Journal article 563 views 38 downloads
Programming shape-morphing electroactive polymers through multi-material topology optimisation
Applied Mathematical Modelling, Volume: 118, Pages: 346 - 369
Swansea University Author: Antonio Gil
-
PDF | Accepted Manuscript
©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)
Download (25.83MB)
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 |
---|---|
ISSN: | 0307-904X |
Published: |
Elsevier BV
2023
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa62475 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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 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. |
---|---|
Keywords: |
Multi-material; Topology Optimisation; Dielectric Elastomer; Finite Elements; Phase-Field |
College: |
Faculty of Science and Engineering |
Funders: |
European Training Network Protection (Project ID: 764636) and of the UK Defence, Science and Technology Laboratory. |
Start Page: |
346 |
End Page: |
369 |