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一种具有嵌入式三维互连石墨烯泡沫的快速响应电激活形状记忆聚合物复合材料。

A Fast-Responding Electro-Activated Shape Memory Polymer Composite with Embedded 3D Interconnected Graphene Foam.

作者信息

Zhou Yucheng, Zhou Jianxin, Rong Jiasheng, Hu Cong

机构信息

State Key Laboratory of Mechanics and Control of Mechanical Structures, Key Laboratory for Intelligent Nano Materials and Devices of Ministry of Education, Institute of Nanoscience and College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

出版信息

Micromachines (Basel). 2022 Sep 24;13(10):1589. doi: 10.3390/mi13101589.

DOI:10.3390/mi13101589
PMID:36295941
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9609464/
Abstract

Shape memory polymers (SMPs) have gained increasing attention as intelligent morphing materials. However, due to the inherent electrical insulation and poor thermal conductivity of polymers, deformation and temperature control of SMPs usually require external heating devices, bringing about design inconveniences and fragility of interfaces. Herein, we report a shape memory composite that integrates reliable temperature and shape control functions into the interior. The composite is comprised of resin-based SMP and three-dimensional interconnected graphene foam (3DGF), exhibiting a high recovery rate and thermal/electrical conductivity. With only 0.26 wt% of graphene foam, the composite can improve electrical conductivity by 15 orders of magnitude, thermal conductivity by 180%, tensile strength by 64.8%, and shape recovery speed by 154%. Using a very simple Joule heating scheme, decimeter-sized samples of the composite deformed to their preset shapes in less than 10 s.

摘要

形状记忆聚合物(SMPs)作为智能变形材料越来越受到关注。然而,由于聚合物固有的电绝缘性和较差的热导率,SMPs的变形和温度控制通常需要外部加热装置,这带来了设计上的不便和界面的脆弱性。在此,我们报道了一种将可靠的温度和形状控制功能集成到内部的形状记忆复合材料。该复合材料由树脂基SMP和三维互连石墨烯泡沫(3DGF)组成,具有高回复率和热/电导率。仅含0.26 wt%的石墨烯泡沫,该复合材料就能将电导率提高15个数量级,热导率提高180%,拉伸强度提高64.8%,形状回复速度提高154%。采用非常简单的焦耳加热方案,分米大小的复合材料样品能在不到10秒的时间内变形为预设形状。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/712959739bca/micromachines-13-01589-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/98de2392a031/micromachines-13-01589-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/41deec3561d1/micromachines-13-01589-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/ab37e5fd992d/micromachines-13-01589-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/2d0fcf43c3c2/micromachines-13-01589-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/cb12da03e53f/micromachines-13-01589-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/712959739bca/micromachines-13-01589-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/98de2392a031/micromachines-13-01589-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/41deec3561d1/micromachines-13-01589-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/ab37e5fd992d/micromachines-13-01589-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/2d0fcf43c3c2/micromachines-13-01589-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/cb12da03e53f/micromachines-13-01589-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe70/9609464/712959739bca/micromachines-13-01589-g006.jpg

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