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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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Journal ArticleDOI
TL;DR: In this article, the authors examined the magnetohydrodynamic flow of non-Newtonian nanofluid in a pipe and derived explicit analytical expressions for the velocity field, the temperature distribution and nano concentration.

543 citations

Journal ArticleDOI
TL;DR: In this article, the authors show that the suspension of highly thermally conductive materials is not always effective to improve thermal transport property of nanofluids, and they also find that suspension of high-powered pulses is also not always beneficial.
Abstract: Nanofluids, a mixture of nanoparticles and fluid, have enormous potential to improve the efficiency of heat transfer fluids. Fe nanofluids are prepared with ethylene glycol and Fe nanocrystalline powder synthesized by a chemical vapor condensation process. Sonication with high-powered pulses is used to improve the dispersion of nanoparticles in the preparation of nanofluids. Nanofluids exhibit an enhancement of thermal conductivity after sonication. Thermal conductivity of a Fe nanofluid is increased nonlinearly up to 18% as the volume fraction of particles is increased up to 0.55 vol. %. Comparing Fe nanofluids with Cu nanofluids, we find that the suspension of highly thermally conductive materials is not always effective to improve thermal transport property of nanofluids.

539 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of temperature and particle volume concentration on the dynamic viscosity for the water-Al2O3 nanofluid has been experimentally investigated.

533 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of particle size on convective heat transfer in laminar developing region was evaluated with alumina-water nanofluids in tube flow with constant heat flux.

528 citations

Journal ArticleDOI
TL;DR: A moving particle model developed from the Stokes-Einstein formula explains the temperature effect and predictions from the combined model agree with the experimentally observed values of conductivity enhancement of nanofluids.
Abstract: A comprehensive model has been proposed to account for the large enhancement of thermal conductivity in nanofluids and its strong temperature dependence, which the classical Maxwellian theory has been unable to explain. The dependence of thermal conductivity on particle size, concentration, and temperature has been taken care of simultaneously in our treatment. While the geometrical effect of an increase in surface area with a decrease in particle size, rationalized using a stationary particle model, accounts for the conductivity enhancement, a moving particle model developed from the Stokes-Einstein formula explains the temperature effect. Predictions from the combined model agree with the experimentally observed values of conductivity enhancement of nanofluids.

528 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20232,677
20225,257
20213,659
20203,035
20192,990
20182,377