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    Blade Excitation Alleviation of a Nozzleless Radial Turbine by Casing Treatment Based on Reduced-Order Model

    Source: Journal of Engineering for Gas Turbines and Power:;2024:;volume( 147 ):;issue: 008::page 81004-1
    Author:
    Yang, Mingyang
    ,
    Lu, Zhaokai
    ,
    Sato, Wataru
    ,
    Kuwata, Teppei
    DOI: 10.1115/1.4067064
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: High cycle fatigue (HCF) is the most common form of blade failure in nozzleless radial turbines. Current studies relating to blade vibration reduction focus on redesign of blade and volute geometries. These methods have the drawbacks of time-consuming, performance sacrifice and lack of generalizability. This paper investigates a novel flow control method for blade vibration reduction without sacrificing the aerodynamic performance based on a reduced-order model. First, the mechanism of the blade excitation is studied by the numerical method validated by experimental measurement. It is confirmed that the blade excitation is triggered by different mechanism between low- and high-pressure ratios. An equivalent excitation pressure is proposed to quantitatively evaluate vibration behaviors of the turbine blade. Based on the mechanism, a reduced-order model is developed to predict the equivalent excitation pressure at high pressure ratio when the excitation is triggered mainly be the disturbance of potential flow field. The method of casing treatment is proposed inspired by the reduced-order model and then optimized to attenuate the blade vibration. The experiment is carried out for the validation of the method and results show that the displacement of the vibration is reduce by 48% by this new method.
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      Blade Excitation Alleviation of a Nozzleless Radial Turbine by Casing Treatment Based on Reduced-Order Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4305466
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    contributor authorYang, Mingyang
    contributor authorLu, Zhaokai
    contributor authorSato, Wataru
    contributor authorKuwata, Teppei
    date accessioned2025-04-21T10:05:09Z
    date available2025-04-21T10:05:09Z
    date copyright12/23/2024 12:00:00 AM
    date issued2024
    identifier issn0742-4795
    identifier othergtp_147_08_081004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305466
    description abstractHigh cycle fatigue (HCF) is the most common form of blade failure in nozzleless radial turbines. Current studies relating to blade vibration reduction focus on redesign of blade and volute geometries. These methods have the drawbacks of time-consuming, performance sacrifice and lack of generalizability. This paper investigates a novel flow control method for blade vibration reduction without sacrificing the aerodynamic performance based on a reduced-order model. First, the mechanism of the blade excitation is studied by the numerical method validated by experimental measurement. It is confirmed that the blade excitation is triggered by different mechanism between low- and high-pressure ratios. An equivalent excitation pressure is proposed to quantitatively evaluate vibration behaviors of the turbine blade. Based on the mechanism, a reduced-order model is developed to predict the equivalent excitation pressure at high pressure ratio when the excitation is triggered mainly be the disturbance of potential flow field. The method of casing treatment is proposed inspired by the reduced-order model and then optimized to attenuate the blade vibration. The experiment is carried out for the validation of the method and results show that the displacement of the vibration is reduce by 48% by this new method.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleBlade Excitation Alleviation of a Nozzleless Radial Turbine by Casing Treatment Based on Reduced-Order Model
    typeJournal Paper
    journal volume147
    journal issue8
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4067064
    journal fristpage81004-1
    journal lastpage81004-15
    page15
    treeJournal of Engineering for Gas Turbines and Power:;2024:;volume( 147 ):;issue: 008
    contenttypeFulltext
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