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基于硅油和氧化铁微纤维的电容器:磁场对电纳和电导的影响。

Electrical Capacitors Based on Silicone Oil and Iron Oxide Microfibers: Effects of the Magnetic Field on the Electrical Susceptance and Conductance.

作者信息

Bica Ioan, Anitas Eugen Mircea, Iacobescu Gabriela Eugenia

机构信息

Department of Physics, West University of Timisoara, V. Parvan Avenue 4, 300223 Timisoara, Romania.

Department of Physics, Craiova University, A. I. Cuza Street 13, 200585 Craiova, Romania.

出版信息

Micromachines (Basel). 2024 Jul 25;15(8):953. doi: 10.3390/mi15080953.

DOI:10.3390/mi15080953
PMID:39203604
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11355977/
Abstract

This paper presents the fabrication and characterization of plane capacitors utilizing magnetodielectric materials composed of magnetizable microfibers dispersed within a silicone oil matrix. The microfibers, with a mean diameter of about 0.94 μm, comprise hematite (α-FeO), maghemite (γ-FeO), and magnetite (FeO). This study investigates the electrical behavior of these capacitors under the influence of an external magnetic field superimposed on a medium-frequency alternating electric field, across four distinct volume concentrations of microfibers. Electrical capacitance and resistance measurements were conducted every second over a 60-s interval, revealing significant dependencies on both the quantity of magnetizable phase and the applied magnetic flux density. Furthermore, the temporal stability of the capacitors' characteristics is demonstrated. The obtained data are analyzed to determine the electrical conductance and susceptance of the capacitors, elucidating their sensitivity to variations in microfiber concentration and magnetic field strength. To provide theoretical insight into the observed phenomena, a model based on dipolar approximations is proposed. This model effectively explains the underlying physical mechanisms governing the electrical properties of the capacitors. These findings offer valuable insights into the design and optimization of magnetodielectric-based capacitors for diverse applications in microelectronics and sensor technologies.

摘要

本文介绍了利用由分散在硅油基体中的可磁化微纤维组成的磁电介质材料制造平面电容器及其特性表征。这些平均直径约为0.94μm的微纤维包含赤铁矿(α-Fe₂O₃)、磁赤铁矿(γ-Fe₂O₃)和磁铁矿(Fe₃O₄)。本研究考察了在叠加于中频交变电场的外部磁场影响下,这些电容器在四种不同微纤维体积浓度下的电学行为。每隔一秒在60秒的时间间隔内进行电容和电阻测量,结果表明其对可磁化相的数量和施加的磁通密度均有显著依赖性。此外,还展示了电容器特性的时间稳定性。对获得的数据进行分析以确定电容器的电导和电纳,阐明其对微纤维浓度和磁场强度变化的敏感性。为了从理论上深入了解所观察到的现象,提出了一个基于偶极近似的模型。该模型有效地解释了支配电容器电学性质的潜在物理机制。这些发现为基于磁电介质的电容器在微电子和传感器技术中的各种应用的设计和优化提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/6192d254032d/micromachines-15-00953-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/ae72b805143c/micromachines-15-00953-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/6d63b2247862/micromachines-15-00953-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/542dca6818ce/micromachines-15-00953-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/ea1e0a6c6e4e/micromachines-15-00953-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/ba15b6621dec/micromachines-15-00953-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/52204900827b/micromachines-15-00953-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/8c23e708f5fb/micromachines-15-00953-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/417c2e15374e/micromachines-15-00953-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/8a4e778184ca/micromachines-15-00953-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/7bd30f84d2f1/micromachines-15-00953-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/b2e8ecf5d401/micromachines-15-00953-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/6192d254032d/micromachines-15-00953-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/ae72b805143c/micromachines-15-00953-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/6d63b2247862/micromachines-15-00953-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/542dca6818ce/micromachines-15-00953-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/3b10e89808d6/micromachines-15-00953-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/897af87a24dd/micromachines-15-00953-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/ea1e0a6c6e4e/micromachines-15-00953-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/ba15b6621dec/micromachines-15-00953-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/52204900827b/micromachines-15-00953-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/8c23e708f5fb/micromachines-15-00953-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/417c2e15374e/micromachines-15-00953-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/8a4e778184ca/micromachines-15-00953-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/7bd30f84d2f1/micromachines-15-00953-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/b2e8ecf5d401/micromachines-15-00953-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf3/11355977/6192d254032d/micromachines-15-00953-g012.jpg

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