4.8 Review

Polymer nanocomposites based on functionalized carbon nanotubes

期刊

PROGRESS IN POLYMER SCIENCE
卷 35, 期 7, 页码 837-867

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.progpolymsci.2010.03.002

关键词

Nanocomposites; Carbon nanotubes; Mechanical properties; Functionalization

资金

  1. MOST/KOSEF [R11-2005-065]
  2. A*STAR SERC [0721010018]
  3. National Research Foundation of Korea [2008-0057388] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Carbon nanotubes (CNTs) exhibit excellent mechanical, electrical, and magnetic properties as well as nanometer scale diameter and high aspect ratio, which make them an ideal reinforcing agent for high strength polymer composites. However, since CNTs usually form stabilized bundles due to Van der Waals interactions, are extremely difficult to disperse and align in a polymer matrix. The biggest issues in the preparation of CNT-reinforced composites reside in efficient dispersion of CNTs into a polymer matrix, the assessment of the dispersion, and the alignment and control of the CNTs in the matrix. There are several methods for the dispersion of nanotubes in the polymer matrix such as solution mixing, melt mixing, electrospinning, in-situ polymerization and chemical functionalization of the carbon nanotubes, etc. These methods and preparation of high performance CNT-polymer composites are described in this review. A critical comparison of various CNT functionalization methods is given. In particular, CNT functionalization using click chemistry and the preparation of CNT composites employing hyperbranched polymers are stressed as potential techniques to achieve good CNT dispersion. In addition, discussions on mechanical, thermal, electrical, electrochemical and optical properties and applications of polymer/CNT composites are included. (C) 2008 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

4.8
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