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    Nonlinear Modeling of Mechanical Gas Face Seal Systems Using Proper Orthogonal Decomposition

    Source: Journal of Tribology:;2006:;volume( 128 ):;issue: 004::page 817
    Author:
    Haojiong Zhang
    ,
    Brad A. Miller
    ,
    Robert G. Landers
    DOI: 10.1115/1.2345405
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An approach based on proper orthogonal decomposition and Galerkin projection is presented for developing low-order nonlinear models of the gas film pressure within mechanical gas face seals. A technique is developed for determining an optimal set of global basis functions for the pressure field using data measured experimentally or obtained numerically from simulations of the seal motion. The reduced-order gas film models are shown to be computationally efficient compared to full-order models developed using the conventional semidiscretization methods. An example of a coned mechanical gas face seal in a flexibly mounted stator configuration is presented. Axial and tilt modes of stator motion are modeled, and simulation studies are conducted using different initial conditions and force inputs. The reduced-order models are shown to be applicable to seals operating within a wide range of compressibility numbers, and results are provided that demonstrate the global reduced-order model is capable of predicting the nonlinear gas film forces even with large deviations from the equilibrium clearance.
    keyword(s): Force , Pressure , Compressibility , Motion , Equilibrium (Physics) , Clearances (Engineering) , Engineering simulation , Modeling , Functions , Principal component analysis , Stators AND Equations ,
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      Nonlinear Modeling of Mechanical Gas Face Seal Systems Using Proper Orthogonal Decomposition

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/134679
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    contributor authorHaojiong Zhang
    contributor authorBrad A. Miller
    contributor authorRobert G. Landers
    date accessioned2017-05-09T00:21:38Z
    date available2017-05-09T00:21:38Z
    date copyrightOctober, 2006
    date issued2006
    identifier issn0742-4787
    identifier otherJOTRE9-28744#817_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/134679
    description abstractAn approach based on proper orthogonal decomposition and Galerkin projection is presented for developing low-order nonlinear models of the gas film pressure within mechanical gas face seals. A technique is developed for determining an optimal set of global basis functions for the pressure field using data measured experimentally or obtained numerically from simulations of the seal motion. The reduced-order gas film models are shown to be computationally efficient compared to full-order models developed using the conventional semidiscretization methods. An example of a coned mechanical gas face seal in a flexibly mounted stator configuration is presented. Axial and tilt modes of stator motion are modeled, and simulation studies are conducted using different initial conditions and force inputs. The reduced-order models are shown to be applicable to seals operating within a wide range of compressibility numbers, and results are provided that demonstrate the global reduced-order model is capable of predicting the nonlinear gas film forces even with large deviations from the equilibrium clearance.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleNonlinear Modeling of Mechanical Gas Face Seal Systems Using Proper Orthogonal Decomposition
    typeJournal Paper
    journal volume128
    journal issue4
    journal titleJournal of Tribology
    identifier doi10.1115/1.2345405
    journal fristpage817
    journal lastpage827
    identifier eissn1528-8897
    keywordsForce
    keywordsPressure
    keywordsCompressibility
    keywordsMotion
    keywordsEquilibrium (Physics)
    keywordsClearances (Engineering)
    keywordsEngineering simulation
    keywordsModeling
    keywordsFunctions
    keywordsPrincipal component analysis
    keywordsStators AND Equations
    treeJournal of Tribology:;2006:;volume( 128 ):;issue: 004
    contenttypeFulltext
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