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    Complete Characterization of a Highly Loaded Low Pressure Compressor at Different Reynolds Numbers for Computational Fluid Dynamics Simulations

    Source: Journal of Turbomachinery:;2018:;volume 140:;issue 006::page 61008
    Author:
    Hadavandi, Ruzbeh
    ,
    Fontaneto, Fabrizio
    ,
    Desset, Julien
    DOI: 10.1115/1.4039727
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Computational fluid dynamics (CFD) is nowadays extensively used for turbomachinery design and performance prediction. Nevertheless, compressors numerical simulations still fail in correctly predicting the stall inception and the poststall behavior. Several authors address such a lack of accuracy to the incomplete definition of the boundary conditions and of the turbulence parameters at the inlet of the numerical domain. The aim of the present paper is to contribute to the development of compressors CFD by providing a complete set of input data for numerical simulations. A complete characterization has been carried out for a state-of-art 1.5 stage highly loaded low-pressure compressor for which previous CFD analyses have failed to predict its behavior. The experimental campaign has been carried out in the R4 facility at the Von Karman Institute for Fluid Dynamics (VKI). The test item has been tested in different operative conditions for two different speed lines (90% and 96% of the design speed) and for two different Reynolds numbers. Stable and unstable operative conditions have been investigated along with the stalling behavior, its inception, and the stall-cell flow field. Discrete hot-wire traverses have been performed in order to characterize the spanwise velocity field and the turbulence characteristics.
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      Complete Characterization of a Highly Loaded Low Pressure Compressor at Different Reynolds Numbers for Computational Fluid Dynamics Simulations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4253296
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    contributor authorHadavandi, Ruzbeh
    contributor authorFontaneto, Fabrizio
    contributor authorDesset, Julien
    date accessioned2019-02-28T11:09:33Z
    date available2019-02-28T11:09:33Z
    date copyright5/2/2018 12:00:00 AM
    date issued2018
    identifier issn0889-504X
    identifier otherturbo_140_06_061008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253296
    description abstractComputational fluid dynamics (CFD) is nowadays extensively used for turbomachinery design and performance prediction. Nevertheless, compressors numerical simulations still fail in correctly predicting the stall inception and the poststall behavior. Several authors address such a lack of accuracy to the incomplete definition of the boundary conditions and of the turbulence parameters at the inlet of the numerical domain. The aim of the present paper is to contribute to the development of compressors CFD by providing a complete set of input data for numerical simulations. A complete characterization has been carried out for a state-of-art 1.5 stage highly loaded low-pressure compressor for which previous CFD analyses have failed to predict its behavior. The experimental campaign has been carried out in the R4 facility at the Von Karman Institute for Fluid Dynamics (VKI). The test item has been tested in different operative conditions for two different speed lines (90% and 96% of the design speed) and for two different Reynolds numbers. Stable and unstable operative conditions have been investigated along with the stalling behavior, its inception, and the stall-cell flow field. Discrete hot-wire traverses have been performed in order to characterize the spanwise velocity field and the turbulence characteristics.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleComplete Characterization of a Highly Loaded Low Pressure Compressor at Different Reynolds Numbers for Computational Fluid Dynamics Simulations
    typeJournal Paper
    journal volume140
    journal issue6
    journal titleJournal of Turbomachinery
    identifier doi10.1115/1.4039727
    journal fristpage61008
    journal lastpage061008-9
    treeJournal of Turbomachinery:;2018:;volume 140:;issue 006
    contenttypeFulltext
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