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Microwave characterization of bio-composites materials based finite element and Nicholson-Ross-Weir methods


Citation

Ahmad, Ahmad Fahad and Abbas, Zulkifly and Obaiys, Suzan Jabbar and Ibrahim, Nor Azowa and Zainuddin, Mohamad Faiz (2015) Microwave characterization of bio-composites materials based finite element and Nicholson-Ross-Weir methods. Malaysian Journal of Science, 34 (2). pp. 180-184. ISSN 0126-7906

Abstract

In this work, Bio-composite of oil palm empty fruit bunch fibre (OPEFB)-filler and polycaprolactone (PCL)-polymer has been prepared and characterized. The functional groups and morphology of the prepared samples were characterized by Fourier transform infrared spectroscopy (FT-IR). By using the Nicholson- Ross-Weir (NRW) mode, both of real and imaginary relative permittivity values of the samples were obtained simultaneously from the reflection and transmission coefficient measurements of the materials. Whereas, the attenuation with the field distribution at the waveguide filled with a sample were considered by using the Finite Element Method (FEM). The magnitude of the reflection and transmission (R/T) coefficients of the composite with different filler percentages were measured using rectangular waveguide in conjunction with a microwave vector network analyzer (VNA) in X-band range of frequency. The computations of the S-parameters were achieved by using the FEM technique along with NRW mode. Then, the obtained results were compared with the measured R/T coefficients. Relative error results nominated the FEM mode due to its highly accurate results than the other method.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Environmental Studies
Faculty of Science
Institute for Mathematical Research
Publisher: Faculty of Science, University of Malaya
Keywords: Microwave measurements; OPEFB; PCL; Bio-composite
Depositing User: Nabilah Mustapa
Date Deposited: 04 May 2017 04:33
Last Modified: 04 May 2017 04:33
URI: http://psasir.upm.edu.my/id/eprint/51962
Statistic Details: View Download Statistic

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