Estimation of Entropy Generation for Ag-MgO/Water Hybrid Nanofluid Flow through Rectangular Minichannel by Using Artificial Neural Network

Year 2019, , 41 - 51, 01.03.2019

Cuneyt Uysal Mehmet Erdi Korkmaz

https://doi.org/10.2339/politeknik.417756

Cited By: 1

Abstract

The convective heat transfer and
entropy generation characteristics of Ag-MgO/water hybrid nanofluid flow
through rectangular minichannel were numerically investigated. The Reynolds
number was in the range of 200 to 2000 and different nanoparticle volume fractions
were varied between



















= 0.005 and 0.02. In addition, Artificial
Neural Network was used to create a model for estimating of entropy generation
of Ag-MgO/water hybrid nanofluid flow. As a result, it was found that the
convective heat transfer coefficient for

= 0.02 Ag-MgO/water hybrid nanofluid is
21.29% higher than that of pure water, at Re=2000. Total entropy generation of
Ag-MgO/water hybrid nanofluid increased with increasing nanoparticle volume fraction.
The results obtained by ANN showed good agreement with the numerical results
obtained in this study. 

Keywords

Artificial neural network, convective heat transfer, entropy generation, hybrid nanofluid

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