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    A Method of Stall and Surge Prediction in Axial Compressors Based on Three-Dimensional Body-Force Model

    Source: Journal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 003::page 31021-1
    Author:
    Zeng, Hanxuan
    ,
    Zheng, Xinqian
    ,
    Vahdati, Mehdi
    DOI: 10.1115/1.4053103
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The occurrence of stall and surge in axial compressors has a great impact on the performance and reliability of aero-engines. Accurate and efficient prediction of the key features during these events has long been the focus of engine design processes. In this paper, a new body-force model that can capture the three-dimensional and unsteady features of stall and surge in compressors at a fraction of time required for URANS computations is proposed. To predict the rotating stall characteristics, the deviation of local airflow angle from the blade surface is calculated locally during the simulation. According to this local deviation, the computational domain is divided into stalled and forward flow regions, and the body-force field is updated accordingly
     
    to predict the surge characteristics, the local airflow direction is used to divide the computational domain into reverse flow regions and forward flow regions. A single-stage axial compressor and a three-stage axial compressor are used to verify the proposed model. The results show that the method is capable of capturing stall and surge characteristics correctly. Compared to the traditional fully three-dimensional URANS method (fRANS), the simulation time for multistage axial compressors is reduced by 1–2 orders of magnitude.
     
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      A Method of Stall and Surge Prediction in Axial Compressors Based on Three-Dimensional Body-Force Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4284977
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    contributor authorZeng, Hanxuan
    contributor authorZheng, Xinqian
    contributor authorVahdati, Mehdi
    date accessioned2022-05-08T09:18:54Z
    date available2022-05-08T09:18:54Z
    date copyright1/4/2022 12:00:00 AM
    date issued2022
    identifier issn0742-4795
    identifier othergtp_144_03_031021.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284977
    description abstractThe occurrence of stall and surge in axial compressors has a great impact on the performance and reliability of aero-engines. Accurate and efficient prediction of the key features during these events has long been the focus of engine design processes. In this paper, a new body-force model that can capture the three-dimensional and unsteady features of stall and surge in compressors at a fraction of time required for URANS computations is proposed. To predict the rotating stall characteristics, the deviation of local airflow angle from the blade surface is calculated locally during the simulation. According to this local deviation, the computational domain is divided into stalled and forward flow regions, and the body-force field is updated accordingly
    description abstractto predict the surge characteristics, the local airflow direction is used to divide the computational domain into reverse flow regions and forward flow regions. A single-stage axial compressor and a three-stage axial compressor are used to verify the proposed model. The results show that the method is capable of capturing stall and surge characteristics correctly. Compared to the traditional fully three-dimensional URANS method (fRANS), the simulation time for multistage axial compressors is reduced by 1–2 orders of magnitude.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Method of Stall and Surge Prediction in Axial Compressors Based on Three-Dimensional Body-Force Model
    typeJournal Paper
    journal volume144
    journal issue3
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4053103
    journal fristpage31021-1
    journal lastpage31021-11
    page11
    treeJournal of Engineering for Gas Turbines and Power:;2022:;volume( 144 ):;issue: 003
    contenttypeFulltext
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