材料科学
导电体
碳纳米管
复合材料
天然橡胶
渗流阈值
交叉连接
渗透(认知心理学)
电导率
骨料(复合)
填料(材料)
聚合物
电阻率和电导率
电气工程
物理化学
神经科学
工程类
化学
生物
作者
Lin Gan,Ming Dong,Ying Han,Yanhong Xiao,Lin Yang,Jin Huang
标识
DOI:10.1021/acsami.8b03081
摘要
Conductive rubber composites usually suffer a large filler content and relatively low conductivity because the uniform dispersion of conductive nanofillers in rubbers is probably inhibited by the cross-link networks. However, by establishing a double-network model of cross-link and conductive networks, we found the connection of one-dimensional nanofillers could be improved by cross-link networks, which stabilized the conductive network. The percolation value of nanofillers could reduce to 0.06 wt % in experiments, using carbon nanotubes (CNTs) with 9.5 nm diameter and 1.5 μm length as nanofillers and poly(dimethylsiloxane) as the matrix. Moreover, the conductive network owned a critical exponent of 5.63, which was higher than that of conventional conductive networks (ca. 2). This feature proved that the connection between CNTs was improved by the poly(dimethylsiloxane) cross-link network. This work subverted the fundamental conception that cross-link networks in rubbers should make fillers aggregate, and we believed it would conduce to the development of sensors and flexible devices of rubber composites.
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