Back close

A computational approach to determine shielding effectiveness of carbon nanotube-based nanocomposites for \EMC\ application

Publication Type : Journal Article

Publisher : Computational Materials Science

Source : Computational Materials Science, Volume 126, p.400 - 406 (2017)

Url : http://www.sciencedirect.com/science/article/pii/S092702561630502X

Keywords : Nanocomposites

Campus : Coimbatore

School : School of Engineering

Department : Computer Science

Year : 2017

Abstract : Abstract A computational method to determine the shielding effectiveness against electromagnetic interference of carbon nanotube (CNTs)-based nanocomposites through modelling of its electrical properties is presented. Specifically, simulations based on Ant Colony Optimization (ACO) were implemented to evaluate the electrical conductivity (σ) of \{CNTs\} (used as a filler in a polymer matrix) that formed electrical network inside a representative cuboid volume of the sample. A pseudo three-dimensional (3D) percolation model was developed to study the effects of random connectivity of \{CNTs\} to one another on the conductivity of nanocomposites. In our approach, both contact and intrinsic resistances were taken into account. The tunneling resistance between \{CNTs\} was also taken into account while dealing with single-walled \{CNTs\} (SWCNTs). A resistor network recognition method that optimizes connective paths was built using \{ACO\} method and conductivity was subsequently computed as a function of \{CNTs\} concentration. Then, the shielding effectiveness was computed using the conductivity data. It is remarkable that the calculated \{SE\} values as a function of frequency of \{EM\} waves at a constant weight percent of \{CNTs\} were in agreement with the experimental data for CNT-based nanocomposites reported in literature.

Cite this Research Publication : S. S. Prabhu, Bhavani, R., Dr. Gireesh K. T., and Dr. T. Rajagopalan, “A computational approach to determine shielding effectiveness of carbon nanotube-based nanocomposites for \EMC\ application”, Computational Materials Science, vol. 126, pp. 400 - 406, 2017.

Admissions Apply Now