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Methods for numerical simulation of soft actively contractile materials
Soft materials that can demonstrate on demand reconfigurability and changing compliance are highly sought after as actuator materials in many fields such as soft robotics and biotechnology. Whilst there are numerous proof of concept materials and devices, rigorous predictive models of deformation ha...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293255/ https://www.ncbi.nlm.nih.gov/pubmed/37365212 http://dx.doi.org/10.1038/s41598-023-36465-x |
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author | Li, Yali Goulbourne, Nakhiah C. |
author_facet | Li, Yali Goulbourne, Nakhiah C. |
author_sort | Li, Yali |
collection | PubMed |
description | Soft materials that can demonstrate on demand reconfigurability and changing compliance are highly sought after as actuator materials in many fields such as soft robotics and biotechnology. Whilst there are numerous proof of concept materials and devices, rigorous predictive models of deformation have not been well-established or widely adopted. In this paper, we discuss programming complex three-dimensional deformations of a soft intrinsically anisotropic material by controlling the orientation of the contractile units and/or direction of the applied electric field. Programming is achieved by patterning contractile units and/or selectively activating spatial regions. A new constitutive model is derived to describe the soft intrinsic anisotropy of soft materials. The model is developed within a continuum mechanics framework using an invariant-based formulation. Computational implementation allows us to simulate the complex three-dimensional shape response when activated by electric field. Several examples of the achievable Gauss-curved surfaces are demonstrated. Our computational analysis introduces a mechanics-based framework for design when considering soft morphing materials with intrinsic anisotropy, and is meant to inspire the development of new soft active materials. |
format | Online Article Text |
id | pubmed-10293255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102932552023-06-28 Methods for numerical simulation of soft actively contractile materials Li, Yali Goulbourne, Nakhiah C. Sci Rep Article Soft materials that can demonstrate on demand reconfigurability and changing compliance are highly sought after as actuator materials in many fields such as soft robotics and biotechnology. Whilst there are numerous proof of concept materials and devices, rigorous predictive models of deformation have not been well-established or widely adopted. In this paper, we discuss programming complex three-dimensional deformations of a soft intrinsically anisotropic material by controlling the orientation of the contractile units and/or direction of the applied electric field. Programming is achieved by patterning contractile units and/or selectively activating spatial regions. A new constitutive model is derived to describe the soft intrinsic anisotropy of soft materials. The model is developed within a continuum mechanics framework using an invariant-based formulation. Computational implementation allows us to simulate the complex three-dimensional shape response when activated by electric field. Several examples of the achievable Gauss-curved surfaces are demonstrated. Our computational analysis introduces a mechanics-based framework for design when considering soft morphing materials with intrinsic anisotropy, and is meant to inspire the development of new soft active materials. Nature Publishing Group UK 2023-06-26 /pmc/articles/PMC10293255/ /pubmed/37365212 http://dx.doi.org/10.1038/s41598-023-36465-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Yali Goulbourne, Nakhiah C. Methods for numerical simulation of soft actively contractile materials |
title | Methods for numerical simulation of soft actively contractile materials |
title_full | Methods for numerical simulation of soft actively contractile materials |
title_fullStr | Methods for numerical simulation of soft actively contractile materials |
title_full_unstemmed | Methods for numerical simulation of soft actively contractile materials |
title_short | Methods for numerical simulation of soft actively contractile materials |
title_sort | methods for numerical simulation of soft actively contractile materials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10293255/ https://www.ncbi.nlm.nih.gov/pubmed/37365212 http://dx.doi.org/10.1038/s41598-023-36465-x |
work_keys_str_mv | AT liyali methodsfornumericalsimulationofsoftactivelycontractilematerials AT goulbournenakhiahc methodsfornumericalsimulationofsoftactivelycontractilematerials |