Open Access
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.read more
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Mixed convection from a discrete heat source in enclosures with two adjacent moving walls and filled with micropolar nanofluids
TL;DR: In this article, the thermal and flow field characteristics of the laminar steady mixed convection flow in a square lid-driven enclosure filled with water-based micropolar nanofluids by using the finite volume method were examined.
Journal ArticleDOI
Velocity, mass and temperature analysis of gravity-driven convection nanofluid flow past an oscillating vertical plate in the presence of magnetic field in a porous medium
Hari R. Kataria,Akhil S. Mittal +1 more
TL;DR: In this paper, the mathematical modeling of flow, heat and mass transfer in the unsteady natural convection magneto hydrodynamic flow of electrically conducting nano fluid, past over an oscillating vertical plate is concerned.
Journal ArticleDOI
Modeling thermal conductivity enhancement of metal and metallic oxide nanofluids using support vector regression
Ibrahim Olanrewaju Alade,Tajudeen A. Oyehan,Idris K. Popoola,Sunday O. Olatunji,Aliyu Bagudu +4 more
TL;DR: In this paper, support vector regression (SVR) models were developed to predict the thermal conductivity enhancement for metallic and metallic-oxide nanofluids, and the accuracy and reliability of the developed models were assessed using statistical parameters such as correlation coefficient (R2), root mean square error (RMSE), and mean absolute error (MAE).
Journal ArticleDOI
Experimental and Numerical Investigation on Natural Convection Heat Transfer of TiO2–Water Nanofluids in a Square Enclosure
Journal ArticleDOI
Thermal conductivity modeling of graphene nanoplatelets/deionized water nanofluid by MLP neural network and theoretical modeling using experimental results
TL;DR: In this paper, a multilayer perceptron (MLP) artificial neural network (ANN) was used to predict the thermal conductivity of graphene nanofluid by using multilayers perceptron.
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