Model predictive control of long Transfer-line cooling process based on Back-Propagation neural network

Author:

Chang Zheng-zeORCID,Li Mei,Zhu Ke-yu,Sun Liang-rui,Ye Rui,Sang Min-jing,Han Rui-xiong,Jiang Yong-cheng,Li Shao-peng,Zhou Jian-rong,Ge Rui

Funder

State Key Laboratory of Technologies in Space Cryogenic Propellants

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference24 articles.

1. An experimental study on terrestrial cryogenic transfer line chilldown I. Effect of mass flux, equilibrium quality, and inlet subcooling;Darr;Int. J. Heat Mass Transf.,2016

2. Analytical and numerical investigation of cryogenic transfer line chill down;Hedayatpour;26th Joint Propulsion Conference.,1990

3. Experimental investigation on the effect of geometry on cryogenic transfer line chill down;Mohammed;J. Phys. Conf. Ser. IOP Publishing,2019

4. Development of Universal Two-Phase Heat Transfer Correlations for Cryogenic Transfer Line Chill down;Hartwig;55th AIAA Aerospace Sciences Meeting.,2017

5. An advance in transfer line chilldown heat transfer of cryogenic propellants in microgravity using microfilm coating for enabling deep space exploration;Chung;npj Microgravity,2021

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