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,
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author = "S. H. Hosseini and M. A. Moradkhani and
M. Valizadeh and Alireza Zendehboudi and M. Olazar",
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title = "A general heat transfer correlation for flow
condensation in single port mini and macro channels
using genetic programming",
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journal = "International Journal of Refrigeration",
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volume = "119",
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pages = "376--389",
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year = "2020",
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ISSN = "0140-7007",
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DOI = "doi:10.1016/j.ijrefrig.2020.06.021",
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URL = "http://www.sciencedirect.com/science/article/pii/S0140700720302760",
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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",
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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