Metamaterial-Inspired Complementary Split Ring Resonator Sensor and Second-Order Approximation for Dielectric Characterization of Fluid

Kumar, A and Rajawat, MS and Mahto, SK and Sinha, R (2021) Metamaterial-Inspired Complementary Split Ring Resonator Sensor and Second-Order Approximation for Dielectric Characterization of Fluid. In: Journal of Electronic Materials .

PDF jou_ele_mat_50-10_5925-5932_2021.pdf - Published Version Restricted to Registered users only Download (1MB) | Request a copy

Abstract

A metamaterial-based complementary split ring resonator (CSRR) structure is used to develop a sensor for dielectric characterization of fluids. The fluid present in the vertical column interacts with the fields around the CSRR causing a shift in the transmission coefficient curve (S21). An empirical relationship can be established between the dielectric properties and the resonance frequency and Q-factor. This relationship is used for the dielectric characterization of the fluid. A second-order polynomial function is employed for a better curve fitting of the data to achieve higher accuracy in the prediction of complex permittivity (ε� and ε� �). Multi-variate polynomial regression is used to determine the coefficients of the polynomial function. The proposed sensor predicts the permittivity of the sample with high accuracy. The design is very simple and the sample can be easily changed by replacing the glass tube. The sensor has very high sensitivity and requires a very little volume of the sample. © 2021, The Minerals, Metals & Materials Society.

Item Type:	Journal Article
Publication:	Journal of Electronic Materials
Publisher:	Springer
Additional Information:	The copyright for this article belongs to Springer
Keywords:	Curve fitting; Functions; Metamaterials; Optical resonators; Permittivity; Polynomials; Q factor measurement; Ring gages; Rings (components), Complementary split ring resonators; Complementary split-ring resonator; Dielectric characterization; Empirical relationships; Resonance frequencies; Second-order approximation; Second-order polynomial; Transmission coefficients, Polynomial regression
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	28 Nov 2021 09:44
Last Modified:	28 Nov 2021 09:44
URI:	http://eprints.iisc.ac.in/id/eprint/69992

Actions (login required)

View Item