氦低温系统关键参数及流程优化研究进展  

Research Progress of Key Parameters and Process Optimization in Helium Cryogenic System

作　　者：秦海玲 周刚[1,2] 刘立强 QIN Hailing;ZHOU Gang;LIU Liqiang(Key Laboratory of Cryogenic Science and Technology,Technical Institute of Physics and Chemistry,Chinese Academy of Science,Beijing 100190,China;University of Chinese Academy of Science,Beijing 100049,China)

机构地区：[1]中国科学院理化技术研究所低温科学与技术重点实验室,北京100190 [2]中国科学院大学,北京100049

出　　处：《低温与特气》2024年第4期20-25,共6页Low Temperature and Specialty Gases

基　　金：低温科学与技术重点实验室开放研究课题项目(SKLTSCP1803)。

摘　　要：氦低温系统应用于极低温技术领域,高效节能的氦低温系统将极大推动低温超导技术的发展。因此,研究系统中主要部件对其性能的影响、针对系统中主要热力学参数进行遗传算法优化,对提高系统制冷效率和经济效益以及保持其长期运行的稳定性十分重要。基于此,对国内外氦低温系统主要影响部件膨胀机和换热器的关键参数以及[火用]分析和遗传算法优化进行了梳理分析,总结了现存技术难点和发展趋势。Helium cryogenic system is applied in the field of ultra-low temperature technology.The high-efficiency and energy-saving helium cryogenic system will greatly promote the development of cryogenic superconducting technology.Therefore,it is significant to study the influence of the main components and optimize the genetic algorithm for the main thermodynamic parameters in the system,for improving the refrigeration efficiency and economic benefits and maintaining the stability of the long-term operation.The key parameters affecting the expander and heat exchanger of helium cryogenic system at home and abroad,exergy analysis and genetic algorithm optimization research were reviewed.The existing technical difficulties and development trends were summarized.

关 键 词：氦低温系统 热力学参数 [火用]分析 遗传算法 优化 

分 类 号：TK111[动力工程及工程热物理—热能工程]