A correlation development for predicting the pressure drop of various refrigerants during condensation and evaporation in horizontal smooth and micro-fin tubes

Author:

Balcilar M.,Dalkilic A.S.,Agra O.,Atayilmaz S.O.,Wongwises S.

Publisher

Elsevier BV

Subject

Condensed Matter Physics,General Chemical Engineering,Atomic and Molecular Physics, and Optics

Reference10 articles.

1. Artificial neural network (ANN) techniques for the determination of condensation heat transfer characteristics during downward annular flow of R134a inside a vertical smooth tube;Balcilar;International Communications in Heat and Mass Transfer,2011

2. Determination of condensation heat transfer characteristics of R134a by means of artificial intelligence method;Balcilar,2010

3. Investigation of empirical correlations on the determination of condensation heat transfer characteristics using computational numerical methods during downward annular flow of R134a inside a vertical smooth tube;Balcilar;Journal of Mechanical Science and Technology,2011

4. Optimization of the relationship between the two-phase friction factor and Reynolds equivalent number model by the means of Genetic Algorithm;Bolat,2011

5. Numerical investigation on the single phase forced convection heat transfer characteristics of TiO2 nanofluids in a double-tube counter flow heat exchanger;Demir;International Communications in Heat and Mass Transfer,2011

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