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A multi-sensing scheme based on nonlinear coupled micromachined resonators

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posted on 2023-04-17, 07:56 authored by Zhengliang FangZhengliang Fang, Stephanos TheodossiadesStephanos Theodossiades, Laura Ruzziconi, Amal HajjajAmal Hajjaj

A new multi-sensing scheme via nonlinear weakly coupled resonators is introduced in this paper, which can simultaneously detect two different physical stimuli by monitoring the dynamic response around the first two lowest modes. The system consists of a mechanically coupled bridge resonator and cantilever resonator. The eigenvalue problem is solved to identify the right geometry for the resonators to optimize their resonance frequencies based on mode-localization in order to provide outstanding sensitivity. A nonlinear equivalent model is developed using the Euler-Bernoulli beam theory while accounting for the geometric and electrostatic nonlinearities. The sensor's dynamics are explored using a reduced-order model based on two-modes Galerkin discretization, which reveals the richness of the response. To demonstrate the proposed sensing scheme, the dynamic response of the weakly coupled resonator is investigated by tuning the stiffness and mass of the bridge and cantilever resonators, respectively. With its simple and scalable design, the proposed system shows great potential for intelligent multi-sensing detection in many applications.

Funding

EPSRC Transforming Foundation Industries Network+, UK (R/167260)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Nonlinear Dynamics

Volume

111

Issue

9

Pages

8021-8038

Publisher

Springer

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Acceptance date

2023-01-21

Publication date

2023-02-10

Copyright date

2023

ISSN

0924-090X

eISSN

1573-269X

Language

  • en

Depositor

Dr Amal Hajjej Ep Zemni. Deposit date: 30 January 2023

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