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Modeling of Electrical Conductivity for Polymer–Carbon Nanofiber Systems Publisher



Khalil Arjmandi S1 ; Khademzadeh Yeganeh J1 ; Zare Y2 ; Rhee KY3
Authors
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Authors Affiliations
  1. 1. Department of Polymer Engineering, Faculty of Engineering, Qom University of Technology, Qom, 371951519, Iran
  2. 2. Biomaterials and Tissue Engineering Research Group, Breast Cancer Research Center, Department of Interdisciplinary Technologies, Motamed Cancer Institute, ACECR, Tehran, 1125342432, Iran
  3. 3. Department of Mechanical Engineering (BK21 Four), College of Engineering, Kyung Hee University, Yongin, 17104, South Korea

Source: Materials Published:2022


Abstract

There is not a simple model for predicting the electrical conductivity of carbon nanofiber (CNF)–polymer composites. In this manuscript, a model is proposed to predict the conductivity of CNF-filled composites. The developed model assumes the roles of CNF volume fraction, CNF dimensions, percolation onset, interphase thickness, CNF waviness, tunneling length among nanoparticles, and the fraction of the networked CNF. The outputs of the developed model correctly agree with the experimentally measured conductivity of several samples. Additionally, parametric analyses confirm the acceptable impacts of main factors on the conductivity of composites. A higher conductivity is achieved by smaller waviness and lower radius of CNFs, lower percolation onset, less tunnel distance, and higher levels of interphase depth and fraction of percolated CNFs in the nanocomposite. The maximum conductivity is obtained at 2.37 S/m by the highest volume fraction and length of CNFs. © 2022 by the authors.
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