Redesign of a highly loaded transonic turbine nozzle blade using a new viscous inverse design method

被引:0
|
作者
Daneshkhah, Kasra [1 ]
Ghaly, Wahid [1 ]
机构
[1] Concordia Univ, Dept Mech & Ind Engn, Montreal, PQ H3G 1M8, Canada
关键词
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The redesign of VKI-LS89 turbine vane, which is typical of a highly loaded transonic turbine guide vane is presented. The redesign is accomplished using a new inverse design method where the blade walls move with a virtual velocity distribution derived from the difference between the current and the target pressure distributions on the blade surfaces. This new inverse method is fully consistent with the viscous flow assumption and is implemented into the time accurate solution of the Reynolds-Averaged Navier-Stokes (RANS) equations that are expressed in an arbitrary Lagrangian-Eulerian (ALE) form to account for mesh movement. A cell-vertex finite volume method is used to discretize the equations in space; time accurate integration is obtained using dual time stepping. An algebraic Baldwin-Lomax model is used for turbulence closure. The flow analysis formulation is first assessed against the LS89 experimental data. The inverse formulation that is implemented in the same code, is also assessed for its robustness and accuracy, by inverse designing the LS89 original geometry through running the inverse method with the original LS89 pressure distributions as target distributions but starting from an arbitrary geometry. The inverse design method is then used to redesign the LS89 using an arbitrary pressure distributions at a subsonic and a transonic outflow condition and the results are interpreted in terms of the blade overall aerodynamic performance.
引用
收藏
页码:1281 / 1289
页数:9
相关论文
共 50 条
  • [21] Flow separation control by using bowed blade in highly loaded turbine cascades
    Tan ChunQing
    Zhang HuaLiang
    Chen HaiSheng
    Dong XueZhi
    Zhao HongLei
    Yamamoto, Atsumasa
    SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2009, 52 (06): : 1471 - 1477
  • [22] Flow separation control by using bowed blade in highly loaded turbine cascades
    ChunQing Tan
    HuaLiang Zhang
    HaiSheng Chen
    XueZhi Dong
    HongLei Zhao
    Atsumasa Yamamoto
    Science in China Series E: Technological Sciences, 2009, 52 : 1471 - 1477
  • [23] DEVELOPMENT OF TURBINE BLADE PROFILES USING ITERATIVE INVERSE DESIGN METHODOLOGY
    Rajendran, Nanthini
    Prasad, Bhamidi
    Sanyasiraju, Y. V. S. S.
    PROCEEDINGS OF THE ASME GAS TURBINE INDIA CONFERENCE, 2017, VOL 1, 2018,
  • [24] Inverse design of transonic airfoils using genetic algorithm and a new parametric shape method
    Jahangirian, A.
    Shahrokhi, A.
    INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 2009, 17 (05) : 681 - 699
  • [25] An Inverse Method for Wind Turbine Blade Design with Given Distributions of Load Coefficients
    Dong, Guodan
    Qin, Jianhua
    Li, Zhaobin
    Yang, Xiaolei
    WIND, 2022, 2 (01): : 175 - 191
  • [26] Multipoint Design Optimization of a Transonic Compressor Blade by Using an Adjoint Method
    Luo, Jiaqi
    Zhou, Chao
    Liu, Feng
    JOURNAL OF TURBOMACHINERY-TRANSACTIONS OF THE ASME, 2014, 136 (05):
  • [27] Redesign of a transonic compressor rotor by means of a three-dimensional inverse design method: A parametric study
    Bonaiuti, Duccio
    Zangeneh, Mehrdad
    Li, Yansheng
    Pitigala, Abeetha
    Proceedings of the ASME Turbo Expo 2007, Vol 6, Pts A and B, 2007, : 173 - 187
  • [28] Turbine blade duty re-design by controlling lean and sweep using an innovative iterative inverse design method
    Pascoa, Jose C.
    Mendes, Antonio C.
    Proceedings of the ASME Turbo Expo 2006, Vol 6, Pts A and B, 2006, : 1249 - 1256
  • [29] Surface pressure characteristics of a highly loaded turbine blade at design and off-design conditions; a CFD methodology
    S. Vakilipour
    M. Habibnia
    M. H. Sabour
    R. Riazi
    M. Mohammadi
    Thermophysics and Aeromechanics, 2017, 24 : 469 - 482
  • [30] Surface pressure characteristics of a highly loaded turbine blade at design and off-design conditions; a CFD methodology
    Vakilipour, S.
    Habibnia, M.
    Sabour, M. H.
    Riazi, R.
    Mohammadi, M.
    THERMOPHYSICS AND AEROMECHANICS, 2017, 24 (03) : 469 - 482