Fusion of Microwave and Eddy Current Data for a Multi-Modal Approach in Evaluating Corrosion Under Paint and in Lap Joints

Gupta, Kapil; Ghasr, Mohammad Tayeb; Kharkovsky, Sergey; Zoughi, R.; Stanley, R. Joe; Padwal, Ajay; O’Keefe, Matthew J.; Palmer, D. D.; Blackshire, James L.; Steffes, Gary; Wood, Nancy

doi:10.1063/1.2718027

Cited by 10 publications

(1 citation statement)

References 6 publications

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“…combined the traditional ECT and PECT to detect the hidden corrosion defects of an aircraft’s structure [27]. Gupta et al combined microwave and ECT to detect corrosion defects in riveted multilayer structures of aircraft [28]. EMAT with bulk wave demonstrates the ability to detect cracks in deep areas rather than near surface.…”

Section: Introductionmentioning

confidence: 99%

Physic perspective fusion of electromagnetic acoustic transducer and pulsed eddy current testing in non-destructive testing system

Guo

Gao

Tian

et al. 2020

Phil. Trans. R. Soc. A.

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Comprehensive non-destructive testing (NDT) for pipelines is a critical and challenging task. This paper proposes a novel physic perspective fusion NDT method of electromagnetic acoustic transducer (EMAT) and pulsed Eddy current testing (PECT) for detecting hybrid defects. This transceiver-integrated fusion sensor structure can simultaneously excite ultrasound and pulsed eddy current. Therefore, the generated ultrasound is applied to detect deep defects, while the eddy current detects surface defects. The theoretical derivation of EMAT and PECT fusion mechanism has been developed for analysis and interpretation of the results. In addition, numerical simulation on the detection of hybrid defects including surface defects with different width, depth and multiple bottom-thinning defects has been conducted. Experiments on both ferromagnetic and non-ferromagnetic material verify the feasibility of composite detection. Finally, tests have been validated on pipeline with weld defects, and the results show that the composite inspection method is capable of monitoring thickness variations and inspecting surface defects. This article is part of the theme issue ‘Advanced electromagnetic non-destructive evaluation and smart monitoring’.

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Section: Introductionmentioning

confidence: 99%