Optimization of twisted blade of pump as turbine based on high dimensional surrogate model
In order to improve the operation efficiency of the twisted blade pump as turbine (PAT), a medium specific speed PAT was selected as the research object. The variables of the twisted blade plane blade profile were defined, the twisted blade was transformed into three plane blade profiles, and the blade profiles were parameterized by MATLAB 9.7 software. MATLAB 9.7, CFturbo 2020 and Fluent 19.2 were used to build the support vector machine-high dimensional model representation (SVM-HDMR) surrogate model function for efficiency optimization of PAT. Genetic algorithm was run on MATLAB 9.7 to optimize the surrogate model function, and the optimized blade profiles were fed back. The optimization results were verified by numerical simulation and experiment. The results show that the simulation efficiency of the PAT after optimization at the design operating point is 3.51% higher than the efficiency of the PAT before optimization, and the output power is increased by 5.3%. The test efficiency of the PAT after optimization at the design operating point is 3.4% higher than the efficiency of the PAT before optimization, and the output power is increased by 5.1%.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:104 |
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| Enthalten in: |
Science progress - 104(2021), 4 vom: 23. Okt., Seite 368504211059050 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Jiang, Bingxiao [VerfasserIn] |
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| Links: |
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| Themen: |
Blade profile |
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| Anmerkungen: |
Date Revised 10.08.2023 published: Print Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1177/00368504211059050 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM333493907 |
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| 100 | 1 | |a Jiang, Bingxiao |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Optimization of twisted blade of pump as turbine based on high dimensional surrogate model |
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| 500 | |a Date Revised 10.08.2023 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a In order to improve the operation efficiency of the twisted blade pump as turbine (PAT), a medium specific speed PAT was selected as the research object. The variables of the twisted blade plane blade profile were defined, the twisted blade was transformed into three plane blade profiles, and the blade profiles were parameterized by MATLAB 9.7 software. MATLAB 9.7, CFturbo 2020 and Fluent 19.2 were used to build the support vector machine-high dimensional model representation (SVM-HDMR) surrogate model function for efficiency optimization of PAT. Genetic algorithm was run on MATLAB 9.7 to optimize the surrogate model function, and the optimized blade profiles were fed back. The optimization results were verified by numerical simulation and experiment. The results show that the simulation efficiency of the PAT after optimization at the design operating point is 3.51% higher than the efficiency of the PAT before optimization, and the output power is increased by 5.3%. The test efficiency of the PAT after optimization at the design operating point is 3.4% higher than the efficiency of the PAT before optimization, and the output power is increased by 5.1% | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a blade profile | |
| 650 | 4 | |a genetic algorithm | |
| 650 | 4 | |a high dimensional model representation | |
| 650 | 4 | |a pump as turbine | |
| 650 | 4 | |a support vector machine | |
| 650 | 4 | |a surrogate model | |
| 650 | 4 | |a twisted blade | |
| 700 | 1 | |a Yang, Junhu |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Xiaohui |e verfasserin |4 aut | |
| 700 | 1 | |a Shi, Fengxia |e verfasserin |4 aut | |
| 700 | 1 | |a Bai, Xiaobang |e verfasserin |4 aut | |
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