Journal ArticleDOI
Investigation on characteristics of thermal conductivity enhancement of nanofluids
Yujin Hwang,Young-Chull Ahn,Hyun-Suk Shin,Chan Gyu Lee,Gyoo-Cheon Kim,Hyean-Cheal Park,Jaekeun Lee +6 more
TLDR
In this paper, the thermal conductivity enhancement of water-based MWCNT nanofluid is increased up to 11.3% at a volume fraction of 0.01.About:
This article is published in Current Applied Physics.The article was published on 2006-10-01. It has received 389 citations till now. The article focuses on the topics: Nanofluid & Thermal conductivity.read more
Citations
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Nanofluids for improved efficiency in cooling solar collectors – A review
Ali Najah Al-Shamani,Ali Najah Al-Shamani,M. H. Yazdi,M. A. Alghoul,Azher M. Abed,Mohd Hafidz Ruslan,Sohif Mat,Kamaruzzaman Sopian +7 more
TL;DR: In this paper, the authors present the effects of nanofluids on the performance of solar collectors from the considerations of efficiency and environmental benefits, and show that the effect of different nano-fluids on cooling rate and hence the efficiency of solar systems can be experimentally investigated.
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Recent progress on the application of nanofluids in minimum quantity lubrication machining: A review
Nor Azwadi Che Sidik,Syahrullail Samion,Javad Ghaderian,Muhammad Noor Afiq Witri Muhammad Yazid +3 more
TL;DR: In this article, the authors reviewed the recent progress and applications of nanofluids in machining processes and discussed the preparation methods, factors for enhancing thermal conductivity and properties of nano-luids.
Journal ArticleDOI
Mutagenicity evaluation of metal oxide nanoparticles by the bacterial reverse mutation assay
TL;DR: Results showed the mutagenicity was negative for four nanoparticles up to 1000mug/plate to all three tested strains without S9 metabolic activation, and TiO(2) and ZnO induced marginal mutagenesis to strain Escherichia coli WP2 trp uvrA.
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Measurement of the thermal conductivity of titania and alumina nanofluids
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Prediction of thermal conductivity of ethylene glycol–water solutions by using artificial neural networks
Hüseyin Kurt,Muhammet Kayfeci +1 more
TL;DR: In this article, an artificial neural network (ANN) model was developed to predict the thermal conductivity of ethylene glycol-water solutions based on experimentally measured variables, and the performance of ANN was evaluated by a regression analysis between the predicted and the experimental values.
References
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Anomalously increased effective thermal conductivities of ethylene glycol-based nanofluids containing copper nanoparticles
TL;DR: In this paper, it was shown that a "nanofluid" consisting of copper nanometer-sized particles dispersed in ethylene glycol has a much higher effective thermal conductivity than either pure or pure glycol or even polyethylene glycol containing the same volume fraction of dispersed oxide nanoparticles.
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Thermal transport measurements of individual multiwalled nanotubes.
TL;DR: The thermal conductivity and thermoelectric power of a single carbon nanotube were measured using a microfabricated suspended device and shows linear temperature dependence with a value of 80 microV/K at room temperature.
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Thermal Conductivity of Heterogeneous Two-Component Systems
R. L. Hamilton,O. K. Crosser +1 more
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Measuring Thermal Conductivity of Fluids Containing Oxide Nanoparticles
TL;DR: In this paper, a transient hot-wire method was used to measure the thermal conductivity of a small amount of nanoparticles and the experimental results showed that these nanoparticles have substantially higher thermal conductivities than the same liquids without nanoparticles.
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Anomalous thermal conductivity enhancement in nanotube suspensions
TL;DR: In this paper, the authors have produced nanotube-in-oil suspensions and measured their effective thermal conductivity, which is anomalously greater than theoretical predictions and is nonlinear with nanotubes loadings.