A robust optimised multi-material 3D inkjet printed elastic metamaterial
A robust optimised multi-material 3D inkjet printed elastic metamaterial
This paper presents and validates a novel elastic metamaterial design, that is optimised for broadband robust vibration control of a structure in the presence of uncertainties, and realised using multi-material additive manufacturing. A novel concept resonator design that allows the resonance frequency to be flexibly tuned via both geometrical and material property modifications is presented and characterised. A unit cell consisting of 12 of these resonators is then proposed. The resonance frequencies and damping ratios of this elastic metamaterial unit cell when attached to a parametrically uncertain example structure are then optimised using a Particle Swarm Optimisation to maximise the mean attenuation in kinetic energy of a structure with parametric uncertainties, based on an analytical model of the system. The performance of the optimised metamaterial is then validated experimentally, and it is shown that the realised metamaterial design is able to achieve a mean of 3.5 dB of broadband attenuation in the presence of uncertainties in the structure. In addition, in the presence of structural uncertainties the robustly optimised design achieves 0.5 dB greater mean attenuation than a design optimised on the nominal structural response alone, and reduced variation in attenuation for different levels of uncertainty.
Additive manufacturing, Metaheuristics, Metamaterial, Optimisation, Vibration
Singleton, Lawrence
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Cheer, Jordan
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Bastola, Anil
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Tuck, Christopher
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Daley, Steve
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15 January 2024
Singleton, Lawrence
f6f4a617-b532-4c75-a86d-ed52e4da2e48
Cheer, Jordan
8e452f50-4c7d-4d4e-913a-34015e99b9dc
Bastola, Anil
e6b14846-0303-4fb6-b766-b457a54e98f4
Tuck, Christopher
a26a30f1-eee2-42ef-93d8-dca6c0d6face
Daley, Steve
53cef7f1-77fa-4a4c-9745-b6a0ba4f42e6
Singleton, Lawrence, Cheer, Jordan, Bastola, Anil, Tuck, Christopher and Daley, Steve
(2024)
A robust optimised multi-material 3D inkjet printed elastic metamaterial.
Applied Acoustics, 216, [109796].
(doi:10.1016/j.apacoust.2023.109796).
Abstract
This paper presents and validates a novel elastic metamaterial design, that is optimised for broadband robust vibration control of a structure in the presence of uncertainties, and realised using multi-material additive manufacturing. A novel concept resonator design that allows the resonance frequency to be flexibly tuned via both geometrical and material property modifications is presented and characterised. A unit cell consisting of 12 of these resonators is then proposed. The resonance frequencies and damping ratios of this elastic metamaterial unit cell when attached to a parametrically uncertain example structure are then optimised using a Particle Swarm Optimisation to maximise the mean attenuation in kinetic energy of a structure with parametric uncertainties, based on an analytical model of the system. The performance of the optimised metamaterial is then validated experimentally, and it is shown that the realised metamaterial design is able to achieve a mean of 3.5 dB of broadband attenuation in the presence of uncertainties in the structure. In addition, in the presence of structural uncertainties the robustly optimised design achieves 0.5 dB greater mean attenuation than a design optimised on the nominal structural response alone, and reduced variation in attenuation for different levels of uncertainty.
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More information
Accepted/In Press date: 30 November 2023
e-pub ahead of print date: 8 December 2023
Published date: 15 January 2024
Additional Information:
Funding Information:
This research was partially supported by an EPRSC iCASE studentship (Voucher number 17100092 ) and the Intelligent Structures for Low Noise Environments (ISLNE) EPSRC Prosperity Partnership ( EP/S03661X/1 ).
Funding Information:
This research was partially supported by an EPRSC iCASE studentship (Voucher number 17100092) and the Intelligent Structures for Low Noise Environments (ISLNE) EPSRC Prosperity Partnership (EP/S03661X/1). The authors acknowledge the use of the IRIDIS High Performance Computing Facility, and associated support services at the University of Southampton, in the completion of this work.
Publisher Copyright:
© 2023 The Author(s)
Keywords:
Additive manufacturing, Metaheuristics, Metamaterial, Optimisation, Vibration
Identifiers
Local EPrints ID: 485610
URI: http://eprints.soton.ac.uk/id/eprint/485610
ISSN: 0003-682X
PURE UUID: d54d1354-dee8-480a-ade4-92b9668acbe1
Catalogue record
Date deposited: 12 Dec 2023 17:32
Last modified: 18 Mar 2024 03:17
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Contributors
Author:
Lawrence Singleton
Author:
Anil Bastola
Author:
Christopher Tuck
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