A general heat transfer correlation for flow condensation in single port mini and macro channels using genetic programming

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@Article{HOSSEINI:2020:IJR,

• author = "S. H. Hosseini and M. A. Moradkhani and M. Valizadeh and Alireza Zendehboudi and M. Olazar",
• title = "A general heat transfer correlation for flow condensation in single port mini and macro channels using genetic programming",
• journal = "International Journal of Refrigeration",
• volume = "119",
• pages = "376--389",
• year = "2020",
• ISSN = "0140-7007",
• DOI = "doi:10.1016/j.ijrefrig.2020.06.021",
• URL = "http://www.sciencedirect.com/science/article/pii/S0140700720302760",
• keywords = "genetic algorithms, genetic programming, Two-phase flow, Mini channel, Heat transfer coefficient, Condensation, Programmation genetique, Ecoulement diphasique, Mini-canal, Coefficient de transfert de chaleur, Condensation",
• abstract = "A new general explicit correlation is proposed to predict the heat transfer coefficient of fluids condensing in conventional and mini channels. The expression has been developed by correlating the Numix number with Remix, Prmix, phase density ratio, Pres, WeGT, and FrL using genetic programming for the two-phase flow. The model has been validated with a big dataset consisting of 6521 data samples, covering a wide range of fluids used in refrigeration and heat pump industries, cross-sectional geometries (different diameters), mass fluxes, and saturation temperatures. The new generalized correlation fits the wide range of data points used with an average relative error of 17.82 percent. The same database has been used to compare predictions of eight correlations available in the literature, but they failed to give a reasonable estimation of the present experimental results",

}

Genetic Programming entries for Seyyed Hossein Hosseini Mohammad Amin Moradkhani Mohammadreza Valizadeh Alireza Zendehboudi Martin Olazar Aurrekoetxea

Citations