Prediction of heat transfer in a circular tube with aluminum and Cr-Ni alloy pins using artificial neural network
Yazarlar (3)
Prof. Dr. Adnan Berber Selçuk Üniversitesi, Türkiye
Doç. Dr. Mehmet GÜRDAL Kastamonu Üniversitesi, Türkiye
Kazım Bağırsakçı Mechanical Engineer, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Experimental Heat Transfer (Q2) | ||
| Dergi ISSN | 0891-6152 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2021 |
| Kabul Tarihi | 06-07-2020 | Yayınlanma Tarihi | 21-07-2020 |
| Cilt / Sayı / Sayfa | 34 / 1 / 1–17 | DOI | 10.1080/08916152.2020.1793826 |
| Makale Linki | https://www.tandfonline.com/doi/full/10.1080/08916152.2020.1793826 | ||
| UAK Araştırma Alanları |
Termodinamik
Isı Transferi
Akışkanlar Mekaniği
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| 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 |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 33 |
| Scopus | 26 |
| Google Scholar | 38 |