Optimal Axial-Probe Design for Foucault-Current Tomography: A Global Optimization Approach Based on Linear Sampling Method

被引：12

作者：

Benaissa, Brahim ^{[1
]}

Khatir, Samir ^{[2
]}

Jouini, Mohamed Soufiane ^{[3
]}

Riahi, Mohamed Kamel ^{[3
,4
,5
]}

机构：

[1] Toyota Technol Inst, Dept Mech Syst Engn, Design Engn Lab, 2 Chome-12-1,Hisakata,Tempaku Ward, Nagoya 4688511, Japan

[2] Univ Ghent, Fac Engn & Architecture, Soete Lab, Technologiepark Zwijnaarde 903, B-9052 Zwijnaarde, Belgium

[3] Khalifa Univ Sci & Technol, Dept Math, POB 127788, Abu Dhabi, U Arab Emirates

[4] Khalifa Univ Sci & Technol, Emirates Nucl Technol Ctr ENTC, POB 127788, Abu Dhabi, U Arab Emirates

[5] Khalifa Univ, POB 127788,Zarkuh Bldg,SAN Campus, Abu Dhabi, U Arab Emirates

来源：

ENERGIES | 2023年 / 16卷 / 05期

关键词：

NDT; optimal design; eddy-current; inverse problem; linear sampling method; finite element method; surrogate optimization; EDDY-CURRENT; STEAM-GENERATORS; TUBES; COIL;

D O I：

10.3390/en16052448

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页数：15

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