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


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UYSAL C. , KORKMAZ M. E.

JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, cilt.22, ss.41-51, 2019 (ESCI İndekslerine Giren Dergi) identifier

  • Cilt numarası: 22 Konu: 1
  • Basım Tarihi: 2019
  • Doi Numarası: 10.2339/politeknik.417756
  • Dergi Adı: JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI
  • Sayfa Sayıları: ss.41-51

Özet

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 phi = 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 phi = 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.