Literature DB >> 30856289

Synergistic Effect of Aligned Graphene Nanosheets in Graphene Foam for High-Performance Thermally Conductive Composites.

Zhaohong Wu1,2, Chuan Xu1, Chaoqun Ma1, Zhibo Liu1, Hui-Ming Cheng1,2,3, Wencai Ren1,2.   

Abstract

Graphene shows a great potential for high-performance thermally conductive composite applications because of its extremely high thermal conductivity. However, the graphene-based polymer composites reported so far only have a limited thermal conductivity, with the highest thermal conductivity enhancement (TCE) per 1 vol% graphene less than 900%. Here, a continuous network of graphene foam (GF), filled with aligned graphene nanosheets (GNs), is shown to be an ideal filler structure for thermally conductive composite materials. Compared to previous reports, a clear thermal percolation is observed at a low graphene loading fraction. The GNs/GF/natural rubber composite shows the highest TCE of 8100% (6.2 vol% graphene loading) ever reported at room temperature, which gives a record-high TCE per 1 vol% graphene of 1300%. Further analyses reveal a significant synergistic effect between the aligned GNs and 3D interconnected GF, which plays a key role in the formation of a thermal percolation network to remarkably improve the thermal conductivity of the composites. Additionally, the use of this composite for efficient heat dissipation of light-emitting diode (LED) lamps is demonstrated. These findings provide valuable guidance to design high-performance graphene-based thermally conductive materials, and open up the possibility for the use of graphene in high-power electronic devices.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  composites; graphene foam; graphene nanosheets; synergistic effect; thermal conductivity

Year:  2019        PMID: 30856289     DOI: 10.1002/adma.201900199

Source DB:  PubMed          Journal:  Adv Mater        ISSN: 0935-9648            Impact factor:   30.849


  6 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.  Microstructure evolution and texture tailoring of reduced graphene oxide reinforced Zn scaffold.

Authors:  Youwen Yang; Yun Cheng; Shuping Peng; Liang Xu; Chongxian He; Fangwei Qi; Mingchun Zhao; Cijun Shuai
Journal:  Bioact Mater       Date:  2020-11-07

3.  Multiscale Structural Modulation of Anisotropic Graphene Framework for Polymer Composites Achieving Highly Efficient Thermal Energy Management.

Authors:  Wen Dai; Le Lv; Tengfei Ma; Xiangze Wang; Junfeng Ying; Qingwei Yan; Xue Tan; Jingyao Gao; Chen Xue; Jinhong Yu; Yagang Yao; Qiuping Wei; Rong Sun; Yan Wang; Te-Huan Liu; Tao Chen; Rong Xiang; Nan Jiang; Qunji Xue; Ching-Ping Wong; Shigeo Maruyama; Cheng-Te Lin
Journal:  Adv Sci (Weinh)       Date:  2021-02-19       Impact factor: 16.806

4.  Aerosol Jet Printing of Graphene and Carbon Nanotube Patterns on Realistically Rugged Substrates.

Authors:  Reinhard Kaindl; Tushar Gupta; Alexander Blümel; Songfeng Pei; Peng-Xiang Hou; Jinhong Du; Chang Liu; Paul Patter; Karl Popovic; David Dergez; Kenan Elibol; Erhard Schafler; Johan Liu; Dominik Eder; Dietmar Kieslinger; Wencai Ren; Paul Hartmann; Wolfgang Waldhauser; Bernhard C Bayer
Journal:  ACS Omega       Date:  2021-12-10

5.  Graphene as a nanofiller for enhancing the tribological properties and thermal conductivity of base grease.

Authors:  Hui Fu; Guoping Yan; Meng Li; Hao Wang; Yapeng Chen; Chao Yan; Cheng-Te Lin; Nan Jiang; Jinhong Yu
Journal:  RSC Adv       Date:  2019-12-20       Impact factor: 4.036

6.  Chloroform-Assisted Rapid Growth of Vertical Graphene Array and Its Application in Thermal Interface Materials.

Authors:  Shichen Xu; Ting Cheng; Qingwei Yan; Chao Shen; Yue Yu; Cheng-Te Lin; Feng Ding; Jin Zhang
Journal:  Adv Sci (Weinh)       Date:  2022-03-24       Impact factor: 17.521

  6 in total

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