Analytical and FEM Modeling of a Magnetoelastic Pressductor-Type Sensor

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Šimon Gans;Ján Molnár;Dobroslav Kováč;Milan Guzan;Matej Bereš;Branislav Fecko;Tibor Vince
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Abstract

This article deals with the modeling of the effect that winding placement has on magnetoelastic Pressductor-type sensors. A review of the current research state of such sensors was done in the introduction. Usually, the perpendicular x-shape of coils is used. From simulations, it was observed that a higher sensitivity of root mean square (RMS) voltage change due to force can be obtained by changing the winding position. A simplified analytical model was derived that holds while the magnetizing current characteristics ensure linearity of the material behavior. The mechanical, electrical, and mechanical material characteristics were measured and incorporated into a finite element method (FEM) model and then compared to the mathematical model and to experimental results. Multiple sensor samples were created, and their sensitivity to external tensile loading was measured using special test equipment. A good fit between FEM and experiment was observed. The reasons for the discrepancies between the analytic model and the experiments have been presented in the conclusion.
磁弹性压力式传感器的分析与有限元建模
本文讨论了绕组位置对磁弹性压力传感器的影响的建模。引言部分对此类传感器的研究现状进行了综述。通常,使用垂直的x形线圈。仿真结果表明,通过改变绕组位置,可以获得更高灵敏度的均方根电压变化。推导了一个简化的解析模型,该模型在磁化电流特性保证材料性能线性的情况下成立。测量材料的机械、电气和机械特性,并将其纳入有限元方法(FEM)模型,然后与数学模型和实验结果进行比较。制作了多个传感器样品,并使用专用测试设备测量了它们对外部拉伸载荷的灵敏度。有限元分析结果与实验结果吻合较好。结论部分给出了分析模型与实验结果不一致的原因。
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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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