Prediction of heat transfer in a circular tube with aluminum and Cr-Ni alloy pins using artificial neural network
Küçük Resim Yok
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This work aims to estimate the experimental heat transfer coefficients of a circular channel using artificial neural network. The experiments are carried out at a forced turbulent flow regime of 10,000 < Re <50,000. The obtained experimental Nusselt numbers are compared using the ANN (Artificial Neural Network). In the developed ANN structure are showed mean square error (MSE), average relative deviation (ARD %), and correlation coefficient (R-2) in modeling of overall experimental datasets of Nusselt number. As a result, it is observed that the heat transfer correlation predicted by ANN are sufficiently consistent with the experimental results.
Açıklama
Anahtar Kelimeler
Heat Transfer, Artificial Neural Network [Ann), Turbulent Flow, Pin, Forced Convection
Kaynak
Experimental Heat Transfer
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
34
Sayı
6
