基于重正化群法的电容成像（CI）传感器半分析模型

IF 1.6 4区工程技术 Q3 INSTRUMENTS & INSTRUMENTATION

Sensor Review Pub Date : 2024-04-12 DOI:10.1108/sr-01-2024-0070

Zhen Li, Jianqing Han, Mingrui Zhao, Yongbo Zhang, Yanzhe Wang, Cong Zhang, Lin Chang

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引用次数: 0

摘要

目的本研究旨在设计和验证电容式成像（CI）传感器的理论模型，该模型包含电极内屏蔽和周围屏蔽电极。通过实验验证，证明了该理论模型在评估配备屏蔽电极的 CI 传感器方面的有效性。利用重正化群方法和物理模型，提出了推导半解析模型的方法。根据 CI 传感器的随机几何参数，利用模拟模型和理论模型计算出电容值。研究结果表明，CI 传感器半解析模型的误差主要低于 5%，所有误差均低于 10%。这表明，使用重正化群法得出的半解析模型能有效评估配备屏蔽电极的 CI 传感器。实验结果证明了理论模型在准确预测 CI 传感器电容值方面的有效性。原创性/价值通过将电极间屏蔽和周围屏蔽电极纳入模型，对 CI 传感器的理论模型进行了描述。这种综合方法可以更准确地评估 CI 传感器的探测能力，并优化其性能。

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The semi-analytical model of capacitive imaging (CI) sensors based on the renormalization group method

Purpose

This study aims to design and validate a theoretical model for capacitive imaging (CI) sensors that incorporates the interelectrode shielding and surrounding shielding electrodes. Through experimental verification, the effectiveness of the theoretical model in evaluating CI sensors equipped with shielding electrodes has been demonstrated.

Design/methodology/approach

The study begins by incorporating the interelectrode shielding and surrounding shielding electrodes of CI sensors into the theoretical model. A method for deriving the semianalytical model is proposed, using the renormalization group method and physical model. Based on random geometric parameters of CI sensors, capacitance values are calculated using both simulation models and theoretical models. Three different types of CI sensors with varying geometric parameters are designed and manufactured for experimental testing.

Findings

The study’s results indicate that the errors of the semianalytical model for the CI sensor are predominantly below 5%, with all errors falling below 10%. This suggests that the semianalytical model, derived using the renormalization group method, effectively evaluates CI sensors equipped with shielding electrodes. The experimental results demonstrate the efficacy of the theoretical model in accurately predicting the capacitance values of the CI sensors.

Originality/value

The theoretical model of CI sensors is described by incorporating the interelectrode shielding and surrounding shielding electrodes into the model. This comprehensive approach allows for a more accurate evaluation of the detecting capability of CI sensors, as well as optimization of their performance.

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来源期刊

Sensor Review 工程技术-仪器仪表

CiteScore

3.40

自引率

6.20%

发文量

审稿时长

3.7 months

期刊介绍： Sensor Review publishes peer reviewed state-of-the-art articles and specially commissioned technology reviews. Each issue of this multidisciplinary journal includes high quality original content covering all aspects of sensors and their applications, and reflecting the most interesting and strategically important research and development activities from around the world. Because of this, readers can stay at the very forefront of high technology sensor developments. Emphasis is placed on detailed independent regular and review articles identifying the full range of sensors currently available for specific applications, as well as highlighting those areas of technology showing great potential for the future. The journal encourages authors to consider the practical and social implications of their articles. All articles undergo a rigorous double-blind peer review process which involves an initial assessment of suitability of an article for the journal followed by sending it to, at least two reviewers in the field if deemed suitable. Sensor Review’s coverage includes, but is not restricted to: Mechanical sensors – position, displacement, proximity, velocity, acceleration, vibration, force, torque, pressure, and flow sensors Electric and magnetic sensors – resistance, inductive, capacitive, piezoelectric, eddy-current, electromagnetic, photoelectric, and thermoelectric sensors Temperature sensors, infrared sensors, humidity sensors Optical, electro-optical and fibre-optic sensors and systems, photonic sensors Biosensors, wearable and implantable sensors and systems, immunosensors Gas and chemical sensors and systems, polymer sensors Acoustic and ultrasonic sensors Haptic sensors and devices Smart and intelligent sensors and systems Nanosensors, NEMS, MEMS, and BioMEMS Quantum sensors Sensor systems: sensor data fusion, signals, processing and interfacing, signal conditioning.