材料科学
复合数
形状记忆聚合物
石墨烯
复合材料
热导率
形状记忆合金
焦耳加热
聚合物
电阻率和电导率
智能材料
变形(气象学)
聚氨酯
极限抗拉强度
变形
纳米技术
计算机科学
电气工程
工程类
计算机视觉
作者
Yucheng Zhou,Jianxin Zhou,Jiasheng Rong,Cong Hu
出处
期刊:Micromachines
[Multidisciplinary Digital Publishing Institute]
日期:2022-09-24
卷期号:13 (10): 1589-1589
被引量:11
摘要
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.
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