Prediction of Heat Transfer Coefficients by Ann for Aluminum Steel Material
Yazarlar (2)
Doç. Dr. İlker Mert Osmaniye Korkut Ata Üniversitesi, Türkiye
Prof. Dr. Hüseyin Turan ARAT İskenderun Teknik Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (Diğer hakemli uluslarası dergilerde yayınlanan tam makale) | ||
| Dergi Adı | International Journal of Scientific Knowledge | ||
| Dergi ISSN | 2305-1493 | ||
| Makale Dili | İngilizce | Basım Tarihi | 06-2014 |
| Cilt / Sayı / Sayfa | 5 / 2 / 53–62 | DOI | – |
| UAK Araştırma Alanları |
Enerji
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| Özet |
| The engineering properties of the metals are affecting efficiency of heat transfer processes in heat exchangers which mainly used in heating, refrigeration, air conditioning, power plants, chemical plants, petrochemical plants, petroleum refineries, and natural gas processing. Therefore, selection the material types are very important for heat exchangers manufacturing. Heat exchangers can be commonly made of steel, copper, bronze, stainless steel, aluminum, or cast iron. In heat exchangers applications, the heat transfer rate and coefficients plays an critical role while producing and manufacturing. This paper presents the experimental results of heat transfer data for the same rectangular cross-section aluminum and steel plates and heat transfer coefficient predictions of these materials done by using Artificial Neural Network (ANN) based on the experimental data. |
| Anahtar Kelimeler |
