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Enhancing thermal conductivity of fluids with nano-particles

Stephen U. S. Choi
- Vol. 231, pp 99-105
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The article was published on 1995-01-01 and is currently open access. It has received 7263 citations till now. The article focuses on the topics: Thermal conductivity & Nanoparticle.

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On magnetohydrodynamic flow of nanofluid due to a rotating disk with slip effect: A numerical study

TL;DR: In this article, the magnetohydrodynamic (MHD) boundary layer flow of viscous nanofluid in the presence of velocity slip condition is explored. And the problem formulation is carried out for low magnetic Reynolds number and boundary layer assumptions.
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Liquid metal cooling in thermal management of computer chips

TL;DR: In this article, the authors present an overall review on chip cooling using liquid metals or their alloys as coolant, and some new advancement in making a liquid metal cooling device will be discussed.
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A comprehensive review on minimum quantity lubrication (MQL) in machining processes using nano-cutting fluids

TL;DR: This guideline shows the physical, tribological, and heat transfer mechanisms associated with employing such cooling/lubrication approaches and their effects on different machining quality characteristics such as tool wear, surface integrity, and cutting forces.
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Tribology of enhanced turning using biolubricants: A comparative assessment

TL;DR: In this paper , the cooling lubrication mechanism and technical iteration motivation of minimum quantity lubrication (MQL) were initially analyzed, and a quantized comparative assessment of cutting force, cutting temperature, tool wear, and surface quality under enhanced environmentally friendly lubrication turning, including parts enhanced by nanoparticles, cryogenic medium, ultrasonic vibration, and textured tools, was performed.
Journal ArticleDOI

Evaluating the effect of temperature and concentration on the thermal conductivity of ZnO-TiO2/EG hybrid nanofluid using artificial neural network and curve fitting on experimental data

TL;DR: In this article, the experimental data on the thermal conductivity of EG based hybrid nanofluid containing zinc oxide and titanium oxide have been used for training the artificial neural network and three two-variable correlations have been proposed using curve-fitting on experimental data.
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