Vibrational Characteristics of Functionally Graded Graphene-silicon Nanosheet Composites

Pandey, Ashok Kumar and Gangele, Aparna (2017) Vibrational Characteristics of Functionally Graded Graphene-silicon Nanosheet Composites. In: Proceedings of the International Conference on Nanotechnology: Ideas, Innovations and Initiatives, 6-8 December 2017, IIT Roorkee, India.

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Abstract

Graphene and its composite have found various applications in a wide range of fields due to their excellent mechanical, electrical, optical, and magnetic properties. Major reason for the successful implementation of graphene based material in various fields lie in its ability to get compiled with other bulk material. Consequently, to improve the characteristics of silicon based sensors and actuators, recent research focus has been on tailoring the properties of thin layer of silicon and graphene. In this study, we focus on vibrational characteristics of graphene-silicon nanosheet composite (GSNC). To perform the study, we first compute the elastic modulus of GSNC using nonlinear finite element method based on continuum and micromechanics approaches. The carbon bond in graphene is modelled with beam element whose properties are obtained based using micromechanics based on modified Morse potential. The silicon substrate is modelled using conventional continuum mechanics. The interface between graphene and silicon is model using spring element with its parameter obtained from the Vander Waals interaction potential. Subjected to tensile loading at the free end, the stress-strain curve is obtained in order to compute its elastic modulus. Using the computed elastic modulus, we perform modal analysis to compute the fundamental frequency and modes of first bending mode. We perform the analysis for silicon layer with top layer of single layer graphene sheet (Gr-Si) and that with top and both layers of graphene sheet (Gr-Si-Gr). Based on the modal analysis, we found that the stiffness of GSNC increases significantly which lead to increase in its fundamental frequency. Additionally, we also found that the frequency of Gr-Si-Gr composite is more as compare to that of Gr-Si. The formulation developed in this work can be effectively used to perform analyse to optimize the elastic and vibration characteristics of different types of graphene based composites.

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