Author/Authors
uysal, cuneyt karabuk university - tobb vocational school of technical sciences - automotive technologies program, Turkey , korkmaz, mehmet erdi karabuk university - faculty of engineering - mechanical engineering department, Turkey
Title Of Article
Estimation of Entropy Generation for Ag-MgO/Water Hybrid Nanofluid Flow through Rectangular Minichannel by Using Artificial Neural Network
شماره ركورد
29527
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.
From Page
41
NaturalLanguageKeyword
Artificial neural network , convective heat transfer , entropy generation , hybrid nanofluid
JournalTitle
Journal Of Polytechnic
To Page
51
JournalTitle
Journal Of Polytechnic
Link To Document