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3D Finite Element Simulation of Graphene Nano-Electro-Mechanical Switches

In this paper, we report the finite element method (FEM) simulation of double-clamped graphene nanoelectromechanical (NEM) switches. Pull-in and pull-out characteristics are analyzed for graphene NEM switches with different dimensions and these are consistent with the experimental results. This nume...

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Detalles Bibliográficos
Autores principales: Kulothungan, Jothiramalingam, Muruganathan, Manoharan, Mizuta, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189816/
https://www.ncbi.nlm.nih.gov/pubmed/30404315
http://dx.doi.org/10.3390/mi7080143
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author Kulothungan, Jothiramalingam
Muruganathan, Manoharan
Mizuta, Hiroshi
author_facet Kulothungan, Jothiramalingam
Muruganathan, Manoharan
Mizuta, Hiroshi
author_sort Kulothungan, Jothiramalingam
collection PubMed
description In this paper, we report the finite element method (FEM) simulation of double-clamped graphene nanoelectromechanical (NEM) switches. Pull-in and pull-out characteristics are analyzed for graphene NEM switches with different dimensions and these are consistent with the experimental results. This numerical model is used to study the scaling nature of the graphene NEM switches. We show the possibility of achieving a pull-in voltage as low as 2 V for a 1.5-μm-long and 3-nm-thick nanocrystalline graphene beam NEM switch. In order to study the mechanical reliability of the graphene NEM switches, von Mises stress analysis is carried out. This analysis shows that a thinner graphene beam results in a lower von Mises stress. Moreover, a strong electrostatic force at the beam edges leads to a mechanical deflection at the edges larger than that around the center of the beam, which is consistent with the von Mises stress analysis.
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spelling pubmed-61898162018-11-01 3D Finite Element Simulation of Graphene Nano-Electro-Mechanical Switches Kulothungan, Jothiramalingam Muruganathan, Manoharan Mizuta, Hiroshi Micromachines (Basel) Article In this paper, we report the finite element method (FEM) simulation of double-clamped graphene nanoelectromechanical (NEM) switches. Pull-in and pull-out characteristics are analyzed for graphene NEM switches with different dimensions and these are consistent with the experimental results. This numerical model is used to study the scaling nature of the graphene NEM switches. We show the possibility of achieving a pull-in voltage as low as 2 V for a 1.5-μm-long and 3-nm-thick nanocrystalline graphene beam NEM switch. In order to study the mechanical reliability of the graphene NEM switches, von Mises stress analysis is carried out. This analysis shows that a thinner graphene beam results in a lower von Mises stress. Moreover, a strong electrostatic force at the beam edges leads to a mechanical deflection at the edges larger than that around the center of the beam, which is consistent with the von Mises stress analysis. MDPI 2016-08-15 /pmc/articles/PMC6189816/ /pubmed/30404315 http://dx.doi.org/10.3390/mi7080143 Text en © 2016 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kulothungan, Jothiramalingam
Muruganathan, Manoharan
Mizuta, Hiroshi
3D Finite Element Simulation of Graphene Nano-Electro-Mechanical Switches
title 3D Finite Element Simulation of Graphene Nano-Electro-Mechanical Switches
title_full 3D Finite Element Simulation of Graphene Nano-Electro-Mechanical Switches
title_fullStr 3D Finite Element Simulation of Graphene Nano-Electro-Mechanical Switches
title_full_unstemmed 3D Finite Element Simulation of Graphene Nano-Electro-Mechanical Switches
title_short 3D Finite Element Simulation of Graphene Nano-Electro-Mechanical Switches
title_sort 3d finite element simulation of graphene nano-electro-mechanical switches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6189816/
https://www.ncbi.nlm.nih.gov/pubmed/30404315
http://dx.doi.org/10.3390/mi7080143
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