In recent years, enhanced thermal conductive properties of polymer composites filled with reduced graphene oxide (rGO) have been studied for diverse applications. However, rGO fillers tend to form aggregates, making it difficult to reach the maximum enhancement through the use of rGO. Experiments have shown that the hydrogen bond between rGO and montmorillonite (MMT) can lead to a stable dispersion of rGO with the result of improving the effective thermal conductivity (ETC) of the composite. However, the mechanisms of this phenomenon are not yet well known. In this work, a micromechanics-based method is proposed to provide an analytical expression of the ETC of rGO/MMT/polymer composites. The predictions are in good agreement with the experimental data, demonstrating the effectiveness of the proposed framework. Also, the effect of the orientation of the fillers is investigated, which useful to determine the optimal orientation and filling ratio to meet various requirements in the material performance design and preparation of rGO/MMT/polymer composites.
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21 April 2021
Research Article|
April 21 2021
A micromechanics model to predict effective thermal conductivity of rGO/MMT/polymer composites
Chaonan Cong
;
Chaonan Cong
1
Department of Mechanics and Engineering Science, College of Engineering, Peking University
, Beijing 100871, China
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Yongqiang Chen
;
Yongqiang Chen
a)
1
Department of Mechanics and Engineering Science, College of Engineering, Peking University
, Beijing 100871, China
a)Author to whom correspondence should be addressed: chenyq@pku.edu.cn
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Zhuping Huang;
Zhuping Huang
1
Department of Mechanics and Engineering Science, College of Engineering, Peking University
, Beijing 100871, China
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Shulin Bai
Shulin Bai
2
Department of Materials Science and Engineering, CAPT/HEDPS/LTCS, College of Engineering, Peking University
, Beijing 100871, China
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a)Author to whom correspondence should be addressed: chenyq@pku.edu.cn
J. Appl. Phys. 129, 155108 (2021)
Article history
Received:
September 19 2020
Accepted:
April 05 2021
Citation
Chaonan Cong, Yongqiang Chen, Zhuping Huang, Shulin Bai; A micromechanics model to predict effective thermal conductivity of rGO/MMT/polymer composites. J. Appl. Phys. 21 April 2021; 129 (15): 155108. https://doi.org/10.1063/5.0030134
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