Predictions of temperature distributions on layered metal plates using artificial neural networks
ENERGY CONVERSION AND MANAGEMENT, cilt.47, ss.2361-2370, 2006 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 47
- Basım Tarihi: 2006
- Doi Numarası: 10.1016/j.enconman.2005.11.023
- Dergi Adı: ENERGY CONVERSION AND MANAGEMENT
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.2361-2370
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Hayır
Özet
The temperature distribution influences the amount of energy needed to heat a body. The benefits of using multi-layered metal plates (NIMP) are due to the requirement of a regular temperature distribution on the opposite side with one side heated irregularly. The factors that affect the regular distribution of the temperature in such a structure are the thickness of the layers and the materials themselves, since for different materials, heat conduction coefficients, density and specific heat values change.