Modeling of Electrical Conductivity for Polymer–Carbon Nanofiber Systems
Sajad Khalil Arjmandi,
Jafar Khademzadeh Yeganeh,
Yasser Zare,
Kyong Yop Rhee
Affiliations
Sajad Khalil Arjmandi
Department of Polymer Engineering, Faculty of Engineering, Qom University of Technology, Qom 371951519, Iran
Jafar Khademzadeh Yeganeh
Department of Polymer Engineering, Faculty of Engineering, Qom University of Technology, Qom 371951519, Iran
Yasser Zare
Biomaterials and Tissue Engineering Research Group, Breast Cancer Research Center, Department of Interdisciplinary Technologies, Motamed Cancer Institute, ACECR, Tehran 1125342432, Iran
Kyong Yop Rhee
Department of Mechanical Engineering (BK21 Four), College of Engineering, Kyung Hee University, Yongin 17104, Korea
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.
