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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A review on preparation, characterization, properties and applications of nanofluids
TL;DR: In this paper, the preparation of metal and metal oxides nanofluids and hybrid or composite nano-fluids is discussed, and various techniques used to study the physical and chemical characteristics of nanof-luids are presented.
Journal ArticleDOI
A review on thermophysical properties of nanofluids and heat transfer applications
TL;DR: In this article, the authors summarized the important results regarding the improvement in the thermophysical properties of nanofluids and identified the opportunities for future research in the field of nanophotonics.
Journal ArticleDOI
Review on thermal properties of nanofluids: Recent developments.
S. A. Angayarkanni,John Philip +1 more
TL;DR: The preparation of nanofluids by various techniques, methods of stabilization, stability measurement techniques, thermal conductivity and heat capacity studies, proposed mechanisms of heat transport, theoretical models on thermal Conductivity, factors influencing k and the effect of nanoinclusions in PCM are discussed in this review.
Journal ArticleDOI
A review of recent advances in thermophysical properties at the nanoscale: From solid state to colloids
Lin Qiu,Lin Qiu,Ning Zhu,Yanhui Feng,Efstathios E. Michaelides,Gaweł Żyła,Dengwei Jing,Xinxin Zhang,Pamela M. Norris,Christos N. Markides,Omid Mahian +10 more
TL;DR: In this paper, a review of recent advances in the measurement and modeling of thermophysical properties at the nanoscale (from the solid state to colloids) is presented, including thermal conductivity, dynamic viscosity, specific heat capacity, and density.
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A state of the art review on viscosity of nanofluids
TL;DR: In this paper, a comprehensive review of research and development on rheological characteristics of nanofluids for their advanced heat transfer applications is performed and reported in this paper, which identifies the research anomaly and importance on this topic besides analysing rheology of nanophluids.
References
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Rheological properties of nanofluids flowing through microchannels
TL;DR: In this paper, the authors used micromachined capillary viscometers equipped with local pressure probes to study the viscosity of SiO2 nanofluids submitted to very strong shear rates.
Journal ArticleDOI
A combined model for the effective thermal conductivity of nanofluids
TL;DR: In this article, a combined static and dynamic mechanisms-based model for predicting the effective thermal conductivity of nanofluids is presented, which includes the effects of particle size, nanolayer, Brownian motion, and particle surface chemistry and interaction potential.
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Thermal Conductivity Enhancement of Nanofluids by Brownian Motion
Chan Hee Chon,Kenneth D. Kihm +1 more
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Effective thermal conductivity of nanofluids containing spherical nanoparticles
Yajie Ren,Huaqing Xie,An Cai +2 more
TL;DR: In this article, a theoretical model which includes considerations of the effects of an interfacial nanolayer formed by liquid molecule layering on the particle/liquid interface and of micro-convection caused by thermal motion of nanoparticles has been proposed to calculate the effective thermal conductivity of nanofluids.
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Stochastic thermal transport of nanoparticle suspensions
TL;DR: Based on the superposition principle and the Green-Kubo theorem, a thermal conductivity model that is able to account for the effects of the volume fraction and sizes of nanoparticles has been developed.