The University of Southampton
University of Southampton Institutional Repository

A sensor for stiffness change sensing based on three weakly coupled resonators with enhanced sensitivity

A sensor for stiffness change sensing based on three weakly coupled resonators with enhanced sensitivity
A sensor for stiffness change sensing based on three weakly coupled resonators with enhanced sensitivity
This paper reports on a novel MEMS resonant sensing device consisting of three weakly coupled resonators that can achieve an order of magnitude improvement in sensitivity to stiffness change, compared to current state-of-the-art resonator sensors with similar size and resonant frequency. In a 3 degree-of-freedom (DoF) system, if an external stimulus causes change in the spring stiffness of one resonator, mode localization occurs, leading to a drastic change of mode shape, which can be detected by measuring the modal amplitude ratio change. A 49 times improvement in sensitivity compared to a previously reported 2DoF resonator sensor, and 4 orders of magnitude enhancement compared to a 1DoF resonator sensor has been achieved.
Zhao, Chun
00e81968-02a9-4b1c-8b63-97aa9fbfd4e9
Wood, Graham S.
61de1458-e7f5-4712-925a-a95bb44580ee
Xie, Jianbing
130942fa-d891-40d0-bcb7-5dc548c56310
Chang, Honglong
5e79fc38-b84c-4e7b-aabe-dae9815cf324
Pu, Suan-Hui
8b46b970-56fd-4a4e-8688-28668f648f43
Chong, Harold M.H.
795aa67f-29e5-480f-b1bc-9bd5c0d558e1
Kraft, Michael
54927621-738f-4d40-af56-a027f686b59f
Zhao, Chun
00e81968-02a9-4b1c-8b63-97aa9fbfd4e9
Wood, Graham S.
61de1458-e7f5-4712-925a-a95bb44580ee
Xie, Jianbing
130942fa-d891-40d0-bcb7-5dc548c56310
Chang, Honglong
5e79fc38-b84c-4e7b-aabe-dae9815cf324
Pu, Suan-Hui
8b46b970-56fd-4a4e-8688-28668f648f43
Chong, Harold M.H.
795aa67f-29e5-480f-b1bc-9bd5c0d558e1
Kraft, Michael
54927621-738f-4d40-af56-a027f686b59f

Zhao, Chun, Wood, Graham S., Xie, Jianbing, Chang, Honglong, Pu, Suan-Hui, Chong, Harold M.H. and Kraft, Michael (2015) A sensor for stiffness change sensing based on three weakly coupled resonators with enhanced sensitivity. 28th IEEE MEMS Conference, Estoril, Portugal. 18 - 22 Jan 2015. 5 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper reports on a novel MEMS resonant sensing device consisting of three weakly coupled resonators that can achieve an order of magnitude improvement in sensitivity to stiffness change, compared to current state-of-the-art resonator sensors with similar size and resonant frequency. In a 3 degree-of-freedom (DoF) system, if an external stimulus causes change in the spring stiffness of one resonator, mode localization occurs, leading to a drastic change of mode shape, which can be detected by measuring the modal amplitude ratio change. A 49 times improvement in sensitivity compared to a previously reported 2DoF resonator sensor, and 4 orders of magnitude enhancement compared to a 1DoF resonator sensor has been achieved.

Text
MEMS15Manuscript.pdf - Accepted Manuscript
Download (914kB)

More information

Published date: January 2015
Venue - Dates: 28th IEEE MEMS Conference, Estoril, Portugal, 2015-01-18 - 2015-01-22
Organisations: Nanoelectronics and Nanotechnology, Engineering Science Unit

Identifiers

Local EPrints ID: 371920
URI: http://eprints.soton.ac.uk/id/eprint/371920
PURE UUID: 43dafdb8-5209-4e6e-86d2-7b2dbc0cbcd6
ORCID for Suan-Hui Pu: ORCID iD orcid.org/0000-0002-3335-8880
ORCID for Harold M.H. Chong: ORCID iD orcid.org/0000-0002-7110-5761

Catalogue record

Date deposited: 24 Nov 2014 13:19
Last modified: 15 Mar 2024 04:02

Export record

Contributors

Author: Chun Zhao
Author: Graham S. Wood
Author: Jianbing Xie
Author: Honglong Chang
Author: Suan-Hui Pu ORCID iD
Author: Harold M.H. Chong ORCID iD
Author: Michael Kraft

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×