基于应力无关电磁热耦合建模的巨型磁致伸缩传感器热分析

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Sensors Journal Pub Date : 2024-10-03 DOI:10.1109/JSEN.2024.3469195
Zhihe Zhang;Xin Yang;Yukai Chen;Haobin Zheng
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引用次数: 0

摘要

巨磁致伸缩材料(GMM)的温度敏感性是影响巨磁致伸缩传感器(GMT)性能的关键因素。由于 GMT 内部构造复杂以及 GMM 的多变量特性,GMT 的热分析相当复杂,必须与磁分析和损耗分析相结合。由于模型扩展困难且计算成本高,有限元(FE)方法在对多变量依赖的 GMT 进行电磁-热分析时存在局限性。有鉴于此,本文在等效电路模型(ECM)的基础上,结合改进的多变量 Jiles-Atherton (JA) 模型,提出了一种新型电磁热耦合(EMTC)模型。通过循环迭代模型参数,该模型可在 MATLAB/Simulink 中模块化执行,以较低的计算成本准确估计电磁热行为。鉴于磁场、损耗和温度的复杂分布,建立了详细的电磁-热分析模型。修正的多变量 JA 模型考虑了 GMM 电磁损耗对激励振幅、频率和温度的敏感性,取代了传统的损耗预测。以纵向振动 GMT(LVGMT)为研究案例,进行了实验研究,验证了所提出的电磁热分析方法在瞬态温度响应方面的准确性和有效性,其计算速度约为 FE 仿真的五倍。
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Thermal Analysis of Giant Magnetostrictive Transducer Based on Stress-Independent Electromagnetic-Thermal Coupling Modeling
The temperature sensitivity of giant magnetostrictive materials (GMMs) is a key factor affecting the performance of giant magnetostrictive transducers (GMTs). Attributed to the complicated configuration inside GMTs and the multivariate-dependent characteristics of GMMs, thermal analysis of GMTs is pretty complex and has to be integrated with magnetic and loss analysis. With the difficulty of model extension and high computational cost, the finite element (FE) method has limitations in the electromagnetic-thermal analysis for multivariate-dependent GMTs. In view of the above, this article proposes a novel electromagnetic-thermal coupling (EMTC) model based on the equivalent circuit models (ECMs) by combining it with a modified multivariate Jiles-Atherton (JA) model. By cyclically iterating the model parameters, it can be performed modularly in MATLAB/Simulink to accurately estimate the electromagnetic-thermal behaviors with a low computational cost. Given the complex distribution of magnetic field, loss, and temperature, a detailed electromagnetic-thermal analytic model is established. The modified multivariate JA model, which considers the sensitivity of electromagnetic losses of GMM with excitation amplitude, frequency, and temperature, replaced the conventional loss prediction. Taking a longitudinal vibration GMT (LVGMT) as a study case, experimental investigations are performed, which verify the accuracy and effectiveness of the proposed EMTC method in transient temperature response with about five times the computational speed of FE simulations.
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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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