Digital coding of mechanical stress in a dynamic covalent shape memory polymer network

Guogao Zhang, Wenjun Peng, Jingjun Wu, Qian Zhao and Tao Xie ()
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Guogao Zhang: Zhejiang University
Wenjun Peng: Zhejiang University
Jingjun Wu: Zhejiang University
Qian Zhao: Zhejiang University
Tao Xie: Zhejiang University

Nature Communications, 2018, vol. 9, issue 1, 1-7

Abstract: Abstract 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.

Date: 2018
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DOI: 10.1038/s41467-018-06420-w

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