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    Aerodynamic Damping Predictions During Compressor Surge: A Numerical Comparison Between a Half and Full Transient Approach

    Source: Journal of Engineering for Gas Turbines and Power:;2022:;volume( 145 ):;issue: 002::page 21019-1
    Author:
    Reiber, Christoph
    ,
    Chenaux, Virginie Anne
    ,
    Belz, Joachim
    DOI: 10.1115/1.4055883
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The prediction of the aerodynamic damping during compressor surge is a challenging task, because the flow is continuously evolving along the four surge cycle phases: pressurization (PR), flow-breakdown (FB), reversed flow (RF), and regeneration (RG), and complex flow conditions such as shocks and separations occur. Damping predictions with current existing methods typically consist of two steps. In the first step, a modified numerical model is used to simulate transient surge cycles. In the second step, damping analyses are performed for multiple timesteps along the surge cycle phases, which are then assumed as quasi-steady. The damping simulation can be performed using nonlinear or linear approaches. If shocks or separations occur, the latter yields inaccuracies in the flow and thus in the damping predictions. A new approach was developed to take into account and improve these inaccuracies. This new method includes the damping prediction within the transient surge simulation. Thus, all surge cycle phases and the continuously evolving flow conditions are considered, and nonlinear simulations are performed to account for shocks and separations. The results of this new method are presented and compared to the former method.
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      Aerodynamic Damping Predictions During Compressor Surge: A Numerical Comparison Between a Half and Full Transient Approach

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4291821
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    • Journal of Engineering for Gas Turbines and Power

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    contributor authorReiber, Christoph
    contributor authorChenaux, Virginie Anne
    contributor authorBelz, Joachim
    date accessioned2023-08-16T18:19:20Z
    date available2023-08-16T18:19:20Z
    date copyright11/29/2022 12:00:00 AM
    date issued2022
    identifier issn0742-4795
    identifier othergtp_145_02_021019.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4291821
    description abstractThe prediction of the aerodynamic damping during compressor surge is a challenging task, because the flow is continuously evolving along the four surge cycle phases: pressurization (PR), flow-breakdown (FB), reversed flow (RF), and regeneration (RG), and complex flow conditions such as shocks and separations occur. Damping predictions with current existing methods typically consist of two steps. In the first step, a modified numerical model is used to simulate transient surge cycles. In the second step, damping analyses are performed for multiple timesteps along the surge cycle phases, which are then assumed as quasi-steady. The damping simulation can be performed using nonlinear or linear approaches. If shocks or separations occur, the latter yields inaccuracies in the flow and thus in the damping predictions. A new approach was developed to take into account and improve these inaccuracies. This new method includes the damping prediction within the transient surge simulation. Thus, all surge cycle phases and the continuously evolving flow conditions are considered, and nonlinear simulations are performed to account for shocks and separations. The results of this new method are presented and compared to the former method.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAerodynamic Damping Predictions During Compressor Surge: A Numerical Comparison Between a Half and Full Transient Approach
    typeJournal Paper
    journal volume145
    journal issue2
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4055883
    journal fristpage21019-1
    journal lastpage21019-6
    page6
    treeJournal of Engineering for Gas Turbines and Power:;2022:;volume( 145 ):;issue: 002
    contenttypeFulltext
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