Dual-Frequency Electromagnetic Sensor for Nondestructive Evaluation of “Insulator-Conductor” Hybrid Structures

Insulator-conductor hybrid structures are widely used in various engineering fields. However, the differing properties of the materials comprising these structures result in different types of defects, posing challenges for comprehensive nondestructive testing and evaluation. This research proposes a dual-frequency electromagnetic sensor capable of inspecting both insulating and conductive materials. By employing a superposition of high-frequency and low-frequency signals for excitation, the sensor simultaneously performs detection in two modes, namely capacitive and inductive. The sensor’s frequency response characteristics are optimized through the incorporation of compensating inductors and capacitors, significantly enhancing sensitivity to capacitance while maintaining eddy current detection capability. This sensor addresses the challenges posed by the complex structure and rigorous timing requirements of conventional dual-mode sensor systems. Furthermore, a compact signal processing system was developed. Finally, experiments were conducted using the developed dual-frequency detection system to detect various types of defects, verifying its effectiveness and feasibility. The experimental results demonstrate that the characteristics of the two frequencies are complementary, and the developed system effectively detects and distinguishes between material-deficient defects in plexiglass and both material-deficient defects and cracks in aluminum alloys, thus fulfilling the requirements for identifying and locating defects in hybrid structures in practical applications.

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Publication Details

Journal
IEEE Transactions on Industrial Electronics
Published
2024-12-27
DOI
https://doi.org/10.1109/tie.2024.3519582
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
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article

Dual-Frequency Electromagnetic Sensor for Nondestructive Evaluation of “Insulator-Conductor” Hybrid Structures

Mingzhen Zhao, Junjie Huang, Xin’an Yuan, Martin Mwelango et al.
IEEE Transactions on Industrial Electronics
Sensor Technology and Measurement Systems
article

Dual-Frequency Electromagnetic Sensor for Nondestructive Evaluation of “Insulator-Conductor” Hybrid Structures

Mingzhen Zhao, Junjie Huang, Xin’an Yuan, Martin Mwelango, Xiaokang Yin, Wei Li, Pengcheng Ma, G. Rong
article en

Abstract

Insulator-conductor hybrid structures are widely used in various engineering fields. However, the differing properties of the materials comprising these structures result in different types of defects, posing challenges for comprehensive nondestructive testing and evaluation. This research proposes a dual-frequency electromagnetic sensor capable of inspecting both insulating and conductive materials. By employing a superposition of high-frequency and low-frequency signals for excitation, the sensor simultaneously performs detection in two modes, namely capacitive and inductive. The sensor’s frequency response characteristics are optimized through the incorporation of compensating inductors and capacitors, significantly enhancing sensitivity to capacitance while maintaining eddy current detection capability. This sensor addresses the challenges posed by the complex structure and rigorous timing requirements of conventional dual-mode sensor systems. Furthermore, a compact signal processing system was developed. Finally, experiments were conducted using the developed dual-frequency detection system to detect various types of defects, verifying its effectiveness and feasibility. The experimental results demonstrate that the characteristics of the two frequencies are complementary, and the developed system effectively detects and distinguishes between material-deficient defects in plexiglass and both material-deficient defects and cracks in aluminum alloys, thus fulfilling the requirements for identifying and locating defects in hybrid structures in practical applications.

IEEE Transactions on Industrial ElectronicsVol. 72(7)
China University of Petroleum, East China (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
Sensor Technology and Measurement Systems
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