Issue 23, 2019

Fabrication of thermally conductive and electrically insulating polymer composites with isotropic thermal conductivity by constructing a three-dimensional interconnected network

Abstract

Efficient heat removal via thermal management materials has become one of the most critical challenges in the development of modern microelectronic devices. However, the conventional polymer-based thermally conductive composites with randomly distributed filler particles usually yield an undesired value because of the lack of efficient heat transfer pathways. Therefore, constructing a three-dimensional interconnected filler structure is greatly desirable for realizing high thermal conductivity enhancement in composites. Herein, graphene oxide (GO) was used as a thermally conductive filler due to its excellent thermal conductivity and coated with polydopamine (PDA) to enhance its electric insulation performance. A unique “particle-constructing” method was adopted for fabricating highly ordered three-dimensional GO-based polymer composites, throughout which the GO-PDA formed an intact, uniform and well-defined network structure. The composite, even with a very low GO-PDA loading of 0.96 vol%, exhibited both high in-plane (4.13 W m−1 K−1) and through-plane (4.56 W m−1 K−1) thermal conductivities and also presented excellent electrically insulating properties (>1014 Ω cm). These composites have promising applications in heat dissipation of next-generation portable and collapsible electronic devices.

Graphical abstract: Fabrication of thermally conductive and electrically insulating polymer composites with isotropic thermal conductivity by constructing a three-dimensional interconnected network

Article information

Article type
Paper
Submitted
22 Mar 2019
Accepted
11 May 2019
First published
13 May 2019

Nanoscale, 2019,11, 11360-11368

Fabrication of thermally conductive and electrically insulating polymer composites with isotropic thermal conductivity by constructing a three-dimensional interconnected network

H. Yuan, Y. Wang, T. Li, Y. Wang, P. Ma, H. Zhang, W. Yang, M. Chen and W. Dong, Nanoscale, 2019, 11, 11360 DOI: 10.1039/C9NR02491C

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