Miniaturized Design of Electromagnetic Acoustic Transducer and Its Application in Defect Detection

To address the limitations of bulky size and low energy conversion efficiency in conventional electromagnetic acoustic transducers (EMATs), this study proposes a miniaturized EMAT optimized for surface defect detection in thick steel plates. A two-dimensional multiphysics simulation model is developed in COMSOL to analyze the transduction process. Key design parameters including magnet geometry, coil configuration, and lift-off distance are optimized using orthogonal experimental design, resulting in a 52.4% volume reduction and a 4.9% increase in signal amplitude. To mitigate the performance degradation caused by miniaturization, a complementary ensemble empirical mode decomposition algorithm is employed, improving the signal-to-noise ratio (SNR) from 10 dB to 28.73dB. Experimental validation demonstrates strong beam directivity with a 12.93° half-angle and a sidelobe suppression ratio of 13.78dB. The surface wave velocity deviates by only 1.25% from the theoretical value, and the defect localization error remains within 1 mm. The proposed EMAT offers a compact, non-contact solution with high precision and robustness, well suited for robotic nondestructive testing (NDT) in complex industrial environments.

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Publication Details

Published
2025-08-27
DOI
https://doi.org/10.1109/m2vip67511.2025.11165559
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Miniaturized Design of Electromagnetic Acoustic Transducer and Its Application in Defect Detection

Xingsong Wang, Jie Li, Fang Wang, Feng Yang et al.
Industrial Vision Systems and Defect Detection
article

Miniaturized Design of Electromagnetic Acoustic Transducer and Its Application in Defect Detection

Xingsong Wang, Jie Li, Fang Wang, Feng Yang, Chunlei Tu, Mengqian Tian
article en

Abstract

To address the limitations of bulky size and low energy conversion efficiency in conventional electromagnetic acoustic transducers (EMATs), this study proposes a miniaturized EMAT optimized for surface defect detection in thick steel plates. A two-dimensional multiphysics simulation model is developed in COMSOL to analyze the transduction process. Key design parameters including magnet geometry, coil configuration, and lift-off distance are optimized using orthogonal experimental design, resulting in a 52.4% volume reduction and a 4.9% increase in signal amplitude. To mitigate the performance degradation caused by miniaturization, a complementary ensemble empirical mode decomposition algorithm is employed, improving the signal-to-noise ratio (SNR) from 10 dB to 28.73dB. Experimental validation demonstrates strong beam directivity with a 12.93° half-angle and a sidelobe suppression ratio of 13.78dB. The surface wave velocity deviates by only 1.25% from the theoretical value, and the defect localization error remains within 1 mm. The proposed EMAT offers a compact, non-contact solution with high precision and robustness, well suited for robotic nondestructive testing (NDT) in complex industrial environments.

Nanjing University of Posts and Telecommunications (CN), Jiangsu Province Special Equipment Safety Supervision and Inspection Institute (CN), Southeast University (CN)
Openalex Percentile: Top 64%
Industrial Vision Systems and Defect Detection
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Miniaturized Design of Electromagnetic Acoustic Transducer and Its Application in Defect Detection — Xingsong Wang, Jie Li, et al. · (2025) | TGRS Research Map | TGRS