Optimal design of blade in pump as turbine based on multidisciplinary feasible method.

Sen-Chun, Miao; Hong-Biao, Zhang; Ting-Ting, Wang; Xiao-Hui, Wang; Feng-Xia, Shi

Sen-Chun, Miao; Hong-Biao, Zhang; Ting-Ting, Wang; Xiao-Hui, Wang; Feng-Xia, Shi.

Affiliation

Sen-Chun M; Lanzhou University of Technology, Lanzhou, Gansu, China.
Hong-Biao Z; Lanzhou University of Technology, Lanzhou, Gansu, China.
Ting-Ting W; College of Technology and Engineering, LUT, Lanzhou, China.
Xiao-Hui W; Lanzhou University of Technology, Lanzhou, Gansu, China.
Feng-Xia S; Lanzhou University of Technology, Lanzhou, Gansu, China.

Sci Prog ; 103(4): 36850420982105, 2020.

Article in En | MEDLINE | ID: mdl-33350339

Subject(s)

Heart-Assist Devices; Research Design; Algorithms; Neural Networks, Computer; Surgical Instruments

Key words

Pump as turbine; genetic algorithm; multidisciplinary; neural network; optimization; parameterization

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Research Design / Heart-Assist Devices Type of study: Prognostic_studies Language: En Journal: Sci Prog Year: 2020 Document type: Article Affiliation country: China Country of publication: United kingdom

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