Abstract

Abstract Advanced predictions of blade flutter have been continually pursued. It is noted however that validation cases of unsteady CFD methods against experimental cases with detailed 3D unsteady pressures are still rather lacking. The main objectives of the present work are two-folds. First, validate and understand the characteristics of blade tip clearance, as well as a bubble-type flow separation for an unsteady CFD solver against a 3D oscillating cascade experiment. And second, examine the applicability of the influence coefficient method (ICM) as widely used in an oscillating linear cascade setup. In the first part, the capability of a widely used commercial solver (CFX) for unsteady flows induced by a 3D oscillating compressor cascade is examined. The present computations have shown consistently a destabilizing effect of increasing blade tip clearance, in agreement with the experiment. More remarkably, the computational analyses reveal a distinctive interplay between the inlet endwall boundary layer and the tip clearance in relation to the aerodynamic damping. Different inlet endwall boundary layer thicknesses are shown to lead to qualitatively different aeroelastic stability characteristics in relation to tip clearance. The aero-damping variation with the tip clearance under the influence of the inlet endwall boundary layer seems to correlate closely to a balancing act between the passage vortex and the tip leakage vortex. The tip clearance aeroelastic behavior seems also in line with a simple quasi-steady analysis. On the other hand, the mid-chord laminar bubble separation on suction surface, though with a clear signature in the local aero-damping, has negligible effects on the overall stability. The second part aims to examine computationally the applicability of the influence coefficient method in a linear cascade setup. The comparison between the cascade-based ICM data and a baseline “tuned cascade” shows that the differences in the sensitivity to the far-field treatment can be significant, depending on inter-blade phase angles. On the other hand, non-linearity effects closely relevant to the basic linear assumption of the ICM are shown to only have a small influence. The present results suggest that extra caution should be exercised when comparing a CFD-based tuned cascade model with a finite cascade-based ICM model, at conditions close to acoustic resonance. The resultant discrepancies may well arise from the inherently different far-field sensitivities between the two models, rather than those typical numerical and physical modeling aspects of interest (e.g., meshing, spatial and temporal discretization errors as well as turbulence modeling).

Highlights

  • Among the blade aeroelasticity problems, flutter is a common phenomenon that affects blade rows with a high aspect ratio such as frontal stages of compressors and rear stages of turbines

  • The present results suggest that extra caution should be exercised when comparing a CFD-based tuned cascade model with a finite cascade-based Influence Coefficient Method (ICM) model, at conditions close to acoustic resonance

  • The pressure waves would reflect off the tunnel sidewalls and feedback to the main flow field. This would affect the behaviour and sensitivity of the corresponding influence coefficient model to far-field conditions compared to its tuned cascade model counterpart

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Summary

Introduction

Among the blade aeroelasticity problems, flutter is a common phenomenon that affects blade rows with a high aspect ratio such as frontal stages of compressors and rear stages of turbines. Developed CFD solvers for blade flutter prediction need 3D experimental cases for validation. Bell and He [6] showed the influence of vayring spanwise bending amplitude for the first time, the cacscade comprised only one blade. A further research on the same oscillating turbine cascade was carried out experimentally and computationally with the part-span shrouds [9]. Some recent efforts are aimed to experimentally study the flutter mechanism in a transonic linear cascade [12,13]

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