Acceleration sensing based on graphene resonator

Wenbin Jie; Feng Hu; Xingshu Wang; Shiqiao Qin

doi:10.1117/12.2257413

28 February 2017 Acceleration sensing based on graphene resonator

Wenbin Jie, Feng Hu, Xingshu Wang, Shiqiao Qin

Proceedings Volume 10256, Second International Conference on Photonics and Optical Engineering; 102562E (2017) https://doi.org/10.1117/12.2257413
Event: Second International Conference on Photonics and Optical Engineering, 2016, Xi'an, China

Abstract

This paper is concerned with the acceleration sensing based on graphene resonator using finite-element software COMSOL Multiphysics. Based on the ordinary graphene resonator structure, a proof mass is attached to the surface of graphene sheet in order to sense acceleration and force more effectively. The rectangle-shaped gold proof mass is positioned at the center of the graphene sheet. Through COMSOL Multiphysics, the simulations about how the graphene sheet and mass’ dimension affect resonance frequency were performed and proper size parameters for the graphene resonator were chosen. By adopting these parameters, the analysis about the resonance frequency’s change responding to the acceleration or working force was carried out, which lays a foundation for further research of graphene resonator for acceleration sensing.

Citation Download Citation

Wenbin Jie, Feng Hu, Xingshu Wang, and Shiqiao Qin "Acceleration sensing based on graphene resonator", Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 102562E (28 February 2017); https://doi.org/10.1117/12.2257413

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available