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3D printable tough silicone double networks
Additive manufacturing permits innovative soft device architectures with micron resolution. The processing requirements, however, restrict the available materials, and joining chemically dissimilar components remains a challenge. Here we report silicone double networks (SilDNs) that participate in o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417997/ https://www.ncbi.nlm.nih.gov/pubmed/32778657 http://dx.doi.org/10.1038/s41467-020-17816-y |
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author | Wallin, Thomas J. Simonsen, Leif-Erik Pan, Wenyang Wang, Kaiyang Giannelis, Emmanuel Shepherd, Robert F. Mengüç, Yiğit |
author_facet | Wallin, Thomas J. Simonsen, Leif-Erik Pan, Wenyang Wang, Kaiyang Giannelis, Emmanuel Shepherd, Robert F. Mengüç, Yiğit |
author_sort | Wallin, Thomas J. |
collection | PubMed |
description | Additive manufacturing permits innovative soft device architectures with micron resolution. The processing requirements, however, restrict the available materials, and joining chemically dissimilar components remains a challenge. Here we report silicone double networks (SilDNs) that participate in orthogonal crosslinking mechanisms—photocurable thiol-ene reactions and condensation reactions—to exercise independent control over both the shape forming process (3D printing) and final mechanical properties. SilDNs simultaneously possess low elastic modulus (E(100%) < 700kPa) as well as large ultimate strains (dL/L(0) up to ~ 400 %), toughnesses (U ~ 1.4 MJ·m(−3)), and strengths (σ ~ 1 MPa). Importantly, the latent condensation reaction permits cohesive bonding of printed objects to dissimilar substrates with modulus gradients that span more than seven orders of magnitude. We demonstrate soft devices relevant to a broad range of disciplines: models that simulate the geometries and mechanical properties of soft tissue systems and multimaterial assemblies for next generation wearable devices and robotics. |
format | Online Article Text |
id | pubmed-7417997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74179972020-08-17 3D printable tough silicone double networks Wallin, Thomas J. Simonsen, Leif-Erik Pan, Wenyang Wang, Kaiyang Giannelis, Emmanuel Shepherd, Robert F. Mengüç, Yiğit Nat Commun Article Additive manufacturing permits innovative soft device architectures with micron resolution. The processing requirements, however, restrict the available materials, and joining chemically dissimilar components remains a challenge. Here we report silicone double networks (SilDNs) that participate in orthogonal crosslinking mechanisms—photocurable thiol-ene reactions and condensation reactions—to exercise independent control over both the shape forming process (3D printing) and final mechanical properties. SilDNs simultaneously possess low elastic modulus (E(100%) < 700kPa) as well as large ultimate strains (dL/L(0) up to ~ 400 %), toughnesses (U ~ 1.4 MJ·m(−3)), and strengths (σ ~ 1 MPa). Importantly, the latent condensation reaction permits cohesive bonding of printed objects to dissimilar substrates with modulus gradients that span more than seven orders of magnitude. We demonstrate soft devices relevant to a broad range of disciplines: models that simulate the geometries and mechanical properties of soft tissue systems and multimaterial assemblies for next generation wearable devices and robotics. Nature Publishing Group UK 2020-08-10 /pmc/articles/PMC7417997/ /pubmed/32778657 http://dx.doi.org/10.1038/s41467-020-17816-y Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Wallin, Thomas J. Simonsen, Leif-Erik Pan, Wenyang Wang, Kaiyang Giannelis, Emmanuel Shepherd, Robert F. Mengüç, Yiğit 3D printable tough silicone double networks |
title | 3D printable tough silicone double networks |
title_full | 3D printable tough silicone double networks |
title_fullStr | 3D printable tough silicone double networks |
title_full_unstemmed | 3D printable tough silicone double networks |
title_short | 3D printable tough silicone double networks |
title_sort | 3d printable tough silicone double networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417997/ https://www.ncbi.nlm.nih.gov/pubmed/32778657 http://dx.doi.org/10.1038/s41467-020-17816-y |
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