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    Enhanced Computational Fluid Dynamics Modeling and Laser Doppler Anemometer Measurements for the Air Flow in an Aero engine Front Bearing Chamber—Part I

    Source: Journal of Engineering for Gas Turbines and Power:;2015:;volume( 137 ):;issue: 008::page 82501
    Author:
    Aidarinis, J.
    ,
    Goulas, A.
    DOI: 10.1115/1.4029272
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Modern aeroengine development requires also a gradual increase in the overall effectiveness of lubrication systems. This particularly applies to bearing chambers where a complex twophase flow is formed by the interaction of the sealing air and the lubrication oil. It is important to increase the level of understanding of the flow field inside the bearing chamber and to develop engineering tools in order to optimize its design and improve its performance. To achieve this, an experimental and a computational study of the whole front bearing chamber were carried out for a range of shaft rotational speeds and sealing air mass flow. The experimental measurements of the air velocity inside the chamber were carried out using a laser Doppler anemometer (LDA) in twophase air/oilflow conditions. The experimental facility is a 1:1 scale model of the front bearing chamber of an aeroengine. Computational 3D modeling of the bearing chamber was performed. The bearing gap and the presence of lubrication oil were modeled as an anisotropic porous medium with functions relating the pressure loss of the air coming through the gap and the tangential component of velocity of the air exiting the gap of the ball bearing with the airflow rate through the gap and the rotational speed of the shaft. The methodology to obtain the above mentioned functions and the results of the detailed study are given (Aidarinis, J., and Goulas, A., 2014, “Enhanced CFD Modeling and LDA Measurements for the AirFlow in an Aero Engine Front Bearing Chamber: Part II,â€‌ ASME Paper No. GT201426062). The enhanced computational model of the chamber implementing the law of pressure drop of the “lubricatedâ€‌ bearing and the function of modeling the tangential velocity of the air exiting the bearing was used to calculate the flow field for the full range of the measurements. A limiting curve dividing the operational map of the bearing chamber into two areas was predicted. Large vortical and swirling structures dominate the flow and they vary in size according to the position of the operation point relative to the limiting curve. Operation above the limiting curve leads to flow classified as type I with air going through the ball bearing while for operation below the limiting curve line the flow is classified as type II, there is no airflow through the bearing gap.
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      Enhanced Computational Fluid Dynamics Modeling and Laser Doppler Anemometer Measurements for the Air Flow in an Aero engine Front Bearing Chamber—Part I

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    contributor authorAidarinis, J.
    contributor authorGoulas, A.
    date accessioned2017-05-09T01:18:04Z
    date available2017-05-09T01:18:04Z
    date issued2015
    identifier issn1528-8919
    identifier othergtp_137_08_082501.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/158008
    description abstractModern aeroengine development requires also a gradual increase in the overall effectiveness of lubrication systems. This particularly applies to bearing chambers where a complex twophase flow is formed by the interaction of the sealing air and the lubrication oil. It is important to increase the level of understanding of the flow field inside the bearing chamber and to develop engineering tools in order to optimize its design and improve its performance. To achieve this, an experimental and a computational study of the whole front bearing chamber were carried out for a range of shaft rotational speeds and sealing air mass flow. The experimental measurements of the air velocity inside the chamber were carried out using a laser Doppler anemometer (LDA) in twophase air/oilflow conditions. The experimental facility is a 1:1 scale model of the front bearing chamber of an aeroengine. Computational 3D modeling of the bearing chamber was performed. The bearing gap and the presence of lubrication oil were modeled as an anisotropic porous medium with functions relating the pressure loss of the air coming through the gap and the tangential component of velocity of the air exiting the gap of the ball bearing with the airflow rate through the gap and the rotational speed of the shaft. The methodology to obtain the above mentioned functions and the results of the detailed study are given (Aidarinis, J., and Goulas, A., 2014, “Enhanced CFD Modeling and LDA Measurements for the AirFlow in an Aero Engine Front Bearing Chamber: Part II,â€‌ ASME Paper No. GT201426062). The enhanced computational model of the chamber implementing the law of pressure drop of the “lubricatedâ€‌ bearing and the function of modeling the tangential velocity of the air exiting the bearing was used to calculate the flow field for the full range of the measurements. A limiting curve dividing the operational map of the bearing chamber into two areas was predicted. Large vortical and swirling structures dominate the flow and they vary in size according to the position of the operation point relative to the limiting curve. Operation above the limiting curve leads to flow classified as type I with air going through the ball bearing while for operation below the limiting curve line the flow is classified as type II, there is no airflow through the bearing gap.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEnhanced Computational Fluid Dynamics Modeling and Laser Doppler Anemometer Measurements for the Air Flow in an Aero engine Front Bearing Chamber—Part I
    typeJournal Paper
    journal volume137
    journal issue8
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4029272
    journal fristpage82501
    journal lastpage82501
    identifier eissn0742-4795
    treeJournal of Engineering for Gas Turbines and Power:;2015:;volume( 137 ):;issue: 008
    contenttypeFulltext
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