Politeknik Dergisi

2147-9429

Gazi University

10.2339/politeknik.417756

Engineering

Mühendislik

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

Uysal

Cuneyt

Korkmaz

Mehmet Erdi

03 01 2019

22 1 41 51 10 27 2017

1998

Journal of Polytechnic

The convective heat transfer andentropy generation characteristics of Ag-MgO/water hybrid nanofluid flowthrough rectangular minichannel were numerically investigated. The Reynoldsnumber was in the range of 200 to 2000 and different nanoparticle volume fractionswere varied between = 0.005 and 0.02. In addition, ArtificialNeural Network was used to create a model for estimating of entropy generationof Ag-MgO/water hybrid nanofluid flow. As a result, it was found that theconvective heat transfer coefficient for = 0.02 Ag-MgO/water hybrid nanofluid is21.29% higher than that of pure water, at Re=2000. Total entropy generation ofAg-MgO/water hybrid nanofluid increased with increasing nanoparticle volume fraction.The results obtained by ANN showed good agreement with the numerical resultsobtained in this study. 

Artificial neural network convective heat transfer entropy generation hybrid nanofluid

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