Abstract
The Prasher analytical model was used for calculating the thermal conductivity of the embedded nanoparticles of Al2O3, CuO, ZnO, and SiO2 in conventional fluids, such as water and ethylene glycol. The values that were obtained were used in the nanofluid theoretical models for comparison with experimental data, where good agreement was obtained. Liang and Li’s theoretical model was also used to calculate the thermal conductivity of these nanoparticles, where the results agreed with those obtained using the Prasher model. The effect of the liquid nanolayer thickness around the nanoparticles that was used to enhance the effective thermal conductivity of nanofluids was explained. The role of the nanoparticles’ surface specularity parameter, which was size-dependent, was clarified. This theoretical trend provides a simple method for estimating the thermal conductivity of nanoparticles and nanofluids.
Highlights
According to the experimental data obtained at room temperature by Eastman et al [62], calculations of the thermal conductivity ratio for copper oxide (CuO) and alumina (Al2 O3 ) nanoparticles of diameters 36 nm and 33 nm, respectively, that were dispersed in deionized water were performed using Equation (1)
These results suggested that nanoparticles’ thermal conductivity through phonon scattering processes at the surface plays a significant role in transferring energy in NFs
This work concentrated on the utilization of theoretical trends for measuring nanoparticles’ thermal conductivity, which is very difficult to achieve experimentally
Summary
Conductivity Calculations for Nanoparticles Embedded in a Base. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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