Synergistic effect in conductive networks constructed with carbon nanofillers in different dimensions
Synergistic effect in conductive networks constructed with carbon nanofillers in different dimensions
复制标题
不同维度碳纳米填料构建的导电网络的协同效应
DOI：
10.3144/expresspolymlett.2012.17
复制
发表时间：
2012
影响因子：
3.3
通讯作者：
Hua Deng
中科院分区：
文献类型：
--
作者：
Feng Chen;Xiang Gao;Qin Zhang;Shuangmei Zhang;Qiang Fu;Ke Wang;Lin Lin;Hua Deng
本文研究了不同尺寸碳纳米填料构成的导电网络在成网过程中的协同效应。多壁碳纳米管（MWNTs）和炭黑（CB）被用作该系统中的导电填料。通过调节不同填料之间的比例来实现导电网络的形态控制。用经典逾渗阈值理论和调整排斥体积理论分析了这些体系的电学行为。观察到混杂填料填充的导电聚合物复合材料（CPC）的逾渗阈值远低于MWNT或CB填充的CPC，并且通过用CB取代一半的MWNT，可以将其从2.4wt%降低到0.21wt%。结合形态学观察，讨论了这一现象的可能机制。提出了一个模型，以了解在含有不同比例的纳米填料的复合材料的逾渗行为的机制。本工作对设计和制备低成本、具有新型电性能的导电高分子复合材料具有重要意义。
Herein, investigation on synergistic effect during network formation for conductive network constructed with carbon nanofillers in different dimensions is conducted. Multi-walled carbon nanotubes (MWNTs) and carbon black (CB) are employed as conductive fillers in this system. Morphological control of the conductive network is realized by adjusting the ratio between different fillers. Classical percolation threshold theory and adjusted excluded volume theory are used to analyze the electrical percolating behavior of these systems. It is observed that the percolation threshold of hybrid fillers filled conductive polymer composites (CPCs) is much lower than that of MWNTs or CB filled CPCs, and it can be reduced from 2.4 to 0.21 wt% by replacing half of the MWNTs with CB. Possible mechanism of this phenomenon is discussed together with morphological observation. A model is proposed to understand the mechanism of the percolation behavior in the composites containing various proportions of nanofillers. Our work is important for the design and preparation of low cost conductive polymer composites with novel electrical property.
登录
查看更多内容
影响因子：
10.9
作者：
Li, Wenjing;Buschhorn, Samuel T.;Bauhofer, Wolfgang
通讯作者：
Bauhofer, Wolfgang
影响因子：
9.1
作者：
W. Bauhofer;J. Kovacs
通讯作者：
W. Bauhofer;J. Kovacs
影响因子：
3.9
作者：
H. Deng;Rui Zhang;C. Reynolds;E. Bilotti;T. Peijs
通讯作者：
H. Deng;Rui Zhang;C. Reynolds;E. Bilotti;T. Peijs
DOI：
10.1201/9781315274386
发表时间：
2018-12
期刊：
--
影响因子：
--
作者：
D. Stauffer;A. Aharony;S. Redner
通讯作者：
D. Stauffer;A. Aharony;S. Redner
影响因子：
8.6
作者：
R. Otten;P. van der Schoot
通讯作者：
R. Otten;P. van der Schoot