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
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
收藏
页码:1819 / 1827
页数:9
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