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Journal ArticleDOI

Model for Heat Conduction in Nanofluids

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TLDR
A moving particle model developed from the Stokes-Einstein formula explains the temperature effect and predictions from the combined model agree with the experimentally observed values of conductivity enhancement of nanofluids.
Abstract
A comprehensive model has been proposed to account for the large enhancement of thermal conductivity in nanofluids and its strong temperature dependence, which the classical Maxwellian theory has been unable to explain. The dependence of thermal conductivity on particle size, concentration, and temperature has been taken care of simultaneously in our treatment. While the geometrical effect of an increase in surface area with a decrease in particle size, rationalized using a stationary particle model, accounts for the conductivity enhancement, a moving particle model developed from the Stokes-Einstein formula explains the temperature effect. Predictions from the combined model agree with the experimentally observed values of conductivity enhancement of nanofluids.

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Citations
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Journal ArticleDOI

Heat transfer characteristics of nanofluids: a review

TL;DR: A review on fluid flow and heat transfer characteristics of nanofluids in forced and free convection flows is presented in this article, where the authors identify opportunities for future research.
Journal ArticleDOI

Empirical correlation finding the role of temperature and particle size for nanofluid (Al2O3) thermal conductivity enhancement

TL;DR: In this paper, an experimental correlation for the thermal conductivity of Al2O3 nanofluids as a function of nanoparticle size over a wide range of temperature (from 21 to 71°C).
Journal ArticleDOI

Heat Transfer in Nanofluids—A Review

TL;DR: In this paper, the authors present an exhaustive review of the literature in this area and suggest a direction for future developments, including heat transfer, material science, physics, chemical engineering and synthetic chemistry.
Journal ArticleDOI

Empirical correlating equations for predicting the effective thermal conductivity and dynamic viscosity of nanofluids

TL;DR: In this article, two empirical correlations for predicting the effective thermal conductivity and dynamic viscosity of nanofluids, based on a high number of experimental data available in the literature, are proposed and discussed.
References
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Book

A Treatise on Electricity and Magnetism

TL;DR: The most influential nineteenth-century scientist for twentieth-century physics, James Clerk Maxwell (1831-1879) demonstrated that electricity, magnetism and light are all manifestations of the same phenomenon: the electromagnetic field as discussed by the authors.
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