An Eddy Current Probe With Minimum Background Magnetic Field for the Detection of Deeply Buried Defects

Detecting deeply buried subsurface defect is a challenging task for eddy current testing (ECT). This study introduces a novel ECT probe designed for the detection of deeply buried defects in conductive materials. The key innovation of this probe lies in the utilization of two identical rectangular coils coupled with a high-sensitivity Hall sensor. The configuration of the coils generates maximum magnitude of eddy current while minimizing the background magnetic field perpendicular to the specimen surface, ideally achieving zero magnetic field in the center region of probe. This design allows the probe to effectively leverage magnetic sensors with high spatial resolution and sensitivity, enabling the detection of weak magnetic field disturbances caused by subsurface defects. To optimize the probe parameters, as well as maximizing the distribution of eddy currents in the plate, a theoretical model based on the second order vector potential (SOVP) formalism was derived. Moreover, FEM simulations and experiments were conducted to evaluate the detection capabilities of the optimized probe. The experimental results demonstrate that the ECT probe is capable of reliably detecting subsurface defects, when a defect with the size of 20×1×1 mm³ locates 9 mm below the surface of a 10 mm thick stainless steel specimen.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-04-14
DOI
https://doi.org/10.1109/jsen.2025.3558650
Citations
4
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
2.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Eddy Current Probe With Minimum Background Magnetic Field for the Detection of Deeply Buried Defects

Bo Feng, Helena G. Ramos, Prashanth Baskaran, Dário J. Pasadas et al.
4 citations
IEEE Sensors Journal
Non-Destructive Testing Techniques
2.85
article

An Eddy Current Probe With Minimum Background Magnetic Field for the Detection of Deeply Buried Defects

Bo Feng, Helena G. Ramos, Prashanth Baskaran, Dário J. Pasadas, Lian Xie, A. Lopes Ribeiro
article en
4 citations

Abstract

Detecting deeply buried subsurface defect is a challenging task for eddy current testing (ECT). This study introduces a novel ECT probe designed for the detection of deeply buried defects in conductive materials. The key innovation of this probe lies in the utilization of two identical rectangular coils coupled with a high-sensitivity Hall sensor. The configuration of the coils generates maximum magnitude of eddy current while minimizing the background magnetic field perpendicular to the specimen surface, ideally achieving zero magnetic field in the center region of probe. This design allows the probe to effectively leverage magnetic sensors with high spatial resolution and sensitivity, enabling the detection of weak magnetic field disturbances caused by subsurface defects. To optimize the probe parameters, as well as maximizing the distribution of eddy currents in the plate, a theoretical model based on the second order vector potential (SOVP) formalism was derived. Moreover, FEM simulations and experiments were conducted to evaluate the detection capabilities of the optimized probe. The experimental results demonstrate that the ECT probe is capable of reliably detecting subsurface defects, when a defect with the size of 20×1×1 mm³ locates 9 mm below the surface of a 10 mm thick stainless steel specimen.

IEEE Sensors JournalVol. 25(12)
University of Lisbon (PT), Instituto de Telecomunicações (PT), Huazhong University of Science and Technology (CN)
Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 10%
Non-Destructive Testing Techniques
2.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.