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Optimisation of nonlinear MEMS electrostatic kinetic energy harvesters to enable self-powered structural health monitoring

Optimisation of nonlinear MEMS electrostatic kinetic energy harvesters to enable self-powered structural health monitoring
Optimisation of nonlinear MEMS electrostatic kinetic energy harvesters to enable self-powered structural health monitoring
Condition monitoring of gearboxes, a key element of rotating machines, has previously been performed by analysing a shaft vibration data. This recorded vibration signal has distinct dominant frequencies that are stationary. The input signal with multiple dominant frequencies (including harmonics) could excite a kinetic nonlinear energy harvester and provide sufficient power for intelligent sensing. The nonlinear Electrostatic Kinetic Energy Harvesters (e-KEH) proposed in this paper could generate energy under low and high frequency excitation from shaft frequency and the harmonics, respectively. This paper reviews recent developments and challenges in designing MEMS e-KEH for Structural Health Monitoring (SHM), especially for gearboxes in aircraft engine. E-KEHs can have a silicon resonator, which is coupled with elastic silicon beams. Numerical predictive models of MEMS e-KEHs provide a tool to analyse the performance and efficiency of these harvesters. An analytical model of an impact-coupled e-KEH to predict the efficiency at low frequency excitation (under 200 Hz) and mechanical oscillation (under 3g) is presented.
Zaghari, Bahareh
c4254c62-5270-4fb9-ad50-1ba2c1996b95
Cottone, Francessco
1f4e2d99-27aa-4241-91d3-32e6fdb5ad20
Weddell, Alexander
3d8c4d63-19b1-4072-a779-84d487fd6f03
Basset, Philippe
718ae6a5-a5b7-4908-b65c-b559f567ec68
Lu, Yingxian
34245eba-ea94-4241-97e7-9c4689c99081
Beeby, Stephen
ba565001-2812-4300-89f1-fe5a437ecb0d
Zaghari, Bahareh
c4254c62-5270-4fb9-ad50-1ba2c1996b95
Cottone, Francessco
1f4e2d99-27aa-4241-91d3-32e6fdb5ad20
Weddell, Alexander
3d8c4d63-19b1-4072-a779-84d487fd6f03
Basset, Philippe
718ae6a5-a5b7-4908-b65c-b559f567ec68
Lu, Yingxian
34245eba-ea94-4241-97e7-9c4689c99081
Beeby, Stephen
ba565001-2812-4300-89f1-fe5a437ecb0d

Zaghari, Bahareh, Cottone, Francessco, Weddell, Alexander, Basset, Philippe, Lu, Yingxian and Beeby, Stephen (2020) Optimisation of nonlinear MEMS electrostatic kinetic energy harvesters to enable self-powered structural health monitoring. In 10th European Workshop on Structural Health Monitoring (EWSHM 2020).

Record type: Conference or Workshop Item (Paper)

Abstract

Condition monitoring of gearboxes, a key element of rotating machines, has previously been performed by analysing a shaft vibration data. This recorded vibration signal has distinct dominant frequencies that are stationary. The input signal with multiple dominant frequencies (including harmonics) could excite a kinetic nonlinear energy harvester and provide sufficient power for intelligent sensing. The nonlinear Electrostatic Kinetic Energy Harvesters (e-KEH) proposed in this paper could generate energy under low and high frequency excitation from shaft frequency and the harmonics, respectively. This paper reviews recent developments and challenges in designing MEMS e-KEH for Structural Health Monitoring (SHM), especially for gearboxes in aircraft engine. E-KEHs can have a silicon resonator, which is coupled with elastic silicon beams. Numerical predictive models of MEMS e-KEHs provide a tool to analyse the performance and efficiency of these harvesters. An analytical model of an impact-coupled e-KEH to predict the efficiency at low frequency excitation (under 200 Hz) and mechanical oscillation (under 3g) is presented.

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More information

Published date: 2020

Identifiers

Local EPrints ID: 437510
URI: http://eprints.soton.ac.uk/id/eprint/437510
PURE UUID: ac0b9061-59fd-4252-a50f-445768ee50c8
ORCID for Alexander Weddell: ORCID iD orcid.org/0000-0002-6763-5460
ORCID for Stephen Beeby: ORCID iD orcid.org/0000-0002-0800-1759

Catalogue record

Date deposited: 03 Feb 2020 17:30
Last modified: 13 Dec 2021 02:57

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Contributors

Author: Bahareh Zaghari
Author: Francessco Cottone
Author: Alexander Weddell ORCID iD
Author: Philippe Basset
Author: Yingxian Lu
Author: Stephen Beeby ORCID iD

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