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    A Comparison of Turbulence Levels From Particle Image Velocimetry and Constant Temperature Anemometry Downstream of a Low-Pressure Turbine Cascade at High-Speed Flow Conditions

    Source: Journal of Turbomachinery:;2020:;volume( 142 ):;issue: 007::page 071008-1
    Author:
    Chemnitz, Silvio
    ,
    Niehuis, Reinhard
    DOI: 10.1115/1.4046272
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The development and verification of new turbulence models for Reynolds-averaged Navier–Stokes (RANS) equation-based numerical methods require reliable experimental data with a deep understanding of the underlying turbulence mechanisms. High accurate turbulence measurements are normally limited to simplified test cases under optimal experimental conditions. This work presents comprehensive three-dimensional data of turbulent flow quantities, comparing advanced constant temperature anemometry (CTA) and stereoscopic particle image velocimetry (PIV) methods under realistic test conditions. The experiments are conducted downstream of a linear, low-pressure turbine cascade at engine relevant high-speed operating conditions. The special combination of high subsonic Mach and low Reynolds number results in a low density test environment, challenging for all applied measurement techniques. Detailed discussions about influences affecting the measured result for each specific measuring technique are given. The presented time mean fields as well as total turbulence data demonstrate with an average deviation of ΔTu<0.4% and ΔC/Cref<0.9% an extraordinary good agreement between the results from the triple sensor hot-wire probe and the 2D3C-PIV setup. Most differences between PIV and CTA can be explained by the finite probe size and individual geometry.
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      A Comparison of Turbulence Levels From Particle Image Velocimetry and Constant Temperature Anemometry Downstream of a Low-Pressure Turbine Cascade at High-Speed Flow Conditions

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    contributor authorChemnitz, Silvio
    contributor authorNiehuis, Reinhard
    date accessioned2022-02-04T22:22:08Z
    date available2022-02-04T22:22:08Z
    date copyright6/30/2020 12:00:00 AM
    date issued2020
    identifier issn0889-504X
    identifier otherturbo_142_7_071008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275430
    description abstractThe development and verification of new turbulence models for Reynolds-averaged Navier–Stokes (RANS) equation-based numerical methods require reliable experimental data with a deep understanding of the underlying turbulence mechanisms. High accurate turbulence measurements are normally limited to simplified test cases under optimal experimental conditions. This work presents comprehensive three-dimensional data of turbulent flow quantities, comparing advanced constant temperature anemometry (CTA) and stereoscopic particle image velocimetry (PIV) methods under realistic test conditions. The experiments are conducted downstream of a linear, low-pressure turbine cascade at engine relevant high-speed operating conditions. The special combination of high subsonic Mach and low Reynolds number results in a low density test environment, challenging for all applied measurement techniques. Detailed discussions about influences affecting the measured result for each specific measuring technique are given. The presented time mean fields as well as total turbulence data demonstrate with an average deviation of ΔTu<0.4% and ΔC/Cref<0.9% an extraordinary good agreement between the results from the triple sensor hot-wire probe and the 2D3C-PIV setup. Most differences between PIV and CTA can be explained by the finite probe size and individual geometry.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Comparison of Turbulence Levels From Particle Image Velocimetry and Constant Temperature Anemometry Downstream of a Low-Pressure Turbine Cascade at High-Speed Flow Conditions
    typeJournal Paper
    journal volume142
    journal issue7
    journal titleJournal of Turbomachinery
    identifier doi10.1115/1.4046272
    journal fristpage071008-1
    journal lastpage071008-12
    page12
    treeJournal of Turbomachinery:;2020:;volume( 142 ):;issue: 007
    contenttypeFulltext
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