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    Modeling Particle Deposition Effects in Aircraft Engine Compressors

    Source: Journal of Turbomachinery:;2017:;volume( 139 ):;issue: 005::page 51003
    Author:
    Döring, Felix
    ,
    Staudacher, Stephan
    ,
    Koch, Christian
    ,
    Weißschuh, Matthias
    DOI: 10.1115/1.4035072
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Airborne particles ingested in aircraft engines deposit on compressor blading and end walls. Aerodynamic surfaces degrade on a microscopic and macroscopic scale. Blade row, compressor, and engine performance deteriorate. Optimization of maintenance scheduling to mitigate these effects requires modeling of the deterioration process. This work provides a deterioration model on blade row level and the experimental validation of this model in a newly designed deposition test rig. When reviewing previously published work, a clear focus on deposition effects in industrial gas turbines becomes evident. The present work focuses on quantifying magnitudes and timescales of deposition effects in aircraft engines and the adaptation of the generalized Kern and Seaton deposition model for application in axial compressor blade rows. The test rig's cascade was designed to be representative of aircraft engine compressor blading. The cascade was exposed to an accelerated deposition process. Reproducible deposition patterns were identified. Results showed an asymptotic progression of blade row performance deterioration. A significant increase in total pressure loss and decrease in static pressure rise were measured. Application of the validated model using existing particle concentration and flight cycle data showed that more than 95% of the performance deterioration due to deposition occurs within the first 1000 flight cycles.
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      Modeling Particle Deposition Effects in Aircraft Engine Compressors

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4236055
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    contributor authorDöring, Felix
    contributor authorStaudacher, Stephan
    contributor authorKoch, Christian
    contributor authorWeißschuh, Matthias
    date accessioned2017-11-25T07:19:51Z
    date available2017-11-25T07:19:51Z
    date copyright2017/24/1
    date issued2017
    identifier issn0889-504X
    identifier otherturbo_139_05_051003.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236055
    description abstractAirborne particles ingested in aircraft engines deposit on compressor blading and end walls. Aerodynamic surfaces degrade on a microscopic and macroscopic scale. Blade row, compressor, and engine performance deteriorate. Optimization of maintenance scheduling to mitigate these effects requires modeling of the deterioration process. This work provides a deterioration model on blade row level and the experimental validation of this model in a newly designed deposition test rig. When reviewing previously published work, a clear focus on deposition effects in industrial gas turbines becomes evident. The present work focuses on quantifying magnitudes and timescales of deposition effects in aircraft engines and the adaptation of the generalized Kern and Seaton deposition model for application in axial compressor blade rows. The test rig's cascade was designed to be representative of aircraft engine compressor blading. The cascade was exposed to an accelerated deposition process. Reproducible deposition patterns were identified. Results showed an asymptotic progression of blade row performance deterioration. A significant increase in total pressure loss and decrease in static pressure rise were measured. Application of the validated model using existing particle concentration and flight cycle data showed that more than 95% of the performance deterioration due to deposition occurs within the first 1000 flight cycles.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleModeling Particle Deposition Effects in Aircraft Engine Compressors
    typeJournal Paper
    journal volume139
    journal issue5
    journal titleJournal of Turbomachinery
    identifier doi10.1115/1.4035072
    journal fristpage51003
    journal lastpage051003-10
    treeJournal of Turbomachinery:;2017:;volume( 139 ):;issue: 005
    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
    yabeshDSpacePersian