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Frontiers in Energy

Front. Energy    2008, Vol. 2 Issue (1) : 93-98     https://doi.org/10.1007/s11708-008-0007-4
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Aerodynamic design by jointly applying S2 flow surface calculation and modern optimization methods on multistage axial turbine
ZHAO Honglei, WANG Songtao, HAN Wanjin, FENG Guotai
Academy of Energy Science and Engineering, Harbin Institute of Technology
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Abstract A three-stage axial turbine was redesigned by jointly applying S2 flow surface direct problem calculation methods and multistage local optimization methods. A genetic algorithm and artificial neural network were jointly adopted during optimization. A three-dimensional viscosity Navier–Stokes equation solver was applied for flow computation. H-O-H-topology grid was adopted as computation grid, that is, an H-topology grid was adopted for inlet and outlet segment, whereas an O-topology grid was adopted for stator zone and rotor zone. Through the optimization design, the total efficiency increases 1.1%, thus indicating that the total performance is improved and the design objective is achieved.
Issue Date: 05 March 2008
 Cite this article:   
WANG Songtao,ZHAO Honglei,HAN Wanjin, et al. Aerodynamic design by jointly applying S2 flow surface calculation and modern optimization methods on multistage axial turbine[J]. Front. Energy, 2008, 2(1): 93-98.
 URL:  
http://journal.hep.com.cn/fie/EN/10.1007/s11708-008-0007-4
http://journal.hep.com.cn/fie/EN/Y2008/V2/I1/93
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WANG Songtao
ZHAO Honglei
HAN Wanjin
FENG Guotai
1 Shahpar S A comparativestudy of optimization on methods for aerodynamic design of turbomachinerybladesProceedings of ASME Turbo Expo 2000,2000-GT-523 2000
2 Vanderplaats G N NumericalOptimization Techniques for Engineering DesignNew YorkMcGraw-Hill 1984
3 Goldberg D E GeneticAlgorithms in Search, Optimization, and Machine LearningBostonAddisonWesley Professional 1989
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