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Quantifying the Relative Thickness of Conductive Ferromagnetic Materials Using Detector Coil-Based Pulsed Eddy Current Sensors
Published on: January 16, 2020
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Design and Study of Pulsed Eddy Current Sensor for Detecting Surface Defects in Small-Diameter Bars
Lei Han1, Yi Jiang1, Ming Yuan2
1School of Electrical Engineering, Nanjing Vocational University of Industry Technology, Nanjing 210023, China.
Sensors (Basel, Switzerland)
|January 8, 2025
Summary
Researchers developed a novel non-coaxial differential eddy current sensor (Tx-Rx sensor) for precise surface defect detection in small-diameter rods. This optimized sensor design and experimental validation achieved quantitative defect depth detection with less than 5% error.
Area of Science:
- Materials Science and Engineering
- Non-Destructive Testing
- Electromagnetism
Background:
- Surface defects in small-diameter rods pose significant challenges for quality control.
- Accurate detection requires optimized sensor design and advanced detection technologies.
Purpose of the Study:
- To present the construction of a non-coaxial differential eddy current sensor (Tx-Rx sensor).
- To examine the detection of surface defects in small-diameter bars.
- To develop a quantitative model for defect depth assessment.
Main Methods:
- Development of a COMSOL 3D model to simulate eddy current distribution and defect signals.
- Optimization of Tx-Rx sensor parameters: coil dimensions, separation, and elevation.
- Establishment of an experimental system for defect detection in bar structures.
- Correlation of differential signal attenuation with defect depth.
Main Results:
- Simulation revealed variations in eddy current distribution and defect signal characteristics between plates and rods.
- Optimized sensor design enhanced detection capabilities.
- A model was proposed correlating signal attenuation with defect depth.
- Quantitative relative error for defect depth detection was less than 5%.
Conclusions:
- The developed non-coaxial differential eddy current sensor effectively detects surface defects in small-diameter bars.
- The proposed model provides a reliable method for quantitative defect depth measurement.
- This research offers a valuable reference for non-destructive evaluation of bar surface integrity.

