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Programming shape-morphing electroactive polymers through multi-material topology optimisation
Applied Mathematical Modelling, Volume: 118, Pages: 346 - 369
Swansea University Author: Antonio Gil
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DOI (Published version): 10.1016/j.apm.2023.01.041
Abstract
This paper presents a novel engineering strategy for the design of Dielectric Elastomer (DE) based actuators,capable of attaining complex electrically induced shape morphing configurations. In this approach, a multilayeredDE prototype, interleaved with compliant electrodes spreading across the entir...
Published in: | Applied Mathematical Modelling |
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ISSN: | 0307-904X |
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2023
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In this approach, a multilayeredDE prototype, interleaved with compliant electrodes spreading across the entire faces of the DE, is considered.Careful combination of several DE materials, characterised by different material properties within each of themultiple layers of the device, is pursued. The resulting layout permits the generation of a heterogenous electricfield within the device due to the spatial variation of the material properties within the layers and across them. Anin-silico or computational approach has been developed in order to facilitate the design of new prototypes capableof displaying predefined electrically induced target configurations. Key features of this framework are: (i) use ofa standard two-field Finite Element implementation of the underlying partial differential equations in reversiblenonlinear electromechanics, where the unknown fields ot the resulting discrete problem are displacements andthe scalar electric potential; (ii) introduction of a novel phase-field driven multi-material topology optimisationframework allowing for the consideration of several DE materials with different material properties, favouring thedevelopment of heterogeneous electric fields within the prototype. This novel multi-material framework permits, forthe first time, the consideration of an arbitrary number of differentNDE materials, by means of the introductionofN−1 phase-field functions, evolving independently over the different layers across the thickness of the devicethroughN−1 Allen-Cahn type evolution equations per layer. A comprehensive series of numerical examplesis analysed, with the aim of exploring the capability of the proposed methodology to propose efficient optimaldesigns. 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v2 62475 2023-01-31 Programming shape-morphing electroactive polymers through multi-material topology optimisation 1f5666865d1c6de9469f8b7d0d6d30e2 0000-0001-7753-1414 Antonio Gil Antonio Gil true false 2023-01-31 ACEM This paper presents a novel engineering strategy for the design of Dielectric Elastomer (DE) based actuators,capable of attaining complex electrically induced shape morphing configurations. In this approach, a multilayeredDE prototype, interleaved with compliant electrodes spreading across the entire faces of the DE, is considered.Careful combination of several DE materials, characterised by different material properties within each of themultiple layers of the device, is pursued. The resulting layout permits the generation of a heterogenous electricfield within the device due to the spatial variation of the material properties within the layers and across them. Anin-silico or computational approach has been developed in order to facilitate the design of new prototypes capableof displaying predefined electrically induced target configurations. Key features of this framework are: (i) use ofa standard two-field Finite Element implementation of the underlying partial differential equations in reversiblenonlinear electromechanics, where the unknown fields ot the resulting discrete problem are displacements andthe scalar electric potential; (ii) introduction of a novel phase-field driven multi-material topology optimisationframework allowing for the consideration of several DE materials with different material properties, favouring thedevelopment of heterogeneous electric fields within the prototype. This novel multi-material framework permits, forthe first time, the consideration of an arbitrary number of differentNDE materials, by means of the introductionofN−1 phase-field functions, evolving independently over the different layers across the thickness of the devicethroughN−1 Allen-Cahn type evolution equations per layer. A comprehensive series of numerical examplesis analysed, with the aim of exploring the capability of the proposed methodology to propose efficient optimaldesigns. Specifically, the topology optimisation algorithm determines the topology of regions where different DEmaterials must be conveniently placed in order to attain complex electrically induced configurations. Journal Article Applied Mathematical Modelling 118 346 369 Elsevier BV 0307-904X Multi-material; Topology Optimisation; Dielectric Elastomer; Finite Elements; Phase-Field 1 6 2023 2023-06-01 10.1016/j.apm.2023.01.041 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University European Training Network Protection (Project ID: 764636) and of the UK Defence, Science and Technology Laboratory. 2024-07-29T13:22:34.3519970 2023-01-31T10:33:16.8616879 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Rogelio Ortigosa 0000-0002-4542-2237 1 Jesús Martínez-Frutos 2 Antonio Gil 0000-0001-7753-1414 3 62475__26441__f627ab337077407cac5d78245e1efa93.pdf 62475.pdf 2023-01-31T10:40:21.0916206 Output 27089686 application/pdf Accepted Manuscript true 2024-02-01T00:00:00.0000000 ©2023 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
Programming shape-morphing electroactive polymers through multi-material topology optimisation |
spellingShingle |
Programming shape-morphing electroactive polymers through multi-material topology optimisation Antonio Gil |
title_short |
Programming shape-morphing electroactive polymers through multi-material topology optimisation |
title_full |
Programming shape-morphing electroactive polymers through multi-material topology optimisation |
title_fullStr |
Programming shape-morphing electroactive polymers through multi-material topology optimisation |
title_full_unstemmed |
Programming shape-morphing electroactive polymers through multi-material topology optimisation |
title_sort |
Programming shape-morphing electroactive polymers through multi-material topology optimisation |
author_id_str_mv |
1f5666865d1c6de9469f8b7d0d6d30e2 |
author_id_fullname_str_mv |
1f5666865d1c6de9469f8b7d0d6d30e2_***_Antonio Gil |
author |
Antonio Gil |
author2 |
Rogelio Ortigosa Jesús Martínez-Frutos Antonio Gil |
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Journal article |
container_title |
Applied Mathematical Modelling |
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118 |
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346 |
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2023 |
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Swansea University |
issn |
0307-904X |
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10.1016/j.apm.2023.01.041 |
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Elsevier BV |
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Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
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description |
This paper presents a novel engineering strategy for the design of Dielectric Elastomer (DE) based actuators,capable of attaining complex electrically induced shape morphing configurations. In this approach, a multilayeredDE prototype, interleaved with compliant electrodes spreading across the entire faces of the DE, is considered.Careful combination of several DE materials, characterised by different material properties within each of themultiple layers of the device, is pursued. The resulting layout permits the generation of a heterogenous electricfield within the device due to the spatial variation of the material properties within the layers and across them. Anin-silico or computational approach has been developed in order to facilitate the design of new prototypes capableof displaying predefined electrically induced target configurations. Key features of this framework are: (i) use ofa standard two-field Finite Element implementation of the underlying partial differential equations in reversiblenonlinear electromechanics, where the unknown fields ot the resulting discrete problem are displacements andthe scalar electric potential; (ii) introduction of a novel phase-field driven multi-material topology optimisationframework allowing for the consideration of several DE materials with different material properties, favouring thedevelopment of heterogeneous electric fields within the prototype. This novel multi-material framework permits, forthe first time, the consideration of an arbitrary number of differentNDE materials, by means of the introductionofN−1 phase-field functions, evolving independently over the different layers across the thickness of the devicethroughN−1 Allen-Cahn type evolution equations per layer. A comprehensive series of numerical examplesis analysed, with the aim of exploring the capability of the proposed methodology to propose efficient optimaldesigns. Specifically, the topology optimisation algorithm determines the topology of regions where different DEmaterials must be conveniently placed in order to attain complex electrically induced configurations. |
published_date |
2023-06-01T13:22:33Z |
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1805916048663248896 |
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11.037144 |