Application of machine learning techniques in operating parameters prediction of Stirling cryocooler-Reference-Cited by-同舟云学术

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Application of machine learning techniques in operating parameters prediction of Stirling cryocooler

Published:2021-01 Issue: Volume:113 Page:103213
ISSN:0011-2275
Container-title:Cryogenics
language:en
Short-container-title:Cryogenics

Author:

Yang Zhiming,Liu Shaoshuai,Li Zhengtao,Jiang Zhenghua,Dong Caiqian

Funder

Aeronautical Science Foundation of China

Natural Science Foundation of Shanghai

China Postdoctoral Science Foundation

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

General Physics and Astronomy,General Materials Science

Reference48 articles.

1. Review of the Oxford Cryocooler;Davey;Adv Cryog Eng,1990

2. Pneumatically driven split-Cycle cryogenic refrigerator;Horn;Adv Cryog Eng,1974

3. Performance of the Oxford miniature Stirling cycle refrigerator[M]//Advances in cryogenic engineering;Bradshaw,1986

4. Schmidt theory for Stirling engines;Hirata,1997

5. Thermodynamic analysis of Stirling engines;Finkelstein;J Spacecraft Rockets,1967

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