期刊文献+

AERODYNAMIC OPTIMIZATION DESIGN OF LOW ASPECT RATIO TRANSONIC TURBINE STAGE 被引量:2

AERODYNAMIC OPTIMIZATION DESIGN OF LOW ASPECT RATIO TRANSONIC TURBINE STAGE
下载PDF
导出
摘要 The advanced optimization method named as adaptive range differential evolution (ARDE) is developed. The optimization performance of ARDE is demonstrated using a typical mathematical test and compared with the standard genetic algorithm and differential evolution. Combined with parallel ARDE, surface modeling method and Navier-Stokes solution, a new automatic aerodynamic optimization method is presented. A low aspect ratio transonic turbine stage is optimized for the maximization of the isentropic efficiency with forty-one design variables in total. The coarse-grained parallel strategy is applied to accelerate the design process using 15 CPUs. The isentropic efficiency of the optimum design is 1.6% higher than that of the reference design. The aerodynamic performance of the optimal design is much better than that of the reference design. The advanced optimization method named as adaptive range differential evolution (ARDE) is developed. The optimization performance of ARDE is demonstrated using a typical mathematical test and compared with the standard genetic algorithm and differential evolution. Combined with parallel ARDE, surface modeling method and Navier-Stokes solution, a new automatic aerodynamic optimization method is presented. A low aspect ratio transonic turbine stage is optimized for the maximization of the isentropic efficiency with forty-one design variables in total. The coarse-grained parallel strategy is applied to accelerate the design process using 15 CPUs. The isentropic efficiency of the optimum design is 1.6% higher than that of the reference design. The aerodynamic performance of the optimal design is much better than that of the reference design.
出处 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2006年第4期500-504,共5页 中国机械工程学报(英文版)
基金 This project is supported by Advanced Propulsion Technologies Demonstration Program of Commission of Science Technology and Industry for National Defense of China(No.APTD-0602-04).
关键词 Turbine stage Adaptive range differential evolution (ARDE)Aerodynamic optimization Coarse-grained parallel strategy Turbine stage Adaptive range differential evolution (ARDE)Aerodynamic optimization Coarse-grained parallel strategy
  • 相关文献

参考文献9

  • 1MICHALEWICA Z.Genetic algorithms + data structures = evolution programs[M].Berline:Springer-Verlag,1996.
  • 2ERNESTO B.Three-dimensional multi-objective design optimization of a transonic compressor rotor[J].Journal of Propulsion and Power,2004,20(3):559-565.
  • 3LiJun,LiuLijun,FengZhenping.MULTIOBJECT OPTIMIZATION OF A CENTRIFUGAL IMPELLER USING EVOLUTIONARY ALGORITHMS[J].Chinese Journal of Mechanical Engineering,2004,17(3):389-393. 被引量:3
  • 4STORN R.Minimizing the real functions of the ICE2'96 contest by differential evolution[C]//IEEE Conference on Evolutionary Computation,Nagoya,1996:842-844.
  • 5HRSTKA O.A competitive comparison of different types of evolutionary algorithms[J].Computers & Structures,2003,81:1 979-1 990.
  • 6SONG Liming,FENG Zhenping,LI Jun.Shape optimization of turbine stage using adaptive range differential evolution and three-dimensional Navier-Stokes solver[G].ASME Paper 2005-GT-68280,2005:1 033-1 040.
  • 7LEE Changyong.Evolutionary optimization algorithm by entropy sampling[J].Physical Review E,1998,57(3):3 611-3 617.
  • 8KORAKIANITIS T.Surface-curvature-distribution effects on turbine-cascade performance[J].ASME Journal of Turbomachinery,1993,115(2):334-340.
  • 9DENTON J D.Loss mechanisms in turbomachines[J].ASME Journal of Turbomachinery,1993,115(4):621-631.

二级参考文献14

  • 1[1]Stewart T J.A critical survey on the status of multiple criteria decision making and practice.International Journal of Management Science,1992,20(5/6): 569~586
  • 2[2]Vanderplaats G N.Numerical Optimization Techniques for Engineering Design.New York: McGraw-Hill Book Company,1984
  • 3[3]Michalewica Z.Genetic Algorithms + Data Structures = Evolution Programs.Berline: Springer-Verlag,1996
  • 4[4]Miettinen K,Maekelae M,Neitlaanmaeki P,et al.Evolutionary Algorithms in Engineering and Computer Science.Chichester: John Wiley & Sons Ltd.,1999
  • 5[5]Vicini A,Quagliarella D.Inverse and direct airfoil design using a multiobjective genetic algorithm.Am.Inst.Aeronaut.Astronaut.J.,1997,35(9): 1 499~1 505
  • 6[6]Obayashi S,Tsukahara T,Nakamura T.Cascade airfoil design by multiobjective genetic algorithms.In: 2nd International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications,Glasgow,1997
  • 7[7]Oyama A,Liou M S.Multiobjective optimization of rocket engine pumps using evolutionary algorithm.In: CD-ROM Proceedings of Am.Inst.Aeronaut.Astronaut.CFD Conference,2001
  • 8[8]Oyama A,Liou M S.Multiobjective optimization of a multi-stage compressor using evolutionary algorithm.In: AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit,Indianapolis,Indiana,2002
  • 9[9]Goldberg D E.Genetic Algorithms in Search,Optimization and Machine Learning.Addison-Wesley publishing Company,Inc.,Reading,MA,1989
  • 10[10]Crossley W A,Cook A,Fanjoy D,et al.Using the two-branch tournament genetic algorithm for multiobjective design.Am.Inst.Aeronaut.Astronaut.J.,1999,37(2): 261~267

共引文献2

同被引文献28

  • 1曾蕴涛,张冬阳,刘建军,蒋洪德.实验轴流透平级设计及流场分析[J].工程热物理学报,2006,27(z1):173-176. 被引量:2
  • 2PETROVIC M V,DULIKRAVICH G S,MARTIN T J.Optimization of multistage turbine using a through-flow code[R].ASME Paper 2000-GT-521,2000.
  • 3OYAMA A,LIOU M S,OBAYASHI S.Transonic axial-flow blade shape optimization using evolutionary algorithm and three-dimensional navier-stokes solver[R].AIAA-2002-5642,2002.
  • 4GIANNAKOGLOU K C.Designing turbomachinery bla-des using evolutionary methods[R].ASME Paper 99-GT-181,1999.
  • 5KORAKIANITIS T.Development of three direct-design methods for two-dimensional axial-turbomachinery cascades[J].ASME J.of Turbomachinery,1993(121):312-324.
  • 6TRIGG M A,TUBBY G R,SHEARD A G.Automatic genetic optimization approach to two-dimensional blade profile design for steam turbines[J].ASME J.of Turbomachinery,1999 (121):11-17.
  • 7ATKINS N R,MILLER R J,AINSWORTH R W.The development of aerodynamic performance measurements in a transient test facility[C/CD] // Proceedings of ASME Turbo Expo 2004:Power for Land,Sea,and Air,GT2004-53813.
  • 8HALDEMAN C W,DUNN M G,BARTER J W,et al.Experimental investigation of vane clocking in a one and 1/2 stage high pressure turbine[C/CD] // Proceedings of ASME Turbo Expo 2004:Power for Land,Sea,and Air,GT2004-53477.
  • 9REINM(O)LLER U,STEPHAN B,SCHMIDT S,et al.Clocking effects in a 1.5 stage axial turbine-steady and unsteady experimental investigations supported by numerical simulations[C/CD] // Proceedings of ASME Turbo Expo 2001,2001-GT-0304.
  • 10SCHENNACH O,WOISETSCHLAGER J,FUCHS A,et al.Experimental investigations of clocking in a one and a half stage transonic turbine using laser-doppler-velocim-etry and a fast response aerodynamic pressure probe[C/CD] // Proceedings of ASME Turbo Expo 2006:Power for Land,Sea and Air,GT2006-90264.

引证文献2

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部