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contributor authorMaroldt, Niklas
contributor authorAmer, Mona
contributor authorSeume, Joerg R.
date accessioned2022-05-08T08:57:42Z
date available2022-05-08T08:57:42Z
date copyright3/4/2022 12:00:00 AM
date issued2022
identifier issn0889-504X
identifier otherturbo_144_8_081011.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284557
description abstractRecent developments in turbomachinery design require an improved prediction accuracy of blade vibrations to maintain safe operations. This article aims to investigate the accuracy of numerical aeroelastic approaches for the calculation of blade vibrations. For validation, extensive aerodynamic and forced response measurements in an 1.5-stage axial compressor with a blade integrated disk (Blisk) are presented. The excitation intensity of the vibration is controlled by varying the stagger angle of the inlet guide vane (IGV). In addition, a second engine order is imposed by a nonsymmetric circumferential vane angle distribution to simulate a multistage behavior. Experimental validated Reynolds-averaged Navier–Stokes (RANS) simulations in both the frequency and the time domain are compared to assess the prediction accuracy of the numerical approaches. The numerical results agree with the experiments for low and intermediate vane angles. However, at high IGV stagger angles and when exciting multiple engine orders, the inaccuracy in the prediction of flow separation by the RANS simulations leads to an overprediction of vibration amplitudes. This exaggeration becomes even more pronounced in the frequency domain simulations. Time domain methods with a time lag formulation tend to be efficient and more accurate approaches for large separated flow regimes.
publisherThe American Society of Mechanical Engineers (ASME)
titleForced Response Due to Vane Stagger Angle Variation in an Axial Compressor
typeJournal Paper
journal volume144
journal issue8
journal titleJournal of Turbomachinery
identifier doi10.1115/1.4053839
journal fristpage81011-1
journal lastpage81011-11
page11
treeJournal of Turbomachinery:;2022:;volume( 144 ):;issue: 008
contenttypeFulltext


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