Numerical Investigation of the Excitation Characteristics of Contaminated Nozzle Rings

Author:

Beierl Michaela R.1,Vogt Damian M.1,Fischer Magnus2,Müller Tobias R.2,So Kwok Kai2

Affiliation:

1. ITSM—Institute of Thermal Turbomachinery and Machinery Laboratory, University of Stuttgart, 70569 Stuttgart, Germany

2. Turbo Systems Switzerland Ltd., 5400 Baden, Switzerland

Abstract

The deposition of combustion residues in the nozzle ring (NR) of a turbocharger turbine stage changes the NR geometry significantly in a random manner. The resultant complex and highly asymmetric geometry induces low engine order (LEO) excitation, which may lead to resonance excitation of rotor blades and high cycle fatigue (HCF) failure. Therefore, a suitable prediction workflow is of great importance for the design and validation phases. The prediction of LEO excitation is, however, computationally expensive as high-fidelity, full annulus CFD models are required. Previous investigations showed that a steady-state computational model consisting of the volute, the NR, and a radial extension is suitable to reduce the computational costs massively and to qualitatively predict the level of LEO forced response. In the current paper, the aerodynamic excitation of 69 real contaminated NRs is analyzed using this simplified approach. The results obtained by the simplified simulation model are used to select 13 contaminated NR geometries, which are then simulated with a model of the entire turbine stage, including the rotor, in a transient time-marching manner to provide high-fidelity simulation results for the verification of the simplified approach. Furthermore, two contamination patterns are analyzed in a more detailed manner regarding their aerodynamic excitation. It is found that the simplified model can be used to identify and classify contamination patterns that lead to high blade vibration amplitudes. In cases where transient effects occurring in the rotor alter the harmonic pressure field significantly, the ability of the simplified approach to predict the LEO excitation is not sufficient.

Publisher

MDPI AG

Reference14 articles.

1. Low-Engine-Order Excitation Mechanisms in Axial-Flow Turbomachinery;Green;J. Propuls. Power,2003

2. Müller, T.R., Vogt, D.M., Vogel, K., Phillipsen, B.A., and Hönisch, P. (2017). Turbo Expo: Power for Land, Sea, and Air, American Society of Mechanical Engineers. ASME Paper GT2017-64502.

3. Prediction of Low-Engine-Order Excitation Due to a Non-Symmetrical Nozzle Ring in a Radial Turbine by Means of the Nonlinear Harmonic Approach;Kovachev;ASME J. Eng. Gas Turbines Power,2019

4. A Numerical Study of High Pressure Turbine Forced Response in the Presence of Damaged Nozzle Guide Vanes;Imregun;Aeronaut. J.,2007

5. Elliott, B., Sayma, A.I., and Imregun, M. (2005). Evaluation, Control and Prevention of High Cycle Fatigue in Gas Turbine Engines for Land, Sea and Air Vehicles, Meeting Proceedings RTO-MP-AVT-121, RTO.

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