4.7 Article

Rheological and conductivity percolations of syndiotactic polystyrene composites filled with graphene nanosheets and carbon nanotubes: A comparative study

期刊

COMPOSITES SCIENCE AND TECHNOLOGY
卷 134, 期 -, 页码 153-160

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.compscitech.2016.08.016

关键词

Syndiotactic polystyrene; Graphene nanosheet; Carbon nanotube; Rheological properties; Electrical conductivity; Percolation

资金

  1. Ministry of Science and Technology of Taiwan (ROC) [NSC-101-2221-E-006-069-MY2]

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Two-dimensional graphene nanosheets (GNSs) and one-dimensional carbon nanotubes (CNTs) possess large aspect ratios but different geometries. In this study, syndiotactic polystyrene (sPS) composites reinforced with different contents of GNSs were prepared via a solution coagulation method. The dispersion and microstructure of GNSs in sPS were confirmed via transmission electron microscopy and atomic force microscopy. Rheological and electrical properties of sPS/GNS composites were investigated to reveal the effect of filler concentration, and the results were compared with those of sPS/CNT composites. Percolation scaling laws were applied to the magnitudes of storage modulus and electrical conductivity to determine the threshold concentration and corresponding exponent The sPS/GNS and sPS/CNT composites possess a similar percolation threshold for melt elasticity and solid conductivity. However, the rheological threshold (similar to 0.1 vol%) is distinctly lower than the conductivity threshold (similar to 0.5 vol%) because of the formation of polymer nanofiller hybrid network. The exponents for rheological and electrical percolations of sPS/GNS composites are determined as 4.12 and 4.71, respectively, which are higher than the corresponding values of 2.64 and 2.87 for sPS/CNT composites. The derived exponents indicate that the 2D GNS-related network is more effective than the 1D CNT-related network for enhancing the melt elasticity and solid conductivity of sPS matrix. (C) 2016 Elsevier Ltd. All rights reserved.

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