Rotor-Stator Interactions in a 2.5-Stage Axial Compressor, PART II: Impact of Aerodynamic Modelling on Forced Response

[+] Author and Article Information
Christoph Sanders

Templergraben 55 Aachen, 52062 Germany sanders@ist.rwth-aachen.de

Marius Terstegen

Templergraben 55 Aachen, 52062 Germany terstegen@ist.rwth-aachen.de

Peter Jeschke

Templergraben 55 Aachen, NRW 52062 Germany jeschke@ist.rwth-aachen.de

Harald Schönenborn

Dachauer Str. 665 Muenchen, 80995 Germany harald.schoenenborn@mtu.de

Jan Philipp Heners

Dachauer Str. 665 Munich / Germany, 80995 Germany janphilipp.heners@mtu.de

1Corresponding author.

Manuscript received November 5, 2018; final manuscript received May 13, 2019; published online xx xx, xxxx. Assoc. Editor: Li He.

ASME doi:10.1115/1.4043954 History: Received November 05, 2018; Accepted May 28, 2019


The main objective of this study is the validation of numerical forced response predictions through experimental blade vibration measurements for higher order modes of a blade integrated disk. To this end, a linearized and a nonlinear frequency domain CFD method are used, as well as a tip timing measurement system. The focus is on the blade excitation by downstream vanes, because the correct prediction of acoustic modes is of key importance in this case. The analysis of these modes is presented, both experimentally and numerically, in Part I of this publication. The grid independence study for the aerodynamic work on the blade surface conducted in this part shows a possible prediction uncertainty of more than 100% when a coarse grid is chosen. For the validation of the numerical setup, a study was performed using different turbulence and transition models. The results are compared to the measured performance map, to a 2D field traverse conducted with a pneumatic probe, and to data gained by unsteady pressure sensors mounted in the casing of the compressor. Flow features relevant for the prediction of blade stresses are best represented using the SST turbulence model in combination with the γ –ReΘ transition model. Nonlinear simulations with this setup are able to predict the blade stresses due to downstream excitation with an average difference of 23% compared to tip timing measurements. Linearized CFD methods have shown to be incapable of making a correct stress prediction when acoustic modes form a major part of the exciting mechanisms.

Copyright © 2019 by ASME
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