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Journal ArticleDOI

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

Massimo Corcione
- 01 Jan 2011 - 
- Vol. 52, Iss: 1, pp 789-793
TLDR
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.
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This article is published in Energy Conversion and Management.The article was published on 2011-01-01. It has received 971 citations till now. The article focuses on the topics: Nanofluid & Volume fraction.

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Citations
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Two-phase mixture numerical simulation of natural convection of nanofluid flow in a cavity partially filled with porous media to enhance heat transfer

TL;DR: In this paper, the effect of nanoparticles and also simultaneous impact of the nanofluid and the porous layer on heat transfer characteristics are discussed. But the single effect is not considered in this paper, since nanoparticles can weaken the convection and also strengthen the conduction.
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Numerical investigation of natural convection of Al2O3-water nanofluid in a wavy cavity with conductive inner block using Buongiorno's two-phase model

TL;DR: By employing the finite element method, thermophoresis and Brownian diffusion are studied numerically relating to the natural convection in a wavy cavity that is filled with an Al 2 O 3 -water nanofluid possessing a central heat-conducting solid block that is influenced by the local heater located on the bottom wall as mentioned in this paper.
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Modeling and prediction of viscosity of water-based nanofluids by radial basis function neural networks

TL;DR: Comparisons demonstrate that the predicted viscosity of RBF neural networks agree well with the experimental data, which outperforms many existing theoretical and empirical models.
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Fouling formation and thermal performance of aqueous carbon nanotube nanofluid in a heat sink with rectangular parallel microchannel

TL;DR: In this paper, the authors investigated the thermal performance of a copper-made heat sink with rectangular microchannel and found that carbon nano tube aqueous nanofluid is used as a coolant inside the microchannel at mass concentrations of 0.05-0.1%.
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Investigation on viscosity of Fe3O4 nanofluid under magnetic field

TL;DR: In this article, an experimental investigation on the viscosity of water-based Fe 3 O 4 nanofluid under different magnetic fields was conducted by improving the test region of SV-10 viscometer.
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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Investigation on Convective Heat Transfer and Flow Features of Nanofluids

TL;DR: In this article, an innovative new class of heat transfer fluids can be engineered by suspending metallic nanoparticles in conventional heat-transfer fluids, which are expected to exhibit high thermal conductivities compared to those of currently used heat transfer fluid, and they represent the best hope for enhancing heat transfer.
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Hydrodynamic and heat transfer study of dispersed fluids with submicron metallic oxide particles

TL;DR: In this article, the authors used a Brookfield rotating viscometer to measure the viscosities of the dispersed fluids with γ-alumina (Al2O3) and titanium dioxide (TiO2) particles at a 10% volume concentration.
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The Viscosity of Concentrated Suspensions and Solutions

TL;DR: In this paper, an expression for the viscosity of solutions and suspensions of finite concentration is derived by considering the effect of the addition of one solute-molecule to an existing solution, which is considered as a continuous medium.