Literature DB >> 31264666

Graphene foam-embedded epoxy composites with significant thermal conductivity enhancement.

Zhiduo Liu1, Yapeng Chen, Yifan Li, Wen Dai, Qingwei Yan, Fakhr E Alam, Shiyu Du, Zhongwei Wang, Kazuhito Nishimura, Nan Jiang, Cheng-Te Lin, Jinhong Yu.   

Abstract

High thermal conductivity polymer composites at low filler loading are of considerable interest because of their wide range of applications. The construction of three-dimensional (3D) interconnected networks can offer a high-efficiency increase for the thermal conductivity of polymer composites. In this work, a facile and scalable method to prepare graphene foam (GF) via sacrificial commercial polyurethane (PU) sponge templates was developed. Highly thermally conductive composites were then prepared by impregnating epoxy resin into the GF structure. An ultrahigh thermal conductivity of 8.04 W m-1 K-1 was obtained at a low graphene loading of 6.8 wt%, which corresponds to a thermal conductivity enhancement of about 4473% compared to neat epoxy. This strategy provides a facile, low-cost and scalable method to construct a 3D filler network for high-performance composites with potential to be used in advanced electronic packaging.

Entities:  

Year:  2019        PMID: 31264666     DOI: 10.1039/c9nr03968f

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  2 in total

Review 1.  Efficient Preconstruction of Three-Dimensional Graphene Networks for Thermally Conductive Polymer Composites.

Authors:  Hao-Yu Zhao; Ming-Yuan Yu; Ji Liu; Xiaofeng Li; Peng Min; Zhong-Zhen Yu
Journal:  Nanomicro Lett       Date:  2022-06-14

2.  Hypergravity-Induced Accumulation: A New, Efficient, and Simple Strategy to Improve the Thermal Conductivity of Boron Nitride Filled Polymer Composites.

Authors:  Kangkang Yu; Tao Yuan; Songdi Zhang; Chenlu Bao
Journal:  Polymers (Basel)       Date:  2021-01-31       Impact factor: 4.329

  2 in total

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