Aeroelastic Investigation of Turbine Blade Assemblies: Cluster System and Mistuned Rows

TitleAeroelastic Investigation of Turbine Blade Assemblies: Cluster System and Mistuned Rows
Publication TypeConference Paper
Year of Publication2017
AuthorsVanti F, Pinelli L, Poli F, Arnone A
Conference Name12th European Conference on Turbomachinery Fluid Dynamics & Thermodynamics ETC12
Conference LocationApril 3-7, 2017; Stockholm, Sweden

In modern turbomachinery design, one of the main objectives of aviation industry is the continuous research for higher performance with lighter engines. This trend leads to a reduction in the number of blades, which become increasingly thin and loaded, with a consequent increase in the occurrence of aeroelastic phenomena, compromising the structural integrity. This paper aims to present a numerical flutter assessment of two different types of blade assembly: a turbine cluster system typical of stator segment and an intentionally mistuned row representing an up-to-date low pressure turbine rotor.  The numerical results obtained by a time-accurate CFD solver with vibrating blades will be compared with experimental data measured in the context of the EU project FUTURE.
The first part of the paper will describe the study of a stator turbine cascade assembly, whose blades are mounted in packets and vibrate as a cluster mode. The comparison between numerical and experimental data showed an excellent agreement and further validated the aeroelastic solver. Then, the attention will be focused on the flutter analysis of an intentionally mistuned turbine rotor bladerow in comparison with a
traditional row consisting of identical blades: this highlights how this type of assembly may stabilize the bladerow. The results of the numerical blade stability analysis show a flutter instability for the
first bending mode which becomes stable, once the modal mistuning is introduced by adding masses at the tip of alternate blades. This numerically predicted flutter stabilization was confirmed by the experimental campaigns.


paper ETC2017-144

Refereed DesignationRefereed