Journal ArticleDOI
Empirical correlating equations for predicting the effective thermal conductivity and dynamic viscosity of nanofluids
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.About:
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.read more
Citations
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Journal ArticleDOI
An Expert Model Based On Physics-Aware Neural Network for the Prediction of Thermal Conductivity of Nanofluids
TL;DR: In this paper , a physics guided machine learning approach was proposed by incorporating physics-based relations at the initial stage and into traditional loss functions for predicting the thermal conductivity of water-based nanofluids using a wide range of both experimental and simulated data.
Evaporation of Gold Nanofluid Sessile Drops on Heated Substrate
TL;DR: In this paper, the effect of size and concentration of nanoparticles on the evaporation rate of gold nanofluid droplets was investigated on a hydrophobic silicon substrate at different surface temperature (amb, 60 and 80 °C).
Analysis of the Heat Transfer Enhancement in Triangular Microchannel with a Trapezoidal Corrugated Surface and Hybrid Nanofluid
TL;DR: In this paper , the effects of different wave amplitudes of the trapezoidal corrugated surface in a triangular microchannel on the thermal and hydraulic properties using the finite volume method were investigated.
Proceedings ArticleDOI
Theoretical Investigation of Thermal Conductivity and Viscosity of Nanofluids
TL;DR: In this paper, the effects of concentration and characteristics of nanoparticles including size and material on the nanofluids thermal conductivity and viscosity were analyzed and compared to experimental data by calculating the average percent error.
Book ChapterDOI
Thermal Conductivity of Nanofluids – Experiments, Models, and their Advancements
TL;DR: In this paper , the main scientific activities and findings in connection with experiments and models for the determination of the thermal conductivity of nanofluids and their advancements are reviewed and analyzed as a function of influencing parameters and mechanisms, and discussed in the context of new advancements in the field.
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.
Journal ArticleDOI
Investigation on Convective Heat Transfer and Flow Features of Nanofluids
Yimin Xuan,Qiang Li +1 more
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.
Journal ArticleDOI
Hydrodynamic and heat transfer study of dispersed fluids with submicron metallic oxide particles
Bock Choon Pak,Young I. Cho +1 more
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.
Journal ArticleDOI
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.