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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...

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Detalles Bibliográficos
Autores principales: Zhang, Guogao, Peng, Wenjun, Wu, Jingjun, Zhao, Qian, Xie, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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.
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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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