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    Nacelle Inlet Optimization at High Angles of Attack Based on the Ensemble Indicator Method

    Source: Journal of Aerospace Engineering:;2022:;Volume ( 035 ):;issue: 002::page 06022001
    Author:
    Chen Cao
    ,
    Shuyue Wang
    ,
    Cong Wang
    ,
    Xintao Zhang
    ,
    Gang Sun
    DOI: 10.1061/(ASCE)AS.1943-5525.0001398
    Publisher: ASCE
    Abstract: Inlet separation is one of the primary sources of distortion at fan entrances. High angles of attack (AOAs) are the critical cause of inlet separation. Optimizing the inlet shape to increase the separation angle is of great engineering significance. However, calculating the separation angles of different inlet shapes requires extensive computation. To address this problem, an ensemble indicator, the antiseparation potential index (ASPI), is proposed in this paper. The ASPI is based on the circumferential distortion index (IDC) of the engine under multiple AOAs. The characteristics of both the separation angle and distortion level are comprehensively reflected in the ASPI. The use of this index can avoid the need for an enormous amount of computation and can better describe the ability of the inlet to resist separation at a higher AOA, both of which are more suitable for inlet design. A Kriging–particle swarm optimization (PSO) design model was applied to tackle the high-cost computational fluid dynamics (CFD) simulations and search for an optimal solution. The results show that the critical AOA at which intake separation occurs is successfully increased by approximately 8°, demonstrating the feasibility of the ASPI in engineering design.
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      Nacelle Inlet Optimization at High Angles of Attack Based on the Ensemble Indicator Method

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4283524
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    • Journal of Aerospace Engineering

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    contributor authorChen Cao
    contributor authorShuyue Wang
    contributor authorCong Wang
    contributor authorXintao Zhang
    contributor authorGang Sun
    date accessioned2022-05-07T21:16:21Z
    date available2022-05-07T21:16:21Z
    date issued2022-01-03
    identifier other(ASCE)AS.1943-5525.0001398.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283524
    description abstractInlet separation is one of the primary sources of distortion at fan entrances. High angles of attack (AOAs) are the critical cause of inlet separation. Optimizing the inlet shape to increase the separation angle is of great engineering significance. However, calculating the separation angles of different inlet shapes requires extensive computation. To address this problem, an ensemble indicator, the antiseparation potential index (ASPI), is proposed in this paper. The ASPI is based on the circumferential distortion index (IDC) of the engine under multiple AOAs. The characteristics of both the separation angle and distortion level are comprehensively reflected in the ASPI. The use of this index can avoid the need for an enormous amount of computation and can better describe the ability of the inlet to resist separation at a higher AOA, both of which are more suitable for inlet design. A Kriging–particle swarm optimization (PSO) design model was applied to tackle the high-cost computational fluid dynamics (CFD) simulations and search for an optimal solution. The results show that the critical AOA at which intake separation occurs is successfully increased by approximately 8°, demonstrating the feasibility of the ASPI in engineering design.
    publisherASCE
    titleNacelle Inlet Optimization at High Angles of Attack Based on the Ensemble Indicator Method
    typeJournal Paper
    journal volume35
    journal issue2
    journal titleJournal of Aerospace Engineering
    identifier doi10.1061/(ASCE)AS.1943-5525.0001398
    journal fristpage06022001
    journal lastpage06022001-12
    page12
    treeJournal of Aerospace Engineering:;2022:;Volume ( 035 ):;issue: 002
    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