| Yazarlar (3) |
Adnan Berber
Selçuk Üniversitesi, Türkiye |
Doç. Dr. Mehmet GÜRDAL
Kastamonu Üniversitesi, Türkiye |
|
Kazım Bağırsakçı
Mechanical Engineer, Türkiye |
| 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 |
| artificial neural network [ANN) | forced convection | Heat transfer | pin | turbulent flow |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | EXPERIMENTAL HEAT TRANSFER |
| Dergi ISSN | 0891-6152 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI |
| Dergi Grubu | Q2 |
| Makale Dili | Türkçe |
| Basım Tarihi | 09-2021 |
| Cilt No | 34 |
| Sayı | 6 |
| Sayfalar | 547 / 563 |
| Doi Numarası | 10.1080/08916152.2020.1793826 |
| Atıf Sayıları | |
| WoS | 29 |
| SCOPUS | 24 |
| Google Scholar | 37 |
