163.com organization: School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China – sequence: 3 givenname: Mengbao surname: Fan fullname: Fan, Mengbao email: wuzhi3495@cumt.edu.cn organization: School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, 221116, China – sequence: 4 givenname: Fengshan surname: Sun fullname: Sun, Fengshan email: TB20050013B4@cumt.edu.cn organization: School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, 221116, China – sequence: 5 givenname: Bo surname: Ye fullname: Ye, Bo email: yeripple@hotmail.com organization: Kunming University of Science and Technology, Kunming, 650500, China |
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| Keywords | Teaching-learning based optimization algorithm Thermal barrier coatings Terahertz non-destructive testing Theoretical model Thickness measurement |
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