Investigation of boiling heat transfer coefficients of different refrigerants for low fin, Turbo-B and Thermoexcel-E enhanced tubes using computational smart schemes

The design and manufacture of highly efficient evaporators and heat exchangers in cooling machinery need an accurate estimation of the boiling heat transfer coefficient of the refrigerants. In the present study, the boiling heat transfer coefficients of different refrigerants were predicted using machine learning methods and were compared to the existing empirical correlations. For this purpose, four models of ANN, ANFIS, ELM and SVM were...