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Digital coding of mechanical stress in a dynamic covalent shape memory polymer network
Controlling stresses in materials presents many unusual opportunities for their engineering applications. The potential for current approaches is severely limited by the intrinsic tie between the stress and the geometric shape. Here, we report a material concept that allows stress management in a hi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167378/ https://www.ncbi.nlm.nih.gov/pubmed/30275498 http://dx.doi.org/10.1038/s41467-018-06420-w |
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author | Zhang, Guogao Peng, Wenjun Wu, Jingjun Zhao, Qian Xie, Tao |
author_facet | Zhang, Guogao Peng, Wenjun Wu, Jingjun Zhao, Qian Xie, Tao |
author_sort | Zhang, Guogao |
collection | PubMed |
description | Controlling stresses in materials presents many unusual opportunities for their engineering applications. The potential for current approaches is severely limited by the intrinsic tie between the stress and the geometric shape. Here, we report a material concept that allows stress management in a highly efficient digital manner while decoupling the stress and the geometric shape. This is realized in a dynamic covalent shape memory polymer network, for which the elastic shape memory sets the baseline stress level and maintains the geometric shape while the plasticity enabled by the dynamic bond exchange allows stress tuning. With a digital gray scale photothermal mechanism, any arbitrarily defined stress distribution can be created in a free-standing polymer film. The naturally invisible stresses can be further visualized as mechanical colors under polarized light, revealing its potential for encoding hidden information. Our approach expands the technological potential in many areas for which stresses are relevant. |
format | Online Article Text |
id | pubmed-6167378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61673782018-10-03 Digital coding of mechanical stress in a dynamic covalent shape memory polymer network Zhang, Guogao Peng, Wenjun Wu, Jingjun Zhao, Qian Xie, Tao Nat Commun Article Controlling stresses in materials presents many unusual opportunities for their engineering applications. The potential for current approaches is severely limited by the intrinsic tie between the stress and the geometric shape. Here, we report a material concept that allows stress management in a highly efficient digital manner while decoupling the stress and the geometric shape. This is realized in a dynamic covalent shape memory polymer network, for which the elastic shape memory sets the baseline stress level and maintains the geometric shape while the plasticity enabled by the dynamic bond exchange allows stress tuning. With a digital gray scale photothermal mechanism, any arbitrarily defined stress distribution can be created in a free-standing polymer film. The naturally invisible stresses can be further visualized as mechanical colors under polarized light, revealing its potential for encoding hidden information. Our approach expands the technological potential in many areas for which stresses are relevant. Nature Publishing Group UK 2018-10-01 /pmc/articles/PMC6167378/ /pubmed/30275498 http://dx.doi.org/10.1038/s41467-018-06420-w Text en © The Author(s) 2018 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 Zhang, Guogao Peng, Wenjun Wu, Jingjun Zhao, Qian Xie, Tao Digital coding of mechanical stress in a dynamic covalent shape memory polymer network |
title | Digital coding of mechanical stress in a dynamic covalent shape memory polymer network |
title_full | Digital coding of mechanical stress in a dynamic covalent shape memory polymer network |
title_fullStr | Digital coding of mechanical stress in a dynamic covalent shape memory polymer network |
title_full_unstemmed | Digital coding of mechanical stress in a dynamic covalent shape memory polymer network |
title_short | Digital coding of mechanical stress in a dynamic covalent shape memory polymer network |
title_sort | digital coding of mechanical stress in a dynamic covalent shape memory polymer network |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167378/ https://www.ncbi.nlm.nih.gov/pubmed/30275498 http://dx.doi.org/10.1038/s41467-018-06420-w |
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