Advancing conductivity modeling: A unified framework for polymer carbon black nanocomposites

IF 6.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Yasser Zare , Muhammad Naqvi , Kyong Yop Rhee , Soo-Jin Park
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引用次数: 0

Abstract

Although numerous experimental data on the conductivity of polymer carbon black (CB) nanocomposites (PCBs) have been reported, the modeling approaches remain incomplete and require further attention. This article proposes a simplified model for predicting the PCB electrical conductivity, incorporating key parameters such as CB radius (R), tunneling distance (λ), contact diameter (d), interphase depth, network percentage, and interfacial tension between CB and polymer. Experimental PCB conductivity data and parametric evaluations are utilized to validate the proposed model. The proposed model predicts that the thinnest and widest tunnels (λ = 2 nm and d = 30 nm) attain a maximum conductivity of 5.5 S/m. However, tunnels bigger than 4 nm cannot enhance the conductivity. Additionally, increasing the concentration of the smallest CBs (R = 10 nm) to 10 vol% boosts PCB conductivity to 4.9 S/m, whereas low concentrations (<5 vol%) of larger CBs (R > 17 nm) have negligible effect. These findings underscore the critical roles of tunneling dimensions together with CB size and concentration in the conductivity of this system.
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来源期刊
Journal of Materials Research and Technology-Jmr&t
Journal of Materials Research and Technology-Jmr&t Materials Science-Metals and Alloys
CiteScore
8.80
自引率
9.40%
发文量
1877
审稿时长
35 days
期刊介绍: The Journal of Materials Research and Technology is a publication of ABM - Brazilian Metallurgical, Materials and Mining Association - and publishes four issues per year also with a free version online (www.jmrt.com.br). The journal provides an international medium for the publication of theoretical and experimental studies related to Metallurgy, Materials and Minerals research and technology. Appropriate submissions to the Journal of Materials Research and Technology should include scientific and/or engineering factors which affect processes and products in the Metallurgy, Materials and Mining areas.
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