Multi-objective Optimization on Helium Liquefier Using Genetic Algorithm

26th International Cryogenic Engineering Conference & International Cryogenic Materials Conference 2016

材料科学;物理学

Wang, H.R.^1,2 ; Xiong, L.Y.^1,3,4 ; Peng, N.^1,3,4 ; Meng, Y.R.^1,2 ; Liu, L.Q.^1,3,4

Technical Institute of Physics and Chemistry, CAS, Beijing

100190, China^1

University of Chinese Academy of Science, Beijing

100190, China^2

Key Laboratory of TIPC, CAS, 100190, China^3

State Key Laboratory of Technologies in Space Cryogenic Propellants, 100190, China^4

关键词: Chinese Academy of Sciences;    Future designs;    Guiding significances;    Institute of Physics;    Optimized system;    Pre-cooling;    Single objective;    Steady solution;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/171/1/012022/pdf
DOI  :  10.1088/1757-899X/171/1/012022

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Research on optimization of helium liquefier is limited at home and abroad, and most of the optimization is single-objective based on Collins cycle. In this paper, a multi-objective optimization is conducted using genetic algorithm (GA) on the 40 L/h helium liquefier developed by Technical Institute of Physics and Chemistry of the Chinese Academy of Science (TIPC, CAS), steady solutions are obtained in the end. In addition, the exergy loss of the optimized system is studied in the case of with and without liquid nitrogen pre-cooling. The results have guiding significance for the future design of large helium liquefier.