A mathematical model for predicting conductivity of polymer composites with a forced assembly network obtained by SCFNA method

被引：25

作者：

Kormakov, S. ^{[1
]}

He, Xiaoxiang ^{[1
]}

Huang, Yao ^{[1
]}

Liu, Ying ^{[1
,2
]}

Sun, Jingyao ^{[1
]}

Zheng, Xiuting ^{[1
]}

Skopincev, I. ^{[3
]}

Gao, Xiaolong ^{[1
]}

Wu, Daming ^{[1
,2
]}

机构：

[1] Beijing Univ Chem Technol, Coll Mech & Elect Engn, Beijing 100029, Peoples R China

[2] Beijing Univ Chem Technol, State Key Lab Organ Inorgan Composites, Beijing 100029, Peoples R China

[3] Moscow Polytech Univ, Dept Machinery & Technol Polymer Mat, Moscow, Russia

来源：

POLYMER COMPOSITES | 2019年 / 40卷 / 05期

基金：

中国国家自然科学基金;

关键词：

ELECTRICAL-CONDUCTIVITY; CARBON NANOTUBES; PERCOLATION; FIBER; NANOCOMPOSITES; RESISTIVITY; MORPHOLOGY; BEHAVIOR; SYSTEMS;

D O I：

10.1002/pc.24942

中图分类号：

TB33 [复合材料];

学科分类号：

摘要：

The Spatial Confining Forced Network Assembly, SCFNA, is a promising method for the preparation of high performance electrical conductive polymer composites, CPCs, by constructing a forced assembly conductive network in the polymer matrix. Because the present mathematical models for predicting electrical conductivities of CPCs were derived based on the free assembly of a conductive network, they were not suitable for predicting the electrical conductivities of the CPCs by SCFNA. A mathematical model for predicting the electrical conductivities of CPCs prepared by SCFNA was proposed in this article by introducing a compression ratio based on experimental data of the CPCs of PP/CF fabricated by SCFNA. The proposed model showed a good agreement with the experimental data of electrical conductivities prepared by SCFNA method. POLYM. COMPOS., 40:1819-1827, 2019. (c) 2018 Society of Plastics Engineers

引用

页码：1819 / 1827

页数：9

共 59 条

[51] Non-contact gap sensor system completely made of conductive polymer composite [J].