Comparative analysis between carbon nanotube and graphene based beam structure

Carbon nano allotropes such as carbon nanotubes (CNTs) and Graphene are in high demand due to their high young’s modulus, tensile strength, and low weight. These materials are also used as a coating in biomedical implants of Titanium (Ti-6Al-4V) and steel (316L Stainless Steel) alloy. Because of the...

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Bibliographic Details
Main Authors: Gariya, Narendra, Shaikh, Amir, Asrani, Anjas, Prasad, Brijesh
Format: Conference Proceeding
Language:English
Subjects:
Allotropy
Biosensors
Boundary conditions
Carbon
Carbon nanotubes
Finite element method
Graphene
Modal analysis
Modulus of elasticity
Resonant frequencies
Stress analysis
Stress distribution
Surgical implants
Tensile strength
Titanium base alloys
Transverse loads
Vibration analysis
Vibration mode
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Summary:Carbon nano allotropes such as carbon nanotubes (CNTs) and Graphene are in high demand due to their high young’s modulus, tensile strength, and low weight. These materials are also used as a coating in biomedical implants of Titanium (Ti-6Al-4V) and steel (316L Stainless Steel) alloy. Because of their lightweight, they are also used in electrochemical, optical, and biosensors. This study is focused on the stress analysis of pure CNT and Graphene beam structure. Numerical simulation is carried out using the theory of finite element analysis (FEA) in order to analyze the stress distribution in the beam under transverse load. Additionally, modal analysis is carried out on the beam structures to determine the natural frequency of vibration. The modal analysis is carried out for the first eight modes of vibration. Numerical study concluded that, the CNT beam experiences maximum stress of 223.4 kPa which is comparatively higher than the Graphene beam under similar loading and boundary conditions. However, CNT beam requires higher excitation force as compared to the Graphene beam to achieve the resonance condition. The results of this study can be used to optimize the CNT and Graphene based structure in the design phase by reducing the number of experiments or prototypes.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0182956