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通过表面涂层制备用于柔性热管理的液态金属嵌入石墨烯三维网络

3D Network of Liquid Metal-Embedded Graphene via Surface Coating for Flexible Thermal Management.

作者信息

Luo Wenmei, Wei Baojie, Luo Tianlin, Li Baowen, Zhu Guimei

机构信息

Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, P. R. China.

Department of Physics, Southern University of Science and Technology, Shenzhen, 518055, P. R. China.

出版信息

Small. 2024 Dec;20(50):e2406574. doi: 10.1002/smll.202406574. Epub 2024 Oct 3.

DOI:10.1002/smll.202406574
PMID:39363667
Abstract

The rapid growth of flexible electronics has led to significant demand for relevant accessories, particularly highly efficient flexible heat dissipators. The fluidity of liquid metal (LM) makes it a candidate for realizing flexible thermal interface materials (TIMs). However, it is still challenging to combine LM with a conductive thermal network to achieve the synchronous improvement of thermal conductivity and flexibility. In this work, highly conductive flexible LM@GN/ANF films are made by coating LM nano-droplets with graphene nanosheets (GN) via sonication, and then they are combined with aramid nanofibers (ANF). The LM@GN/ANF film is found to have a thermal conductivity of 5.67 W m K and a 24.5% reduction in Young's modulus, making it suitable for various flexible electronic applications such as wearable devices and biosensors.

摘要

柔性电子学的快速发展导致对相关配件的需求大增,尤其是高效的柔性散热器。液态金属(LM)的流动性使其成为实现柔性热界面材料(TIM)的候选材料。然而,将液态金属与导电热网络相结合以实现热导率和柔韧性的同步提升仍具有挑战性。在这项工作中,通过超声处理用石墨烯纳米片(GN)包覆液态金属纳米液滴,然后将它们与芳纶纳米纤维(ANF)结合,制备出了高导电柔性LM@GN/ANF薄膜。发现LM@GN/ANF薄膜的热导率为5.67 W m⁻¹ K⁻¹,杨氏模量降低了24.5%,使其适用于各种柔性电子应用,如可穿戴设备和生物传感器。

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