Scaling 3D Low-Pressure Turbine Blades for Low-Speed Testing

TitleScaling 3D Low-Pressure Turbine Blades for Low-Speed Testing
Publication TypeConference Paper
Year of Publication2015
AuthorsGiovannini M, Marconcini M, Rubechini F, Arnone A, Bertini F
Conference NameASME Turbo Expo 2015: Turbine Technical Conference and Exposition
Volume2B: Turbomachinery
Conference LocationMontreal, Canada, June 15–19, 2015
ISBN Number978-0-7918-5664-2
Accession NumberWOS:000380084700011
Other NumbersScopus 2-s2.0-84954108950
Keywordslow speed rig; Low Pressure Turbine; high-lift aerodynamics

The present activity was carried out in the framework of the Clean Sky European research project ITURB (”Optimal High-Lift Turbine Blade Aero-Mechanical Design”), aimed at designing and validating a turbine blade for a geared open rotor engine. A cold-flow, large-scale, low-speed (LS) rig was built in order to investigate and validate new design criteria, providing reliable and detailed results while containing costs. This paper presents the design of a LS stage, and describes a general procedure that allows to scale 3D blades for low-speed testing. The design of the stator row was aimed at matching the test-rig inlet conditions and at providing the proper inlet flow field to the blade row. The rotor row was redesigned in order to match the performance of the high-speed one, compensating for both the compressibility effects and different turbine flow paths. The proposed scaling procedure is based on the matching of the 3D blade loading distribution between the real engine environment and the LS facility one, which leads to a comparable behavior of the boundary layer and hence to comparable profile losses. To this end, the datum blade is parameterized, and a neural-networkbased methodology is exploited to guide an optimization process based on 3D RANS computations. The LS stage performance were investigated over a range of Reynolds numbers characteristic of modern low-pressure turbines by using a multi-equation, transition-sensitive, turbulence model.


ASME paper GT2015–42176


Refereed DesignationRefereed