Design of Coplanar Capacitive Sensors With Measurement Capability at Different Depths

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Zhao Pan;Fang Chen;Zhiyang Ding;Jiajia Rong;Yuyan Zhang;Yintang Wen
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引用次数: 0

Abstract

A new type of coplanar capacitance sensor was designed to address the problem that coplanar capacitance sensors are difficult to use for measuring and characterizing defects at different depths in materials. Under different excitation modes, the sensor achieved a maximum penetration depth of 8 mm and a minimum penetration depth of 4 mm, successfully enabling the detection of defects at varying depths. Additionally, to resolve the discrepancy between the penetration depth calculated by traditional theoretical formulas and the actual penetration depth of the sensor, a new measurement method based on the liftoff technique was proposed. The penetration depth calculated using the theoretical formula derived from this method shows greater accuracy.
具有不同深度测量能力的共面电容式传感器设计
针对共面电容传感器难以测量和表征材料中不同深度缺陷的问题,设计了一种新型共面电容传感器。在不同激励模式下,传感器最大穿透深度为8 mm,最小穿透深度为4 mm,成功实现了不同深度缺陷的检测。此外,针对传统理论公式计算的侵彻深度与传感器实际侵彻深度之间的差异,提出了一种基于升空技术的新型测量方法。用该方法导出的理论公式计算侵彻深度,精度较高。
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来源期刊
IEEE Sensors Journal
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
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