Large eddy simulations of periodic wake effects on boundary-layer transition of low-pressure turbine cascades

被引:0
|
作者
Zhang, Weihao [1 ,2 ]
Zou, Zhengping [2 ,3 ]
机构
[1] Beihang Univ, Sch Energy & Power Engn, Beijing 100191, Peoples R China
[2] Natl Key Lab Sci & Technol Aeroengine Aerothermody, Beijing 100191, Peoples R China
[3] Beihang Univ, Res Inst Aeroengine, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
DIRECT NUMERICAL-SIMULATION; SEPARATION BUBBLE; HIGH LIFT; FLOW; BLADE; INSTABILITIES; SCHEMES; DNS;
D O I
10.1063/5.0139787
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
The periodic wake effect is one of the most important sources of unsteady disturbance in turbines. Its influence on the boundary layer transition process of the downstream blade suction surface is an important factor determining the turbine loss and aerodynamic performance, and also an effective potential approach of turbine loss control. In this paper, the high-load low-pressure turbine (LPT) cascade is taken as the research object, and the large eddy simulation based on the inhouse coed Multiblock Parallel Large-eddy Simulation is used to study the periodic influence of upstream wake. The unsteady transition process of the boundary layer on the suction surface of the turbine cascade and the spatial-temporal evolution of the vortex are discussed in detail. It is shown that there are three modes of boundary layer transition on the suction surface of the LPT cascade under the effect of wake, occurring alternately during the wake passing period. Each mode of transition has different characteristics in vortex structures, as well as boundary-layer separation and reattachment, thereby makes different losses. Although the transition mechanism and evolution process of the three modes are different, the calming regions exist in all three modes, which is important for the control of the boundary layer. This study gives an important reference for reducing the flow loss in high-load turbines by means of periodic wakes.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Study on the transition mechanism of vibrating low-pressure turbine blades based on large Eddy simulation
    Zhang, Yingqiang
    Xu, Dong
    Xuan, Wu
    Zhang, Yanfeng
    Lu, Xingen
    Zhu, Junqiang
    AEROSPACE SCIENCE AND TECHNOLOGY, 2024, 155
  • [32] Modeling boundary-layer transition in direct and large-eddy simulations using parabolized stability equations
    Lozano-Duran, A.
    Hack, M. J. P.
    Moin, P.
    PHYSICAL REVIEW FLUIDS, 2018, 3 (02):
  • [33] Large-eddy simulation of boundary-layer transition on a swept wedge
    Huai, XL
    Joslin, RD
    Piomelli, U
    JOURNAL OF FLUID MECHANICS, 1999, 381 : 357 - 380
  • [34] WAKE CONTROL BY BOUNDARY LAYER SUCTION APPLIED TO A HIGH-LIFT LOW-PRESSURE TURBINE BLADE
    Satta, Francesca
    Ubaldi, Marina
    Zunino, Pietro
    Schipani, Claudia
    PROCEEDINGS OF THE ASME TURBO EXPO 2010: TURBOMACHINERY: AXIAL FLOW FAN AND COMPRESSOR AERODYNAMICS DESIGN METHODS, AND CFD MODELING FOR TURBOMACHINERY, VOL 7, PTS A-C, 2010, : 1571 - 1582
  • [36] LARGE-EDDY SIMULATIONS OF A HIGH-SPEED LOW-PRESSURE TURBINE CASCADE WITH PURGE FLOW
    Perkins, David W.
    Duchaine, Florent
    PROCEEDINGS OF ASME TURBO EXPO 2024: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2024, VOL 12C, 2024,
  • [37] Experimental investigation on the effects of wake passing frequency on boundary layer transition in high-lift low-pressure turbines
    Liang, Yun
    Zou, Zheng-Ping
    Liu, Hou-Xing
    Zhang, Wei-Hao
    EXPERIMENTS IN FLUIDS, 2015, 56 (04)
  • [38] Experimental investigation on the effects of wake passing frequency on boundary layer transition in high-lift low-pressure turbines
    Yun Liang
    Zheng-Ping Zou
    Hou-Xing Liu
    Wei-Hao Zhang
    Experiments in Fluids, 2015, 56
  • [39] Implicit Large Eddy Simulation of a Stalled Low-Pressure Turbine Airfoil
    Memory, C. L.
    Chen, J. P.
    Bons, J. P.
    JOURNAL OF TURBOMACHINERY-TRANSACTIONS OF THE ASME, 2016, 138 (07):
  • [40] Large-Eddy Simulations of Idealized Shock/Boundary-Layer Interactions with Crossflow
    Larsson, Johan
    Kumar, Vedant
    Oberoi, Nikhil
    Di Renzo, Mario
    Pirozzoli, Sergio
    AIAA JOURNAL, 2022, 60 (05) : 2767 - 2779