title: Formation of conductive networks with both segregated and double-percolated characteristic in conductive polymer composites with balanced properties.
abstract: Morphological control of conductive networks involves the construction of segregated or double-percolated conductive networks is often reported to reduce the electrical percolation threshold of conductive polymer composites (CPCs) for better balance among electrical conductivity, mechanical properties, and filler content. Herein, the construction of conductive networks with both segregated and double-percolated characteristics is achieved based on polypropylene (PP)/polyethylene (PE) and multi-wall carbon nanotubes (CNTs). CNTs were firstly dispersed in PE; then PE/CNTs were compounded with PP particles well below the melting temperature of PP. It is observed that the percolation threshold (pc) decreases with increasing PP particle size (size 3.6 mm, pc=0.08 wt %), which agrees with previous theoretical prediction and experiment in much smaller particle size range. To further study this, the amount of CNTs in PE is varied. It is shown that the degree of PE/CNTs coating on PP particles varies with CNTs as well as PE content in these composites, and have significant influence on the final electrical property. Furthermore, a model combines classical percolation theory and model for segregated network has been proposed to analyze the effect of particle size, degree of coating and thickness of coating on the percolation behavior of these CPCs. In such a model the percolation of CNTs in PE phase as well as PENT phase in the segregated structure can be described. Overall, through such method, a much better balance among mechanical property, conductivity, and filler content is achieved in these CPCs comparing with the results in literature.
authors.affiliation: College of Polymer Science and Engineering, Sichuan University , State Key Laboratory of Polymer Materials Engineering, Chengdu, Sichuan, China.
authors.forename: Shuangmei
authors.initials: S
authors.lastname: Zhang
authors.forename: Hua
authors.initials: H
authors.lastname: Deng
authors.forename: Qin
authors.initials: Q
authors.lastname: Zhang
authors.forename: Qiang
authors.initials: Q
authors.lastname: Fu