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Thermoelectric Model to Predict Electrical Resistivity of Dielectric Based Nanocomposites

Sayavur I. Bakhtiyarov*, Mostafa Hassanalian **, Ayten S. Bakhtiyarova ***

*-*** New Mexico Institute of Mining and Technology, Socorro, New Mexico, USA.

Periodicity:May - July'2021
DOI : https://doi.org/10.26634/jfet.16.4.18304

Abstract

The nanocomposites demonstrated better mechanical, thermal and physical properties because the nanosize fillers (nanotubes, graphene ribbons, metallic and nonmetallic nanoparticles, and nanofibers and nanofilms) embedded in a matrix material (polymers, metals, alloys, glass, ceramics) have a large specific surface area, which leads to a considerably extended volume of interphase boundaries between the filler and matrix. Carbon nanotubes (CNTs) are considered as durable and lightweight fillers for nanocomposites. Recently, the carbon nanotubes (CNTs) doped with some elements have widely attracted the attention of researchers due to their functional properties. The purpose of this study is development of model to predict effective thermal and electrical conductivities of dielectric matrix with embedded ferromagnetic atom cluster doped carbon nanoparticles (CNPs). The Wiedemann-Franz law has been used to relate the thermal and electrical conductivities of the conducting composite. The predicted values of the electrical resistivity are in a qualitatively good agreement with the experimental data.

Keywords

Nanocomposite, Space Charge, Conductivity, Dielectric.

How to Cite this Article?

Bakhtiyarov, S. I., Hassanalian, M., and Bakhtiyarova, A.S. (2021). Thermoelectric Model to Predict Electrical Resistivity of Dielectric Based Nanocomposites. i-manager's Journal on Future Engineering and Technology, 16(4), 22-28. https://doi.org/10.26634/jfet.16.4.18304

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Thermoelectric Model to Predict Electrical Resistivity of Dielectric Based Nanocomposites

Abstract

Keywords

How to Cite this Article?

References

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