Affiliation of Author(s):能源与动力学院
Journal:Hangkong Dongli Xuebao
Abstract:The automatic optimization method was applied to 3-D aerodynamic design of a high bypass ratio fan blade. A genetic algorithm was used as numerical optimization method, and multi-CPU parallel optimization was realized by using network communication protocol to greatly shorten the optimization time. The fan blade profiles, stack line, the flow passage in meridian plane, installation angle and chord length were set as design variables. The parameterization method based on modifications to these design variables was combined with the range limit of the design variables in the genetic algorithm, and it controlled and rationalized the individuals generated in optimization process.Denton's viscous volume force method was applied to flow field calculation of the fans, decreasing the calculation time and further reducing the optimization time. The optimization goal was set to improve the fan efficiency and keep total pressure ratio and mass flow rate unchanged at the design point, and the optimized fan's performance at off-design points was checked. The original fan was optimized in two steps, in which the design parameters were adjusted according to aerodynamic characteristics of the fan to be optimized. The final optimized fan's efficiency increased from 0.9463 to 0.9560, and stability margin increased from 11.2% to 21.9%. Mach number of shock wave at blade tip section of the final optimized fan decreased slightly, and the shock wave leaned to the blade passages. Therefore, loss of the shock wave and its effect on boundary layer decreasd, and the stability margin increased. © 2017, Editorial Department of Journal of Aerospace Power. All right reserved.
ISSN No.:1000-8055
Translation or Not:no
Date of Publication:2017-01-01
Co-author:Zhang, Jin-Huan,Zhou, Xu
Correspondence Author:Zhou Zhenggui
Professor
Supervisor of Doctorate Candidates
Gender:Male
Education Level:南京航空航天大学
Degree:Doctoral Degree in Engineering
School/Department:College of Energy and Power Engineering
Discipline:Aerospace Propulsion Theory and Engineering. Fluid Machinery and Engineering
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