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Numerical design optimization of compressor blade based on ADOP
Authors:JIN Dong-hai and GUI Xing-min
Institution:School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Abstract:An aerodynamic design optimization platform (ADOP) has been developed. The numerical optimization method is based on genetic algorithm (GA), Pareto ranking and fitness sharing technique. The platform was used for design optimization of the stator of an advanced transonic stage to seek high adiabatic efficiency. The compressor stage efficiency is increased by 0.502% at optimal point and the stall margin is enlarged by nearly 1.0% at design rotating speed. The flow fields of the transonic stage were simulated with FINE/Turbo software package. The optimization result indicates that the optimization platform is effective in 3D numerical design optimization problems.
Keywords:compressor  genetic algorithm(GA)  optimization  based  blade  compressor  design optimization  result  effective  numerical  problems  Turbo  software package  flow fields  simulated  FINE  speed  optimal  point  margin  nearly  stage efficiency  increased
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