Multiphysics Structured Eddy Current and Thermography Defects Diagnostics System in Moving Mode

Li, Haoran, Gao, Bin, Miao, Ling, Liu, Dong, Ma, Qiuping, Tian, Gui Yun and Woo, Wai Lok (2020) Multiphysics Structured Eddy Current and Thermography Defects Diagnostics System in Moving Mode. IEEE Transactions on Industrial Informatics. ISSN 1551-3203 (In Press)

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10th draft-Multiphysics Structured Eddy Current and Thermography Defects Diagnostics System in Moving Mode -lok.pdf - Accepted Version

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Official URL: https://doi.org/10.1109/tii.2020.2997836

Abstract

Eddy current testing (ET) and eddy current thermography (ECT) are both important non-destructive testing (NDT) methods that have been widely used in the field of conductive materials evaluation. Conventional ECT systems have often employed to test static specimens eventhough they are inefficient when the specimen is large. In addition, the requirement of high-power excitation sources tends to result in bulky detection systems. To mitigate these problems, a moving detection mode of multiphysics structured ET and ECT is proposed in which a novel L-shape ferrite magnetic yoke circumambulated with array coils is designed. The theoretical derivation model of the proposed method is developed which is shown to improve the detection efficiency without compromising the excitation current by ECT. The specimens can be speedily evaluated by scanning at a speed of 50-250 mm/s while reducing the power of the excitation current due to the supplement of ET. The unique design of the excitation-receiving structure has also enhanced the detectability of omnidirectional cracks. Moreover, it does not block the normal direction visual capture of the specimens. Both numerical simulations and experimental studies on different defects have been carried out and the obtained results have shown the reliability and detection efficiency of the proposed system.

Item Type: Article
Uncontrolled Keywords: Non-destructive testing (NDT), eddy current testing (ET), eddy current thermography (ECT), moving mode
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 03 Aug 2020 14:01
Last Modified: 05 Aug 2020 08:30
URI: http://nrl.northumbria.ac.uk/id/eprint/43956

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