Estimation of entropy generation for ag-mgo/water hybrid nanofluid flow through rectangular minichannel by using artificial neural network
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/openAccess
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 = 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.
Açıklama
Anahtar Kelimeler
Mühendislik, Elektrik ve Elektronik, Bilgisayar Bilimleri, Yazılım Mühendisliği, Mühendislik, Makine, Mühendislik, Jeoloji, Bilgisayar Bilimleri, Bilgi Sistemleri, Bilgisayar Bilimleri, Donanım ve Mimari, Mühendislik, Kimya
Kaynak
Politeknik Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
22
Sayı
1
