Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling Method
This paper is concerned with the optimal design of axial probes, commonly used in the Non-Destructive Testing (NDT) of tube boiling in steam generators. The goal is to improve the low-frequency Foucault-current imaging of these deposits by designing a novel probe. The approach uses a combination of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/5/2448 |
| _version_ | 1797615377824350208 |
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| author | Brahim Benaissa Samir Khatir Mohamed Soufiane Jouini Mohamed Kamel Riahi |
| author_facet | Brahim Benaissa Samir Khatir Mohamed Soufiane Jouini Mohamed Kamel Riahi |
| author_sort | Brahim Benaissa |
| collection | DOAJ |
| description | This paper is concerned with the optimal design of axial probes, commonly used in the Non-Destructive Testing (NDT) of tube boiling in steam generators. The goal is to improve the low-frequency Foucault-current imaging of these deposits by designing a novel probe. The approach uses a combination of an inverse problem solver with global optimization to find the optimal probe characteristics by minimizing a function of merit defined using image processing techniques. The evaluation of the function of merit is computationally intensive and a surrogate optimization approach is used, incorporating a multi-particle search algorithm. The proposed design is validated through numerical experiments and aims to improve the accuracy and efficiency of identifying deposits in steam generator tubes. |
| first_indexed | 2024-03-11T07:25:25Z |
| format | Article |
| id | doaj.art-4e4fa4f486064b33850b7dc8e9eb6e46 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T07:25:25Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-4e4fa4f486064b33850b7dc8e9eb6e462023-11-17T07:38:47ZengMDPI AGEnergies1996-10732023-03-01165244810.3390/en16052448Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling MethodBrahim Benaissa0Samir Khatir1Mohamed Soufiane Jouini2Mohamed Kamel Riahi3Department of Mechanical Systems Engineering, Design Engineering Lab, Toyota Technological Institute, 2 Chome-12-1, Hisakata, Tempaku Ward, Nagoya 468-8511, JapanSoete Laboratory, Faculty of Engineering and Architecture, Ghent University, Technologiepark Zwijnaarde 903, B-9052 Zwijnaarde, BelgiumDepartment of Mathematics, Khalifa University of Sciences and Technology, Abu Dhabi P.O. Box 127788, United Arab EmiratesDepartment of Mathematics, Khalifa University of Sciences and Technology, Abu Dhabi P.O. Box 127788, United Arab EmiratesThis paper is concerned with the optimal design of axial probes, commonly used in the Non-Destructive Testing (NDT) of tube boiling in steam generators. The goal is to improve the low-frequency Foucault-current imaging of these deposits by designing a novel probe. The approach uses a combination of an inverse problem solver with global optimization to find the optimal probe characteristics by minimizing a function of merit defined using image processing techniques. The evaluation of the function of merit is computationally intensive and a surrogate optimization approach is used, incorporating a multi-particle search algorithm. The proposed design is validated through numerical experiments and aims to improve the accuracy and efficiency of identifying deposits in steam generator tubes.https://www.mdpi.com/1996-1073/16/5/2448NDToptimal designeddy-currentinverse problemlinear sampling methodfinite element method |
| spellingShingle | Brahim Benaissa Samir Khatir Mohamed Soufiane Jouini Mohamed Kamel Riahi Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling Method Energies NDT optimal design eddy-current inverse problem linear sampling method finite element method |
| title | Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling Method |
| title_full | Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling Method |
| title_fullStr | Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling Method |
| title_full_unstemmed | Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling Method |
| title_short | Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling Method |
| title_sort | optimal axial probe design for foucault current tomography a global optimization approach based on linear sampling method |
| topic | NDT optimal design eddy-current inverse problem linear sampling method finite element method |
| url | https://www.mdpi.com/1996-1073/16/5/2448 |
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