Research on Eddy Current Probes for Sensitivity Improvement in Fatigue Crack Detection of Aluminum Materials

Aluminum alloys under long-term service or repetitive stress are prone to small fatigue cracks (FCs) with arbitrary orientations, necessitating eddy current probes with focused magnetic fields and directional selectivity for reliable detection. This study presents a flexible printed circuit board (FPCB) probe with a double-layer planar excitation coil and a double-layer differential receiving coil. The excitation coil employs a reverse-wound design to enhance magnetic field directionality and focusing, while the differential receiving coil improves sensitivity and suppresses common-mode noise. The probe is optimized by adjusting the excitation coil overlap and the excitation-receiving coil angles to maximize eddy current concentration and detection signals. Finite element simulations and experiments confirm the system's effectiveness in detecting surface cracks of varying sizes and orientations. To further characterize these defects, two time-domain features are extracted: the peak-to-peak value (ΔP), reflecting amplitude variations associated with defect size and orientation, and the signal width (ΔW), primarily correlated with defect angle. However, substantial overlap in their value ranges for defects with different parameters means that these features alone cannot identify which specific parameter has changed, making prior defect classification using a Transformer-based approach necessary for accurate quantitative analysis. The proposed method demonstrates reliable performance and clear interpretability for defect evaluation in aluminum components.

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Publication Details

Journal
Sensors
Published
2025-10-03
DOI
https://doi.org/10.3390/s25196100
Citations
1
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.71
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Research on Eddy Current Probes for Sensitivity Improvement in Fatigue Crack Detection of Aluminum Materials

Lijuan Li, Qing Zhang, J. Zheng, Shengping Wu et al.
1 citations
Sensors
Non-Destructive Testing Techniques
0.71
article

Research on Eddy Current Probes for Sensitivity Improvement in Fatigue Crack Detection of Aluminum Materials

Lijuan Li, Qing Zhang, J. Zheng, Shengping Wu, Haitao Wang, Yanchang Wang
article en
1 citations

Abstract

Aluminum alloys under long-term service or repetitive stress are prone to small fatigue cracks (FCs) with arbitrary orientations, necessitating eddy current probes with focused magnetic fields and directional selectivity for reliable detection. This study presents a flexible printed circuit board (FPCB) probe with a double-layer planar excitation coil and a double-layer differential receiving coil. The excitation coil employs a reverse-wound design to enhance magnetic field directionality and focusing, while the differential receiving coil improves sensitivity and suppresses common-mode noise. The probe is optimized by adjusting the excitation coil overlap and the excitation-receiving coil angles to maximize eddy current concentration and detection signals. Finite element simulations and experiments confirm the system's effectiveness in detecting surface cracks of varying sizes and orientations. To further characterize these defects, two time-domain features are extracted: the peak-to-peak value (ΔP), reflecting amplitude variations associated with defect size and orientation, and the signal width (ΔW), primarily correlated with defect angle. However, substantial overlap in their value ranges for defects with different parameters means that these features alone cannot identify which specific parameter has changed, making prior defect classification using a Transformer-based approach necessary for accurate quantitative analysis. The proposed method demonstrates reliable performance and clear interpretability for defect evaluation in aluminum components.

SensorsVol. 25(19)
Nanjing Tech University (CN), Jiangsu Province Special Equipment Safety Supervision and Inspection Institute (CN), China State Shipbuilding (China) (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 27%
Non-Destructive Testing Techniques
0.71
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