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Machine learning in flow boiling: predicting bubble lift-off diameter despite data limitations

Atta Heydarpour TABRIZI, Mousa MOHAMMADPOURFARD, Mostafa MOHAMMADPOURFARD
Journal of Thermal Engineering · Papers
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predictive-model
This study concentrates on applying machine learning techniques to flow boiling in order to predict the bubble lift-off diameter. This prediction is critical because the diameter plays a key role in understanding boiling dynamics and calculating heat transfer rates. Additionally, accurately predicti
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