Suppr超能文献

具有石墨烯纳米片层隔离网络的聚合物复合材料的增强电导率和热导率

Enhanced Electrical and Thermal Conductivities of Polymer Composites with a Segregated Network of Graphene Nanoplatelets.

作者信息

Kim Ki Hoon, Jang Ji-Un, Yoo Gyun Young, Kim Seong Hun, Oh Myung Jun, Kim Seong Yun

机构信息

Department of Carbon Composites Convergence Materials Engineering, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Jeonbuk, Republic of Korea.

Research Institute of Industrial Science, Hanyang University, 222 Wangsimni-ro, Haengdang-dong, Seongdong-gu, Seoul 04763, Republic of Korea.

出版信息

Materials (Basel). 2023 Jul 29;16(15):5329. doi: 10.3390/ma16155329.

Abstract

Introducing a segregated network constructed through the selective localization of small amounts of fillers can be a solution to overcome the limitations of the practical use of graphene-based conductive composites due to the high cost of fillers. In this study, polypropylene composites filled with randomly dispersed GNPs and a segregated GNP network were prepared, and their conductive properties were investigated according to the formation of the segregated structure. Due to the GNP clusters induced by the segregated structure, the electrical percolation threshold was 2.9 wt% lower than that of the composite incorporating randomly dispersed GNPs. The fully interconnected GNP cluster network inside the composite contributed to achieving the thermal conductivity of 4.05 W/m∙K at 10 wt% filler content. Therefore, the introduction of a segregated filler network was suitable to simultaneously achieve excellent electrical and thermal conductivities at a low content of GNPs.

摘要

引入通过少量填料的选择性定位构建的隔离网络,可能是克服基于石墨烯的导电复合材料因填料成本高而在实际应用中存在局限性的一种解决方案。在本研究中,制备了填充有随机分散的石墨烯纳米片(GNPs)和隔离的GNPs网络的聚丙烯复合材料,并根据隔离结构的形成研究了它们的导电性能。由于隔离结构诱导的GNPs团簇,其渗流阈值比含有随机分散GNPs的复合材料低2.9 wt%。复合材料内部完全互连的GNPs团簇网络有助于在填料含量为10 wt%时实现4.05 W/m∙K的热导率。因此,引入隔离填料网络适合在低含量GNPs的情况下同时实现优异的电导率和热导率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b1e/10420153/5542d7f25318/materials-16-05329-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验