文献类型：期刊文献

英文题名：High-Performance Carbon Nanotube/Polymer Composite Fiber from Layer-by-Layer Deposition

作者：Le Wu, Min[1];Chen, Yun[2];Zhang, Liang[1];Zhan, Hang[1];Qjang, Lei[1];Wang, Jian Nong[1]

机构：[1]E China Univ Sci & Technol, Sch Mech & Power Engn, Nano Carbon Res Ctr, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Sch Mat Sci & Engn, 800 Dong Chuan Rd, Shanghai 200240, Peoples R China

年份：2016

卷号：8

期号：12

起止页码：8137

外文期刊名：ACS APPLIED MATERIALS & INTERFACES

收录：;EI(收录号：20161602266773);WOS:【SCI-EXPANDED(收录号:WOS:000373519500061)】；

基金：Financial support from the National Natural Science Foundation of China (Projects 51271077, U1362104) are greatly acknowledged.

语种：英文

外文关键词：high performance; carbon nanotubes; composite fiber; layer by layer; large scale production

摘要：So far, preparation of high-performance carbon nanotube (CNT)/polymer composites still faces big challenges mainly due to the limited control of CNT dispersion, fraction, and alignment in polymers. Here, a new "layer-by-layer deposition" method is put forward for preparing CNT/polymer composite fibers using polyvinyl alcohol) (PVA) as an exemplary polymer. This is based on the continuous production of a hollow cylindrical CNT assembly froth a high temperature reactor and its shrinking by a PVA-containing solution and deposition On a removable substrate wire. The in situ mixing of the two composite components at the molecular level allows CNTs to disperse and PVA to infiltrate into the fiber efficiently. As a result, remarkable effects of the CNT reinforcement on the PVA matrix are observed, including a strength improvement from similar to 50 to 1255 MPa and electrical conductivity from similar to 0 to 1948 S cm(-1). The new method offers good controllability of CNT dispersion and fraction in the polymer matrix, variability for making composite fibers using different polymers, arid suitability for scaled up production. This study thus provides a new research direction for preparing CNT-reinforced composites and future performance maximization.