𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Investigation of empirical correlations on the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube using artificial intelligence algorithms

✍ Scribed by Muhammet Balcılar; Ahmet Selim Dalkılıç; Berna Bolat; Somchai Wongwises

Book ID
107625234
Publisher
Springer-Verlag
Year
2011
Tongue
English
Weight
755 KB
Volume
25
Category
Article
ISSN
1738-494X

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Artificial neural network techniques for
Artificial neural network techniques for the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube
✍ M. Balcilar; A.S. Dalkilic; S. Wongwises 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 984 KB

In this study, the best artificial intelligence method is investigated to estimate the measured convective heat transfer coefficient and pressure drop of R134a flowing downward inside a vertical smooth copper tube having an inner diameter of 8.1 mm and a length of 500 mm during annular flow numerica

Experimental investigation of heat trans
Experimental investigation of heat transfer coefficient of R134a during condensation in vertical downward flow at high mass flux in a smooth tube
✍ A.S. Dalkilic; S. Laohalertdecha; S. Wongwises 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 916 KB

The two-phase heat transfer coefficients of pure HFC-134a condensing inside a smooth tube-in-tube heat exchanger are experimentally investigated. The test section is a 0.5 m long double tube with refrigerant flowing in the inner tube and cooling water flowing in the annulus. The inner tube is constr