Design of DS-CSRR Based Microwave Sensor for Efficient Measurement of Dielectric Constant of Materials

Samad, Abdul; Hu, Wei; Shahzad, Waseem; Raza, Hamid Saeed

doi:10.1109/icccs49078.2020.9118544

Cited by 2 publications

(2 citation statements)

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“…MTM-inspired sensors then can be designed to operate in a single band [36, 37, 41-43, 46-49, 51] or multibands [23,33,34,[59][60][61] with higher sensitivity. MTM-inspired sensors have been employed for a variety of detecting purposes, for instance, liquidor fluid [23-25, 34, 43, 44, 46-48, 53-55, 57, 63, 65-69, 95], solid dielectric material [35,36,38,52,58,62,70], or biomaterials [37,49,50,80,91].…”

Section: Bowtie Testing With Transition Metals and Metalloidsmentioning

confidence: 99%

“…Metamaterial DesignMetamaterials (MTMs), engineered or artificial electromagnetic materials, have been implemented in various electromagnetic applications, e.g., MTM-inspired sensors[20][21][22][23][24][25] and MTM-inspired antennas[92][93][94]. Typical MTM structures are fabricated using metals or conductive materials, e.g., gold (Au), silver (Ag), palladium (Pd)[33,42,44,45], and Copper (Cu)[38,56]. Split ring resonators (SRR) in both circular…”

mentioning

confidence: 99%

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Metal Discovery by Highly Sensitive Microwave Multi-Band Metamaterial-Inspired Sensors

Al-Duhni¹,

Wongkasem²

2021

PIER B

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A simple, compact, contactless, and high sensitivity metamaterial-inspired sensor has been developed to detect and classify precious transition metals in the S-and C-band regime, using reflection coefficients. A multi-band metamaterial, quadruple concentric circular split ring resonator, is specifically designed as a sensing enhancer, where the additional bands can effectively trigger the electromagnetic properties, as well as enhance the differentiation between the testing metal samples. The proposed sensor was tested on precious transition metals, silver, platinum, and gold thin slabs of various thicknesses, from 0.5 µm to 3 mm. Five resonances were established in the frequency range of 2-8 GHz. Distinguishable frequency responses generated from different metal samples at those five resonances specify the capability of classifying the metal contents and thicknesses.

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