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WALL RESOLVED LARGE-EDDY SIMULATIONS OF HIGH-SPEED LOW-PRESSURE TURBINE CASCADES
Tene hedje, Patrick; Bechane, Yacine; Lavagnoli, Sergio et al.
2023In Turbo Expo: Power for Land, Sea and Air, Volume 13B: Turbomachinery — Axial Flow Turbine Aerodynamics, p. 13
Peer reviewed
 

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Keywords :
Explicit Compressible Solver; Finite volume method; Low Pressure Turbine; Transonic flow; Wall Resolved Large Eddy Simulations; Current energy; Explicit compressible solv; Finite-volume method; High Speed; Large-eddy simulations; Low pressure turbine blade; Low-pressure turbine cascade; Low-pressure turbines; Turbine flows; Wall resolved large eddy simulation; Engineering (all)
Abstract :
[en] The current energy challenges in the field of aircraft propulsion demands a better understanding of turbine flows. The complexity of the flows and the geometrical configurations at play limit the feasibility of experimental investigations in this field. Building predictive numerical methods to capture accurately the flow physics is thus important, even if it still constitutes a challenge. This paper focuses on numerical simulations of high-speed low-pressure turbine blades (HS-LPT), a major component in the framework of high-efficiency geared turbofan engine designs. In this framework,Wall Resolved Large-Eddy Simulations (WRLES) of flows in HS-LPT transonic cascades are performed, using a high order Finite Volume Method (FVM). The Explicit Compressible Solver (ECS) of the massively parallel code "YALES2"is used here. The study focuses on two different cases of low-pressure turbine cascades. First, the well-known T106-C cascade benchmark is studied in order to assess the YALES2 solver for compressible turbomachinery flows. The predictions matches fairly well with those of other numerical codes in the literature and experiments. The second test case investigated is the "SPLEEN"cascade, a next-generation high-speed low-pressure turbine cascade developed by Safran aircraft engines and the von Karman institute for fluid dynamics as a part of a large scale collaborative project. The aim here is to assess the solver for transonic flows, in terms of prediction of the SS separation bubble, the separation-induced laminar-turbulent transition and the wake deficit, using a very detailed experimental database. The results are thus compared with high-fidelity experimental data. This paper shows that the method presented here is able to provide predictive results that can be further used to help in the design LPT blades.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Tene hedje, Patrick   ;  Université de Mons - UMONS > Faculté Polytechniqu > Service de Thermique et Combustion ; Université de Mons - UMONS > Faculté Polytechnique > Service des Fluides-Machines ; VKI - Von Karman Institute for Fluid Dynamics [BE] > Turbomachinery and Propulsion
Bechane, Yacine;  Univ Rouen Normandie, INSA Rouen Normandie, CNRS, CORIA UMR6614, Saint-Etienne-du-Rouvray, France
Lavagnoli, Sergio;  Karman Institute for Fluid Dynamics, Rhode-Saint-Genese, Belgium
Bricteux, Laurent   ;  Université de Mons - UMONS > Faculté Polytechniqu > Service des Fluides-Machines
 These authors have contributed equally to this work.
Language :
English
Title :
WALL RESOLVED LARGE-EDDY SIMULATIONS OF HIGH-SPEED LOW-PRESSURE TURBINE CASCADES
Original title :
[en] WALL RESOLVED LARGE-EDDY SIMULATIONS OF HIGH-SPEED LOW-PRESSURE TURBINE CASCADES
Publication date :
28 September 2023
Event name :
ASME Turbo Expo : Turbomachinery Technical Conference & Exposition
Event organizer :
American Society of Mechanical Engineers
Event place :
Boston, Usa
Event date :
26-06-2023 => 30-06-2023
By request :
Yes
Audience :
International
Journal title :
Turbo Expo: Power for Land, Sea and Air
Special issue title :
ISBN: 978-0-7918-8709-7
Volume :
Volume 13B: Turbomachinery — Axial Flow Turbine Aerodynamics
Pages :
13
Peer reviewed :
Peer reviewed
Research unit :
F702 - Fluides-Machines
Research institute :
Research Institute for Energy
Funders :
Ansys
Cadence
et al.
GE
International Gas Turbine Institute
Rolls Royce
Funding text :
This research benefited from computational resources made available on the Tier-1 supercomputer of the Fédération Wallonie-Bruxelles, infrastructure funded by the Walloon Region under the grantagreement.1117545. IthasbeeninitiatedduringtheEx-treme CFD Workshop (https://ecfd.coria-cfd.fr) partly financedThis research benefited from computational resources made available on the Tier-1 supercomputer of the FédérationWallonie- Bruxelles, infrastructure funded by the Walloon Region under the grant agreement No. 1117545. It has been initiated during the Extreme CFD Workshop (https://ecfd.coria-cfd.fr) partly financed by GENCI. Vincent Moureau, Ghislain Lartigue and Pierre Bénard from CORIA lab are also acknowledged for providing the YALES2 code.The SPLEEN blade is a new HS-LPT blade configuration that has been designed at the von Karman institute for fluid dynamics, in collaboration with Safran aircraft engines, and extensively investigated in the period 2018-2022 within the "Secondary and Leakage Flow Effects in High-Speed Low-Pressure Turbines" project, funded by the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation program. It is a blade with a chord = 52.28 , an axial chord = 47.61 and a pitch = 32.95 . The first detailed measurement campaign, collected on a linear cascade, has recently been made available in [36] for isentropic exit Reynolds numbers 2, ranging from 65000 to 120000 and transonic condition (2, = 0.7 − 0.95). For this first numerical campaign, the SPLEEN cascade is investigated for the following isentropic exit flow conditions : 2, = 70000 and 2, = 0.7. This case is listed as ”_1__000_70_070” in the database [36] . The corresponding boundary conditions are 1, = 10779.149 , 1, = 300 and 2, = 7770.989 . The imposed inflow angle is 1 = 36.2◦. This first investigation is carried out on a simplified configuration, i.e. with zero turbulence at the inlet ( = 0%) and without end-walls effects. The computational domain and the mesh use the same methodology as in the case of the T106C cascade. The properties of the mesh are given in Table 2.
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