Saturated flow boiling inside conventional and mini/micro channels: A new general model for frictional pressure drop using genetic programming
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- @Article{MORADKHANI:2021:IJR,
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author = "M. A. Moradkhani and S. H. Hosseini and
P. Morshedi and M. Rahimi and Song Mengjie",
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title = "Saturated flow boiling inside conventional and
mini/micro channels: A new general model for frictional
pressure drop using genetic programming",
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journal = "International Journal of Refrigeration",
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volume = "132",
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pages = "197--212",
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year = "2021",
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ISSN = "0140-7007",
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DOI = "doi:10.1016/j.ijrefrig.2021.09.022",
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URL = "https://www.sciencedirect.com/science/article/pii/S0140700721003807",
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keywords = "genetic algorithms, genetic programming, Saturated
flow boiling, Conventional and mini/micro channels,
Frictional pressure drop, Two-phase flow, Programmation
genetique, Ebullition en ecoulement sature, Canaux
conventionnels et mini/micro-canaux, Chute de pression
frictionnelle, Ecoulement diphasique",
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abstract = "This study presents a general explicit model for
estimating the saturated flow boiling frictional
pressure drop (FPD) in conventional (macro) and
mini/micro channels heat exchangers. An extensive
database including 6021 experimental data samples has
been gathered from 42 published sources, covering a
broad range of fluids, channel diameters and operating
parameters. The new model is based on the separated
model suggested by Lockhart and Martinelli (1949) for
two-phase flow. Thus, the two-phase multiplier, ?lo2
has been estimated using the intelligent approach of
genetic programming (GP). The presented model predicts
the mentioned database with a reasonable value of
average absolute relative deviation (AARD) of
21.34percent. Moreover, 74.85percent of predicted data
have an error of lower than 30percent of the
experimental values. The entire database is compared
with ten well-known two-phase pressure drop
correlations for the evaluation of previous models. But
all of them showed a total AARD of more than 27percent.
The GP model shows good accuracy for both conventional
and mini/micro channels and different flow regimes,
including low and high Reynolds numbers. In addition,
it is applicable for estimating the boiling FPD in
different operating conditions. Based on 752 additional
data from 4 independent sources, the new model provides
the best predictions for estimating the FPD in
conventional and mini/micro channels",
- }
Genetic Programming entries for
Mohammad Amin Moradkhani
Seyyed Hossein Hosseini
P Morshedi
M Rahimi
Song Mengjie
Citations