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contributor authorPastorino, Giacomo
contributor authorSimonassi, Loris
contributor authorLopes, Gustavo
contributor authorBoufidi, Elissavet
contributor authorFontaneto, Fabrizio
contributor authorLavagnoli, Sergio
date accessioned2024-04-24T22:50:56Z
date available2024-04-24T22:50:56Z
date copyright2/26/2024 12:00:00 AM
date issued2024
identifier issn0889-504X
identifier otherturbo_146_7_071002.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4295982
description abstractIn the present work, hot-wire anemometry was employed for the characterization of the turbulent field at the inlet of a high-speed low-pressure turbine cascade, in terms of turbulence intensity and integral length scales. This work addresses two major topics relevant to the turbomachinery field: the application of hot-wire anemometry in transonic and rarefied flow regimes and the decoupling of the deterministic and the stochastic fluctuations when measuring unsteady phenomena. In compressible and rarefied flows, a hot-wire is strongly sensitive to both density and velocity fluctuations, and the commonly used Nusselt–Reynolds correlations are not valid. In this article, a nondimensional calibration methodology, based on Nusselt, Reynolds, and Knudsen numbers, was coupled with a sensitivity analysis and employed to postprocess the experimental dataset, allowing to decouple the fluctuations of density and velocity and to compute the turbulence parameters. In the presence of unsteady wakes generated upstream of the cascade, two different phase-locked averaging techniques were employed to distinguish the wake deterministic fluctuations from the background turbulence intensity.
publisherThe American Society of Mechanical Engineers (ASME)
titleMeasurements of Turbulence in Compressible Low-Density Flows at the Inlet of a Transonic Linear Cascade With and Without Unsteady Wakes
typeJournal Paper
journal volume146
journal issue7
journal titleJournal of Turbomachinery
identifier doi10.1115/1.4064369
journal fristpage71002-1
journal lastpage71002-12
page12
treeJournal of Turbomachinery:;2024:;volume( 146 ):;issue: 007
contenttypeFulltext


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