中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Performance optimization of a neon turboexpander based on the Kriging model and genetic algorithm

文献类型:期刊论文

作者Zhang, Zhihang; Chang, Zhengze; Ma, Changcheng; Huo, Yi; Ge, Rui
刊名CRYOGENICS
出版日期2024
卷号143页码:103938
ISSN号0011-2275
DOI10.1016/j.cryogenics.2024.103938
文献子类Article
电子版国际标准刊号1879-2235
WOS记录号WOS:001305621400001
源URL[https://ir.ihep.ac.cn/handle/311005/306658]  
专题高能物理研究所_加速器中心
推荐引用方式
GB/T 7714
Zhang, Zhihang,Chang, Zhengze,Ma, Changcheng,et al. Performance optimization of a neon turboexpander based on the Kriging model and genetic algorithm[J]. CRYOGENICS,2024,143:103938.
APA Zhang, Zhihang,Chang, Zhengze,Ma, Changcheng,Huo, Yi,&Ge, Rui.(2024).Performance optimization of a neon turboexpander based on the Kriging model and genetic algorithm.CRYOGENICS,143,103938.
MLA Zhang, Zhihang,et al."Performance optimization of a neon turboexpander based on the Kriging model and genetic algorithm".CRYOGENICS 143(2024):103938.

入库方式: OAI收割

来源:高能物理研究所

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