Evidence map›Paper›PMID 41094923›Full record

ArticleSensors (Basel, Switzerland)2025

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

Qing Zhang, Jiahuan Zheng, Shengping Wu, Yanchang Wang, Lijuan Li, Haitao Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Qing ZhangCollege of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China.ORCID 0009-0009-3880-784X
Jiahuan ZhengCollege of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China.ORCID 0009-0008-7692-9453
Shengping WuDirectly Affiliated Branch Institute, Special Equipment Safety Supervision Inspection Institute of Jiangsu Province, Nanjing 210009, China.
Yanchang Wang713th Research Institution, China State Shipbuilding Corporation Limited, Zhengzhou 450052, China.
Lijuan LiCollege of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China.ORCID 0000-0002-3694-5570
Haitao WangCollege of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

directional selectivityeddy current probefatigue cracksmagnetic field focusing

Identifiers

PMID41094923
PMCPMC12526759

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.