High-Frequency Resonance Eddy Current Multiparameter Fusion Sensing Method for 12CrMoV Steel Thermal Aging Characterization

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2025-02-03 DOI:10.1109/JSEN.2025.3531785

Geng Yang;Dong Liu;Kun Zeng;Zenghua Liu;Jinjie Cheng;Yang Zheng;Diyuan Zou;Jing Zhou;Runsen Liu;Guiyun Tian;Bin Gao

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引用次数: 0

Abstract

The minimal lattice changes caused by thermal aging present a significant challenge for nondestructive testing. This study proposes the use of a high-frequency resonance eddy current (R-ECT) sensor and a multiphysical field fusion method to address this issue. Initially, high-frequency resonance technology is employed, whereby not only is an eddy current secondary magnetic field generated but also an electric field in the gap between the planar coil and the metal. Therefore, the excitation of a multiphysical field in eddy current sensors has been achieved. Second, a probe multiparameter separation algorithm is proposed. Consequently, the separation of the magnetic and electric fields can be achieved. The results of experiments conducted on 12CrMoV steel demonstrate that the parameter capacitance relating to electric fields is more accurate and linear than the parameters resistance and inductance relating to eddy current secondary magnetic fields. Finally, the multiparameter and multiphysical field fusion method is discussed in order to enhance the accuracy of thermal aging characterization. The results of the experiments demonstrate that the fusion characterization method, which combines resistance and capacitance, leads to a significant reduction in error, by as much as 80%, when applied to the characterization of eddy current magnetic fields and gap electric fields.

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice