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    Generalized Predictions of Particle-Vane Retention Probability in Gas Turbine Engines

    Source: Journal of Turbomachinery:;2021:;volume( 143 ):;issue: 011::page 0111008-1
    Author:
    Ellis, Matthew
    ,
    Bojdo, Nicholas
    ,
    Covey-Crump, Stephen
    ,
    Jones, Merren
    ,
    Filippone, Antonio
    ,
    Pawley, Alison
    DOI: 10.1115/1.4051108
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The ingestion of airborne particulate into aircraft engines is an undesirable consequence of their operation, particularly in and out of arid locations that leads to reduced time between overhaul. Predicting the maintenance burden in environments rich in airborne particulate is made difficult by the large number of parameters that influence the likelihood of retention of the particles on nozzle guide vanes. In this contribution, we propose a new, reduced-order model that can predict the probability of particle retention as a function of a reduced set of independent variables relating to both the carrier gas flow and particle. Two-dimensional CFD simulations of particle deposition are performed on the General Electric E3 nozzle guide vane using the existing, energy-based fouling of gas turbines (EBFOG) particle deposition model. Results from the model are compared with experimental observations of particle deposition and show good agreement with the mass fraction retained by a vane. We introduce a function that allows the probability of retention to be calculated for a range of engine operating states and architectures by defining a new dimensionless parameter, the generalized thermal Stokes number. This parameter normalizes the thermal response of a particle for all gas and particle softening temperatures allowing the retention probability function to be applied universally. Finally, we demonstrate a practical use of this model by showing its use in calculating the accumulation factor for a particle size distribution.
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      Generalized Predictions of Particle-Vane Retention Probability in Gas Turbine Engines

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4278943
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    contributor authorEllis, Matthew
    contributor authorBojdo, Nicholas
    contributor authorCovey-Crump, Stephen
    contributor authorJones, Merren
    contributor authorFilippone, Antonio
    contributor authorPawley, Alison
    date accessioned2022-02-06T05:52:13Z
    date available2022-02-06T05:52:13Z
    date copyright6/21/2021 12:00:00 AM
    date issued2021
    identifier issn0889-504X
    identifier otherturbo_143_11_111008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278943
    description abstractThe ingestion of airborne particulate into aircraft engines is an undesirable consequence of their operation, particularly in and out of arid locations that leads to reduced time between overhaul. Predicting the maintenance burden in environments rich in airborne particulate is made difficult by the large number of parameters that influence the likelihood of retention of the particles on nozzle guide vanes. In this contribution, we propose a new, reduced-order model that can predict the probability of particle retention as a function of a reduced set of independent variables relating to both the carrier gas flow and particle. Two-dimensional CFD simulations of particle deposition are performed on the General Electric E3 nozzle guide vane using the existing, energy-based fouling of gas turbines (EBFOG) particle deposition model. Results from the model are compared with experimental observations of particle deposition and show good agreement with the mass fraction retained by a vane. We introduce a function that allows the probability of retention to be calculated for a range of engine operating states and architectures by defining a new dimensionless parameter, the generalized thermal Stokes number. This parameter normalizes the thermal response of a particle for all gas and particle softening temperatures allowing the retention probability function to be applied universally. Finally, we demonstrate a practical use of this model by showing its use in calculating the accumulation factor for a particle size distribution.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleGeneralized Predictions of Particle-Vane Retention Probability in Gas Turbine Engines
    typeJournal Paper
    journal volume143
    journal issue11
    journal titleJournal of Turbomachinery
    identifier doi10.1115/1.4051108
    journal fristpage0111008-1
    journal lastpage0111008-12
    page12
    treeJournal of Turbomachinery:;2021:;volume( 143 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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