Multiscale modeling and analysis of synergistic reduction of the thermal resistance of polymer composites via hybrid carbon nanotube/graphene nanoplatelet

Yunhe Sheng, Chao Li, Chuang Feng, Yu Su*, Shangbin Xi*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

摘要

Synergistic effect has been experimentally demonstrated as a key phenomenon to reduce the thermal resistance and enhance thermal conductivity of polymer composites with nanofiller hybrids including carbon nanotube (CNT) and graphene nanoplatelet (GNP). But there is a lack of theory that can satisfactorily explain the related mechanisms. We present a study based on the effective medium theory to describe the correlation between the thermal conductivity of a composite and the specific information of its nanofiller hybrids, i.e., their aspect ratios, volume fractions, and various thermal resistance. A new model is established and is validated by experimental data. It helps to unveil the mechanisms of the observed synergistic effect of the CNT/GNP thermal networks. It is shown that the prominent enhancement in the effective thermal conductivity is largely due to the low CNT–GNP interfacial thermal resistance Rbdc−g, which is one magnitude lower than CNT–CNT or GNP–GNP resistance (Rbdc−c, Rbdg−g) in the hybrid thermal networks. Based on the developed model, one is able to achieve the highest thermal-conductivity enhancement for the composite by optimizing the CNT/GNP volume ratio. The thermal conductivity enhancement of the composite is further investigated by considering the spatial orientation and alignment arrangement of the nanofiller hybrids.

源语言英语
文章编号109672
期刊International Journal of Thermal Sciences
210
DOI
出版状态已出版 - 4月 2025

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Sheng, Y., Li, C., Feng, C., Su, Y., & Xi, S. (2025). Multiscale modeling and analysis of synergistic reduction of the thermal resistance of polymer composites via hybrid carbon nanotube/graphene nanoplatelet. International Journal of Thermal Sciences, 210, 文章 109672. https://doi.org/10.1016/j.ijthermalsci.2024.109672