基于互补劈环谐振器的介电特性表征

H. M. Teoh, S. Yee
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引用次数: 0

摘要

基于射频和微波测量的材料表征方法被高度要求。介电性能在电子电路设计、食品工业、医药卫生等领域具有重要意义。在这项工作中,提出了一种基于互补裂环谐振器(CSRR)的传感器用于介电测量。该方法可同时测定相对介电常数和相对渗透率,制样过程简单。本课题重点研究了CSRR的设计、仿真和预测公式。该CSRR谐振频率为2.477 GHz,无负载时质量因数为128.91。当介质材料放置在不同区域的感应区域时,谐振频率和品质因子的变化基本上是存在的。根据材料的介电常数、实际磁导率、归一化谐振频率、反归一化品质因子、电损耗正切和磁损耗正切,提出了四种预测公式。这些公式用于测量FR-4、聚酰亚胺和自定义材料的介电常数和磁导率。经比较,电损耗切线和磁损耗切线的计算结果与参考数据的误差百分比分别为10%和4.1%。介电常数和实际磁导率的最大百分比误差分别为4.5%和4.29%。从误差百分比来看,该预测公式对介电测量是可靠的。本项目未来的工作重点是通过实验测量来验证其实际性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dielectric Properties Characterization Based on Complementary Split-Ring Resonator
Material characterization method based on radio frequency and microwave measurements is highly demanded. The dielectric properties are very important for electronic circuit design, food industry, and medicine and health care. In this work, a complementary split-ring resonator (CSRR)-based sensor employed in the ground plane is proposed for dielectric measurement. This method enables the determination of both relative permittivity and relative permeability at the same time as well as simple sample preparation process. This project focuses on the design, simulation and the prediction formulae of the CSRR. This CSRR is resonating at 2.477 GHz with a quality factor of 128.91 in unloaded condition. Basically, there are shifting in the resonance frequency and the change of the quality factor when dielectric material is placed at the sensing area in separate zones. Four prediction formulas are proposed, which they are depend on the dielectric constant, real permeability, normalized resonance frequency, inverse normalized quality factor, electric loss tangent and magnetic loss tangent of the materials. These formulae are used to measure the permittivity and permeability of FR-4, Polyimide, and self-defined material. Based on the comparison, the percentage error between calculated result and reference data are 10% and 4.1% for electric and magnetic loss tangent respectively. The maximum percentage error in dielectric constant and real permeability are 4.5% and 4.29% respectively. Based on the percentage of error, it is convincing that the prediction formulas are reliable for dielectric measurement. Future work of this project should focus on verification of its actual performance through experimental measurement.
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