Topic
Nanofluid
About: Nanofluid is a research topic. Over the lifetime, 23986 publications have been published within this topic receiving 677384 citations.
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TL;DR: In this paper, the heat and mass transfer characteristics of some nanofluid flows past a vertical infinite flat plate were considered and the radiation effect for two distinct types of thermal boundary conditions was also taken into account.
199 citations
TL;DR: In this article, a feed-forward back-propagation multilayer perceptron artificial neural network was developed and tested via employing Levenberg-Marquardt training algorithm in order to predict nanofluid viscosity in broad ranges of operating parameters.
198 citations
TL;DR: In this article, a neural network with one hidden layer and four neurons has been used to estimate the viscosity of the aqueous nanofluid of TiO2 using experimental data.
198 citations
TL;DR: In this article, the effect of Brownian motion on the effective thermal conductivity and viscosity of nanofluid is calculated by KKL (Koo-Kleinstreuer-Li) correlation.
Abstract: Control volume based finite element method (CVFEM) is applied to investigate flow and heat transfer of CuO–water nanofluid in presence of magnetic field. The enclosure has a sinusoidal wall under constant heat flux. The effective thermal conductivity and viscosity of nanofluid are calculated by KKL (Koo–Kleinstreuer–Li) correlation. In this model effect of Brownian motion on the effective thermal conductivity is considered. The numerical investigations are conducted at a fixed Prandtl number equal to 6.2. Various values of non-dimensional governing parameters such as volume fraction of nanoparticles (ϕ), Rayleigh number (Ra), dimensionless amplitude of the sinusoidal wall (a) and Hartmann number (Ha) are examined. Also a correlation of Nusselt number corresponding to active parameters is presented. The results show that Nusselt number is an increasing function of nanoparticles volume fraction, dimensionless amplitude of the sinusoidal wall and Rayleigh number while it is a decreasing function of Hartmann number.
198 citations
TL;DR: Both the dispersion process and the use of some dispersants were investigated as a function of the nanoparticle concentration, and the high-pressure homogenization was found to be the best method and the addition of n-dodecyl sulphate and polyethylene glycol as dispersants, respectively, improved the nanofluid stability.
Abstract: In the recent years, great interest has been devoted to the unique properties of nanofluids. The dispersion process and the nanoparticle suspension stability have been found to be critical points in the development of these new fluids. For this reason, an experimental study on the stability of water-based dispersions containing different nanoparticles, i.e. single wall carbon nanohorns (SWCNHs), titanium dioxide (TiO2) and copper oxide (CuO), has been developed in this study. The aim of this study is to provide stable nanofluids for selecting suitable fluids with enhanced thermal characteristics. Different dispersion techniques were considered in this study, including sonication, ball milling and high-pressure homogenization. Both the dispersion process and the use of some dispersants were investigated as a function of the nanoparticle concentration. The high-pressure homogenization was found to be the best method, and the addition of n-dodecyl sulphate and polyethylene glycol as dispersants, respectively in SWCNHs-water and TiO2-water nanofluids, improved the nanofluid stability.
198 citations