Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces

The boiling heat transfer performance of porous surfaces greatly depends on the morphological parameters, liquid thermophysical properties, and pool boiling conditions. Hence, to develop a predictive model valid for diverse working fluids, it is necessary to incorporate the effects of the most influ...

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Auteurs principaux:	Uzair Sajjad, Imtiyaz Hussain, Muhammad Sultan, Sadaf Mehdi, Chi-Chuan Wang, Kashif Rasool, Sayed M. Saleh, Ashraf Y. Elnaggar, Enas E. Hussein
Format:	article
Langue:	EN
Publié:	MDPI AG 2021
Sujets:	pool boiling heat transfer coefficient sintered coated porous surfaces deep neural network Bayesian optimization gaussian process gradient boosting regression trees Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Accès en ligne:	https://doaj.org/article/f01d0689aa4e446a9ef61fe1e12c516e
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Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces

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