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    Comparative Validation Study on Identification of Premixed Flame Transfer Function

    Source: Journal of Engineering for Gas Turbines and Power:;2012:;volume( 134 ):;issue: 002::page 21502
    Author:
    Luis Tay-Wo-Chong
    ,
    Sebastian Bomberg
    ,
    Ahtsham Ulhaq
    ,
    Thomas Komarek
    ,
    Wolfgang Polifke
    DOI: 10.1115/1.4004183
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The flame transfer function (FTF) of a premixed swirl burner was identified from a time series generated with computational fluid dynamics simulations of compressible, turbulent, reacting flow at nonadiabatic conditions. Results were validated against experimental data. For large eddy simulation (LES), the dynamically thickened flame combustion model with one step kinetics was used. For unsteady simulation in a Reynolds-averaged Navier–Stokes framework (URANS), the Turbulent Flame Closure model was employed. The FTF identified from LES shows quantitative agreement with experiment for amplitude and phase, especially for frequencies below 200 Hz. At higher frequencies, the gain of the FTF is underpredicted. URANS results show good qualitative agreement, capturing the main features of the flame response. However, the maximum amplitude and the phase lag of the FTF are underpredicted. Using a low-order network model of the test rig, the impact of the discrepancies in predicted FTFs on frequencies and growth rates of the lowest order eigenmodes were assessed. Small differences in predicted FTFs were found to have a significant impact on stability limits. Stability behavior in agreement with experimental data was achieved only with the LES-based flame transfer function.
    keyword(s): Turbulence , Transfer functions , Flames , Stability , Computational fluid dynamics , Combustion AND Network models ,
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      Comparative Validation Study on Identification of Premixed Flame Transfer Function

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    https://yetl.yabesh.ir/yetl1/handle/yetl/148912
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    contributor authorLuis Tay-Wo-Chong
    contributor authorSebastian Bomberg
    contributor authorAhtsham Ulhaq
    contributor authorThomas Komarek
    contributor authorWolfgang Polifke
    date accessioned2017-05-09T00:50:33Z
    date available2017-05-09T00:50:33Z
    date copyrightFebruary, 2012
    date issued2012
    identifier issn1528-8919
    identifier otherJETPEZ-27183#021502_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/148912
    description abstractThe flame transfer function (FTF) of a premixed swirl burner was identified from a time series generated with computational fluid dynamics simulations of compressible, turbulent, reacting flow at nonadiabatic conditions. Results were validated against experimental data. For large eddy simulation (LES), the dynamically thickened flame combustion model with one step kinetics was used. For unsteady simulation in a Reynolds-averaged Navier–Stokes framework (URANS), the Turbulent Flame Closure model was employed. The FTF identified from LES shows quantitative agreement with experiment for amplitude and phase, especially for frequencies below 200 Hz. At higher frequencies, the gain of the FTF is underpredicted. URANS results show good qualitative agreement, capturing the main features of the flame response. However, the maximum amplitude and the phase lag of the FTF are underpredicted. Using a low-order network model of the test rig, the impact of the discrepancies in predicted FTFs on frequencies and growth rates of the lowest order eigenmodes were assessed. Small differences in predicted FTFs were found to have a significant impact on stability limits. Stability behavior in agreement with experimental data was achieved only with the LES-based flame transfer function.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleComparative Validation Study on Identification of Premixed Flame Transfer Function
    typeJournal Paper
    journal volume134
    journal issue2
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4004183
    journal fristpage21502
    identifier eissn0742-4795
    keywordsTurbulence
    keywordsTransfer functions
    keywordsFlames
    keywordsStability
    keywordsComputational fluid dynamics
    keywordsCombustion AND Network models
    treeJournal of Engineering for Gas Turbines and Power:;2012:;volume( 134 ):;issue: 002
    contenttypeFulltext
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