Interpreting Electrical Conductivity for Carbon Nanofiber‐Polymer Systems by a Modeling Approach

ABSTRACT A new methodology is developed to interpret the effective conductivity of the polymeric samples reinforced by carbon nanofibers (CNFs), referred to as PCNFs, taking into account the total resistivity of the system. The proposed method is used to estimate the effective conductivity of some samples. The model's predictions are compared to experimental results. Furthermore, applicable equations are provided for CNF effective volume share, waviness of CNFs, threshold of percolation, and the network percentage. In addition, the advanced method is validated through analysis of all factors affecting effective conductivity. The results reveal that a lower percolation onset (), thicker interphase, shorter tunneling distance, lower tunneling resistivity of polymer ( ρ ), larger tunneling diameter ( d ), and shorter tunneling size all contribute to higher effective conductivity in PCNFs. The effective conductivity reduces to zero when CNF volume percentage () is less than 0.015, but the utmost conductivity of 0.0044 S/m is achieved at = 0.04 and d = 40 nm. Furthermore, no conductivity is noticed at ρ > 6 Ω·m and > 0.013, while the greatest effective conductivity of 0.0017 S/m is seen at the lowest values of ρ = 1 Ω·m and = 0.002.