id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-20203	Yang, Yangyang; Wang, Zhan	Prediction of Heat Transfer Coefficient of Two Phase Flow Sodium Reactor Based on Artificial Neural Network	2024	9	.pdf	application/pdf	5884	287	52	Parameters range parameter Minimum value Maximum value Re 0.1 776.06 Pr 0.1 250 Nu 1 77 By comparing the data results of expected value and predicted value, it can be found that the variation error of the curve of expected value and predicted value of heat transfer parameters of sodium reactor steam generator is very small and almost in the same trend. [3] established the governing equation of reactor steam generator based on the correlation characteristics of two-phase flow variable density model, in which the system density changes periodically due to the mixing of steam and water states.	cache/ajst-20203.pdf	txt/ajst-20203.txt