|
|
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 |
|
|
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
|
|
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
|
4 |
Demeulenaere A Ligout A Hirsch C Application of multipoint optimization to the design ofturbomachinery bladesProceedings of ASMETurbo Expo 2004, GT2004-53110 2004
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|