Material Characterization Using Microwave Resonant Sensor

Ammar Abdullah, Hussein Al-Hegazi (2015) Material Characterization Using Microwave Resonant Sensor. Project Report. UTeM. (Submitted)

Text Material characterization using microwave resonant sensor 24 Pages.pdf - Submitted Version Download (464kB)

Abstract

Material Characterization is an important field in microwave engineering since it is involved in several systems and applications. Material characterization using Microwave resonant sensor is considered one of the most accurate way to obtain material properties. Resonant method usually has higher accuracy and sensitivity than other methods, and it is convenient for low loss materials. Nowadays some products that are available in markets and malls have prohibited or unhealthy ingredients that can effect on consumers health. To save consumers from being affected by these products, it is important to provide a device that can identify and characterize some kind of food we eat every day. A review of dielectric material properties and currently available measurement methods is included. Double ring resonant with 1 GHz microstrip design is presented for the measurement of thin and low-loss materials such as chicken, beef and fish. This design is based on electromagnetic simulation in terms of resonant frequency, quality factor and permittivity. Design, simulation, fabrication and measurement process are illustrated in this study. Comparison between simulation and measurement results is shown in this study. In this study measurement of a sample of meat shows that when the thickness of the sample increases, the effective permittivity also increases. Measurement results in this thesis shows that Q-factor of the resonant decreases when overlay the double ring with meat sample. Material characterization is very important since it is employed in different fields such as agriculture, industries in food processing, geo-science, bio-engineering, pharmaceutical industry and in food manufacturing. Material characterization provides useful information to improve the design, processing, quality and control of product.

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