DETERMINATION OF TRANSMISSION COEFFICIENT AND ELECTRIC FIELD VISUALIZATION OF RICE HUSK PCL COMPOSITES USING FINITE ELEMENT METHOD FOR MICROWAVE DEVICES

DETERMINATION OF TRANSMISSION COEFFICIENT AND ELECTRIC FIELD VISUALIZATION OF RICE HUSK PCL COMPOSITES USING FINITE ELEMENT METHOD FOR MICROWAVE DEVICES

Journal of Nature, Science & Technology (JANSET)
Volume 2 - Issue 2 - April 2022

Ahmed Jimoh Mustapha Abbas Bilyaminu Usman Adetoro Abdulkadir Wale

Abstract

Material thickness is one factor that is considered in the selection of materials for usage in microwave applications. The demand for microwaves technology is widely needed in modern applications such as cellular telephone, satellite communication, radar system, global positioning system, and microwave remote sensing systems. Experiments and results abound for microwave properties determination for inorganic materials. Focus has recently been shifted to agricultural waste composite for microwave application. It is on this basis that this work primarily focuses on investigates microwave transmission coefficients and electric field visualization of different rice husk/PCL sizes placed inside a rectangular waveguide using the finite element method (FEM). Determination of the transmission coefficient for different thickness of rice husk/PCL composites were performed at X-band frequency using FEM. The thicknesses for the rice husk/PCL composites simulated were 10, 15, 20, 30, and 50 mm. The results of the simulation for the transmission coefficient revealed that the 50 mm composites had the lowest value of 0.148468 for the transmission coefficient at 12 GHz while the electric field visualization showed that the 50 mm composites have the least value of electric field intensity. The results confirms that the 50 mm thick sample absorbs the highest radiation. Based on the results obtained, all sample thickness can be used for microwave dummies.

Keywords

Transmission Coefficient; Rice Husks; Visualization; FEM; X-band; Composites thickness; Rectangular waveguide
https://doi.org/10.36937/janset.2022.6647