globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:5595909
论文题名:
基于遗传算法的氦液化循环的优化
其他题名: Optimization of helium liquefaction cycle based on genetic algorithm
作者: 王慧荣; 熊联友; 蒙彦榕; 刘立强
刊名: 低温工程
ISSN: 1000-6516
出版年: 2015
期: 6, 页码:21-25
语种: 中文
中文关键词: 氦液化 ; 遗传算法 ; 经济效益
英文关键词: process optimization ; genetic algorithm ; economic benefits
WOS学科分类: ENGINEERING INDUSTRIAL
WOS研究方向: Engineering
中文摘要: 为简化大型氦液化流程的优化过程,采用遗传算法,以液化率为目标,针对带液氮预冷的柯林斯(Collins)氦液化循环进行了优化。优化结果表明,利用遗传算法(GA)可以在给定的优化参数的范围内进行全局寻优,证明了遗传算法在流程设计过程中具有重要的预优化作用。此外还得出了换热器最小允许温差与液化率的关系曲线。
英文摘要: In order to simplify the optimization and analysis of the large helium liquefaction cycle,genetic algorithm(GA) was adopted in characteristics optimization Collins helium liquefaction cycle with nitrogen pre-cooling,the global solution was searched given parameter to get the maximum liquefaction rate. GA is proved to be applicable for optimization of the cryogenic process. The relation curve of liguefaction rate and temperature difference in heat exchanger hot end was plotted,which shows a decreased liguefaction rate with increasing the temperature difference.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/156841
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: 中国科学院理化技术研究所, 北京 100190, 中国

Recommended Citation:
王慧荣,熊联友,蒙彦榕,等. 基于遗传算法的氦液化循环的优化[J]. 低温工程,2015-01-01(6):21-25
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[王慧荣]'s Articles
[熊联友]'s Articles
[蒙彦榕]'s Articles
百度学术
Similar articles in Baidu Scholar
[王慧荣]'s Articles
[熊联友]'s Articles
[蒙彦榕]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[王慧荣]‘s Articles
[熊联友]‘s Articles
[蒙彦榕]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.