YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Turbomachinery
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Turbomachinery
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    The Implications of Tolerance Optimization on Compressor Blade Design

    Source: Journal of Turbomachinery:;2015:;volume( 137 ):;issue: 010::page 101008
    Author:
    Dow, Eric A.
    ,
    Wang, Qiqi
    DOI: 10.1115/1.4030791
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Geometric variability increases performance variability and degrades the mean performance of turbomachinery compressor blades. These detrimental effects can be reduced by using robust optimization to design the blade geometry or by imposing stricter manufacturing tolerances. This paper presents a novel computational framework for optimizing compressor blade manufacturing tolerances and incorporates this framework into existing robust geometry design frameworks. Optimizations of an exit guide vane geometry are conducted. When the design is optimized to improve performance at a single operating point, the optimal geometry is found to depend on the manufacturing tolerances due to a switch in the dominant loss mechanism. Including multiple operating points in the optimization avoids this switch so that the geometry and tolerance optimization problems are decoupled.
    • Download: (1.443Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      The Implications of Tolerance Optimization on Compressor Blade Design

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/159981
    Collections
    • Journal of Turbomachinery

    Show full item record

    contributor authorDow, Eric A.
    contributor authorWang, Qiqi
    date accessioned2017-05-09T01:24:47Z
    date available2017-05-09T01:24:47Z
    date issued2015
    identifier issn0889-504X
    identifier otherturbo_137_10_101008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/159981
    description abstractGeometric variability increases performance variability and degrades the mean performance of turbomachinery compressor blades. These detrimental effects can be reduced by using robust optimization to design the blade geometry or by imposing stricter manufacturing tolerances. This paper presents a novel computational framework for optimizing compressor blade manufacturing tolerances and incorporates this framework into existing robust geometry design frameworks. Optimizations of an exit guide vane geometry are conducted. When the design is optimized to improve performance at a single operating point, the optimal geometry is found to depend on the manufacturing tolerances due to a switch in the dominant loss mechanism. Including multiple operating points in the optimization avoids this switch so that the geometry and tolerance optimization problems are decoupled.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleThe Implications of Tolerance Optimization on Compressor Blade Design
    typeJournal Paper
    journal volume137
    journal issue10
    journal titleJournal of Turbomachinery
    identifier doi10.1115/1.4030791
    journal fristpage101008
    journal lastpage101008
    identifier eissn1528-8900
    treeJournal of Turbomachinery:;2015:;volume( 137 ):;issue: 010
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian