Robust and General Model to Forecast the Heat Transfer Coefficient for Flow Condensation in Multi Port Mini/Micro-Channels
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- @Article{hosseini:2022:Processes,
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author = "Seyyed Hossein Hosseini and Mohamed Arselene Ayari and
Amith Khandakar and Mohammad Amin Moradkhani and
Mehdi Jowkar and Mohammad Panahi and Goodarz Ahmadi and
Jafar Tavoosi",
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title = "Robust and General Model to Forecast the Heat Transfer
Coefficient for Flow Condensation in Multi Port
{Mini/Micro-Channels}",
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journal = "Processes",
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year = "2022",
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volume = "10",
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number = "2",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2227-9717",
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URL = "https://www.mdpi.com/2227-9717/10/2/243",
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DOI = "doi:10.3390/pr10020243",
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abstract = "A general correlation for predicting the two-phase
heat transfer coefficient (HTC) during condensation
inside multi-port mini/micro-channels was presented.
The model was obtained by correlating the two-phase
multiplier, φtp with affecting parameters using the
genetic programming (GP) method. An extensive database
containing 3503 experimental data samples was gathered
from 21 different sources, including a broad range of
operating parameters. The newly obtained correlation
fits the broad range of measured data analysed with an
average absolute relative deviation (AARD) of
16.87percent and estimates 84.73percent of analysed
data points with a relative error of less than
30percent. Evaluation of previous correlations was also
conducted using the same database. They showed the AARD
values ranging from 36.94percent to 191.19percent.
However, the GP model provides more accurate results,
AARD lower than 17percent, by considering the surface
tension effects. Finally, the effect of various
operating parameters on the HTC was studied using the
proposed correlation.",
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notes = "also known as \cite{pr10020243}",
- }
Genetic Programming entries for
Seyyed Hossein Hosseini
Mohamed Arselene Ayari
Amith Abdullah Khandakar
Mohammad Amin Moradkhani
Mehdi Jowkar
Mohammad Panahi
Goodarz Ahmadi
Jafar Tavoosi
Citations