Theory and modeling of a novel class of nanoplate-based mass sensors with corner point supports

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Author(s)

  • Chenghui Xu
  • Jianlong Qu
  • Dalun Rong
  • Zhenhuan Zhou
  • A.Y.T. Leung

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number107306
Journal / PublicationThin-Walled Structures
Volume159
Online published14 Dec 2020
Publication statusPublished - Feb 2021

Link(s)

DOI

DOI
Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-85097650314&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(2c611b04-16c4-4551-a94b-55d2b871037b).html

Abstract

A novel class of nanoplate-based mass sensor with corner point supports for detecting attached nanoparticles is proposed. Exact solutions for vibrations of three types of nanoscale mass sensors are obtained by a symplectic superposition method combining with nonlocal elasticity theory. A comparison between theoretical prediction and FEM simulation is presented and excellent agreement is reported. Influences of design parameters on the frequency shift are investigated. Numerical results show that increasing magnetic field strength and environment temperature can effectively enhance the sensitivity of the mass sensor, and the nanoplate-based sensor point-supported at only one corner is the optimal design.

Research Area(s)

  • Exact solution, Free vibration, Nanoplate-based mass sensor, Symplectic method

Fingerprint

Publication fingerprints text

100
Novel Class Keyphrases
100
Mass Sensor Keyphrases
100
Nanoplates Keyphrases
100
Corner Support Keyphrases
100
Sensor Engineering
100
Point Support Engineering
100
Corner Point Engineering
100
Mathematical Model Engineering
100
modeling INIS
100
sensors INIS
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Citation Format(s)

[ RIS ] [ BibTeX ]
Theory and modeling of a novel class of nanoplate-based mass sensors with corner point supports. / Xu, Chenghui; Qu, Jianlong; Rong, Dalun et al.
In: Thin-Walled Structures, Vol. 159, 107306, 02.2021.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review