Prediction of R1234yf flow boiling behavior in horizontal, vertical, and inclined tubes using machine learning techniques

Prediction of R1234yf flow boiling behavior in horizontal, vertical, and inclined tubes using machine learning techniques

In the present study, the utilization of machine learning algorithms (MLAs) is proposed for the prediction of the heat transfer coefficient and pressure drop in horizontal, vertical, and inclined tubes during flow boiling of R1234yf. A total of 339 experimental data points sourced from the literatur...

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Bibliographic Details
Main Authors: Farzaneh Abolhasani, Behrang Sajadi, Mohammad Ali Akhavan-Behabadi
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:International Journal of Thermofluids
Subjects:
Machine learning algorithms
Flow boiling
Heat transfer coefficient
Pressure drop
R1234yf
Online Access:http://www.sciencedirect.com/science/article/pii/S2666202725001661
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http://www.sciencedirect.com/science/article/pii/S2666202725001661

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