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Prediction of heat transfer in a circular tube with aluminum and Cr-Ni alloy pins using artificial neural network    
Yazarlar
Adnan Berber
Selçuk Üniversitesi, Türkiye
Doç. Dr. Mehmet GÜRDAL
Türkiye
Kazım Bağırsakçı
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 (R2) 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.
Anahtar Kelimeler
Heat transfer,artificial neural network [ANN),turbulent flow,pin,forced convection
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı EXPERIMENTAL HEAT TRANSFER
Dergi ISSN 0891-6152
Dergi Tarandığı Indeksler SCI
Dergi Grubu Q2
Makale Dili Türkçe
Basım Tarihi 01-2021
Cilt No 34
Sayı 6
Doi Numarası 10.1080/08916152.2020.1793826