Application of machine learning to the prediction of the boiling heat transfer coefficient of R32 inside a multiport mini-channel tube

• Main Authors: Agustiarini, Nurlaily, Hoang, Hieu Ngoc, Oh, Jong Taek, Mohd. Ghazali, Normah
• Format: Article
• Published: Springer Science and Business Media B.V. 2023
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/104847/; http://dx.doi.org/10.1007/s10973-022-11602-2

The possibility of using machine learning to predict the heat transfer coefficient is becoming more evident. In fact, artificial neural networks (ANN) are widely used in heat transfer coefficient research. In this study, an ANN was used in the dataset training and testing of the boiling heat transfe...