Conductive polymer foams with carbon nanofillers - Modeling percolation behavior

被引：8

作者：

Maxian, O. ^{[1
]}

Pedrazzoli, D. ^{[1
]}

Manas-Zloczower, I. ^{[1
]}

机构：

[1] Case Western Reserve Univ, Dept Macromol Sci & Engn, 2100 Adelbert Rd, Cleveland, OH 44106 USA

来源：

EXPRESS POLYMER LETTERS | 2017年 / 11卷 / 05期

基金：

美国国家科学基金会;

关键词：

modeling and simulation; carbon nanotubes; graphene; hybrid systems; porous materials; ELECTRICAL-CONDUCTIVITY; GRAPHITE NANOPLATELETS; NANOCOMPOSITE FOAMS; COMPOSITES; THRESHOLD; NANOTUBES; POLYPROPYLENE;

D O I：

10.3144/expresspolymlett.2017.39

中图分类号：

O63 [高分子化学（高聚物）];

学科分类号：

070305 ; 080501 ; 081704 ;

摘要：

A new numerical model considering nanofiller random distribution in a porous polymeric matrix was developed to predict electrical percolation behavior in systems incorporating 1D-carbon nanotubes (CNTs) and/ or 2D-graphene nanoplatelets (GNPs). The numerical model applies to porous systems with closed-cell morphology. The percolation threshold was found to decrease with increasing porosity due to filler repositioning as a result of foaming. CNTs were more efficient in forming a percolative network than GNPs. High-aspect ratio (AR) and randomly oriented fillers were more prone to form a network. Reduced percolation values were determined for misaligned fillers as they connect better in a network compared to aligned ones. Hybrid CNT-GNP fillers show synergistic effects in forming electrically conductive networks by comparison with single fillers.

引用

页码：406 / 418

页数：13

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