4.7 Article

Constructing interconnected graphene network in fluoroelastomer composites by F-H polar interaction for enhanced mechanical and barrier properties

期刊

COMPOSITES SCIENCE AND TECHNOLOGY
卷 148, 期 -, 页码 35-42

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.compscitech.2017.05.014

关键词

Elastomer; Fluorine-hydrogen bond; Tensile strength; Gas barrier

资金

  1. National Basic Research Program of China [2015CB654700, 2015CB654703]
  2. National Natural Science Foundation of China [51573053]
  3. Science and Technology Planning Project of Guangdong Province [2014A010105022]

向作者/读者索取更多资源

Graphene is one of the most promising fillers for functional nanocomposites due to its high strength, high conductivity and high specific surface area, etc. However, its poor interfacial compatibility makes it difficult to simultaneously satisfy high strength and low gas permeability of nanocomposites. Herein, we proposed a novel strategy to regulate interfacial adhesion by fluorine-hydrogen (F-H) polar interaction in the FKM composites. The F-H polar interactions effectively induce the graphene oxide (GO) interact with the chain of fluoroelastomer (FKM) in spatial arrangements on molecular-level, promoting the construction of interconnected GO network. Specifically, a 10-fold increase in tensile strength of FKM/GO-5 with the incorporation of 5 phr GO is realized compared with pure FKM, and the oxygen permeability of FKM/GO-5 decreases by 79%. At the same filler contents, FKM/GO-5 composites exhibit higher mechanical property and lower gas permeability compared with FKM/rGO composites. Such enhanced performances make FKM/GO composites with an interconnected network very competitive for potential applications as multi-functional structural materials. The proposed strategy provides a novel effective approach for developing and designing the high-performances fluorine-based polymer nanocomposites. (C) 2017 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据