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发动机零部件稳态应力计算的状态函数法
作者姓名:XU Quan-yong  HOU An-ping  XIONG Jin-song  ZHOU Sheng
作者单位:National Key Laboratory on Aero-engines, School of Jet Propulsion, BeijingUniversity of Aeronautics and Astronautics, Beijing, 100083
摘    要:An opti mization process is used to redesign blades of a high-pressure compressor.An artificial neural network (ANN) method is coupled to Navier-Stokes solvers and is applied to three different redesigns.A newrotor blade of a transonic compressor is designed by modifying thick, stacking line andinlet angle using a 3Dapproach, with a significant efficiencyi mprovement at the design point.The off-design behavior of this new compressor is also checked afterwards, which shows that the whole performance of the inlet stage is improved over a wide range of mass flow.The losses are reduced, proving the good performance of the opti mum.The whole results indicate that the opti mization method can find i mproved design and can be integrated in a design procedure. 

关 键 词:aerospace  propulsion  system    high  pressure  compressor    numerical  opti  mization    blade  row  match    artificial  neural  network
文章编号:1000-8055(2007)08-1356-09
收稿时间:2006-10-16
修稿时间:2006年10月16

Numerical analysis and optimization of the inlet stage of a multi-stage high pressure compressor
XU Quan-yong,HOU An-ping,XIONG Jin-song,ZHOU Sheng.Numerical analysis and optimization of the inlet stage of a multi-stage high pressure compressor[J].Journal of Aerospace Power,2007,22(8):1356-1364.
Authors:XU Quan-yong  HOU An-ping  XIONG Jin-song and ZHOU Sheng
Institution:National Key Laboratory on Aero-engines, School of Jet Propulsion, BeijingUniversity of Aeronautics and Astronautics, Beijing, 100083
Abstract:An optimization process is used to redesign blades of a high-pressure compressor. An artificial neural network (ANN) method is coupled to Navier-Stokes solvers and is applied to three different redesigns. A new rotor blade of a transonic compressor is designed by modifying thick, stacking line and inlet angle using a 3D approach, with a significant efficiency improvement at the design point. The off-design behavior of this new compressor is also checked afterwards, which shows that the whole performance of the inlet stage is improved over a wide range of mass flow. The losses are reduced, proving the good performance of the optimum. The whole results indicate that the optimization method can find improved design and can be integrated in a design procedure.
Keywords:aerospace propulsion system  high pressure compressor  numerical optimization  blade row match  artificial neural network  compressor  high pressure  stage  inlet  optimization  analysis  results  find  integrated  procedure  proving  good  the optimum  losses  performance  improved  wide  range  mass  flow
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