Adjoint Optimization Method for Aerodynamic Inverse Problem of Cascades

被引:0
作者
Zhu Y. [1 ]
Ju Y. [1 ]
Dai R. [2 ]
Zhang C. [1 ]
机构
[1] School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an
[2] School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai
来源
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2017年 / 51卷 / 09期
关键词
Adjoint method; Cascade; Design optimization; Geometry parameterization; Inverse problem;
D O I
10.7652/xjtuxb201709020
中图分类号
学科分类号
摘要
Adjoint method based design optimization is currently a hot topic in the field of fluid machinery, which has the advantage that the computation cost is almost independent of the number of design variables. In view of that few efforts in previous researches have been devoted to the inverse aerodynamic design of cascades with flow separation by means of the adjoint method, an optimization method for aerodynamic inverse problem of cascade, which includes blade geometry parameterization, grid generation, flow solving, adjoint field solving and optimizing, is proposed. From the point of view of weakening the flow separation, the aerodynamic inverse design of a cascade is completed by giving a desirable surface pressure distribution on the blade. The results show that the suction profile of the obtained blade becomes flatter than the initial design, and the flow separation near the trailing edge is weakened at two investigated attack angles. This approach is beneficial for the development of aerodynamic design technology of cascades with higher efficiency and wider operating range. © 2017, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
引用
收藏
页码:138 / 144
页数:6
相关论文
共 13 条
  • [1] Day I.J., Stall, surge, and 75 years of research, ASME Journal of Turbomachinery, 138, 1, (2016)
  • [2] Jameson A., Aerodynamic design via control theory, Journal of Scientific Computing, 3, 3, pp. 233-260, (1988)
  • [3] Ju Y., Zhang C., Multi-point robust design optimization of wind turbine airfoil under geometric uncertainty, Proceedings of the Institution of Mechanical Engineer: Part A Journal of Power and Energy, 226, 2, pp. 245-261, (2012)
  • [4] Nadarajah S.K., Jameson A., A comparison of the continuous and discrete adjoint approach to automatic aerodynamic optimization, 38th Aerospace Sciences Meeting and Exhibit, (2000)
  • [5] Papadimitriou D.I., Papadimitriou C., Robust and reliability-based structural topology optimization using a continuous adjoint method, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems: Part A Civil Engineering, 2, 3, (2016)
  • [6] Bueno O.A., Castro C., Palacios F., Et al., Continuous adjoint approach for the Spalart-Allmaras model in aerodynamic optimization, AIAA Journal, 50, 3, pp. 631-646, (2012)
  • [7] Li H., Song L., Zhang P., Et al., Inverse problem for isentropic Mach-number on blade wall in aerodynamic shape design of turbomachinery cascades by using adjoint method, ASME Turbo Expo 2011, pp. 1229-1240, (2011)
  • [8] Yu J., Ji L., Li W., Et al., Shape optimization of axial compressor blades using adjoint method with emphasis on thickness distribution, ASME Turbo Expo 2015, (2015)
  • [9] Bonaiuti D., Zangeneh M., On the coupling of inverse design and optimization techniques for the multiobjective, multipoint design of turbomachinery blades, ASME Journal of Turbomachinery, 131, 2, (2009)
  • [10] Du L., Ning F., An approximate method for viscous inverse design based on adjoint equations, Acta Aeronautica et Astronautica Sinica, 33, 4, pp. 579-606, (2012)