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    Analysis and Optimization of a Vaned Diffuser in a Mixed Flow Pump to Improve Hydrodynamic Performance

    Source: Journal of Fluids Engineering:;2012:;volume( 134 ):;issue: 007::page 71104
    Author:
    Jin-Hyuk Kim
    ,
    Kwang-Yong Kim
    DOI: 10.1115/1.4006820
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Hydrodynamic analysis and an optimization of a vaned diffuser in a mixed-flow pump are performed in this work. Numerical analysis is carried out by solving three-dimensional Reynolds-averaged Navier-Stokes equations using the shear stress transport turbulence model. A validation of numerical results is conducted by comparison with experimental data for the head, power, and efficiency. An optimization process based on a radial basis neural network model is performed with four design variables that define the straight vane length ratio, the diffusion area ratio, the angle at the diffuser vane tip, and the distance ratio between the impeller blade trailing edge and the diffuser vane leading edge. Efficiency as a hydrodynamic performance parameter is selected as the objective function for optimization. The objective function is numerically assessed at design points selected by Latin hypercube sampling in the design space. The optimization yielded a maximum increase in efficiency of 9.75% at the design flow coefficient compared to a reference design. The performance curve for efficiency was also enhanced in the high flow rate region. Detailed internal flow fields between the reference and optimum designs are analyzed and discussed.
    keyword(s): Design , Optimization , Pumps , Flow (Dynamics) , Diffusers , Blades AND Internal flow ,
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      Analysis and Optimization of a Vaned Diffuser in a Mixed Flow Pump to Improve Hydrodynamic Performance

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/149110
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    contributor authorJin-Hyuk Kim
    contributor authorKwang-Yong Kim
    date accessioned2017-05-09T00:51:14Z
    date available2017-05-09T00:51:14Z
    date copyrightJuly, 2012
    date issued2012
    identifier issn0098-2202
    identifier otherJFEGA4-27539#071104_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/149110
    description abstractHydrodynamic analysis and an optimization of a vaned diffuser in a mixed-flow pump are performed in this work. Numerical analysis is carried out by solving three-dimensional Reynolds-averaged Navier-Stokes equations using the shear stress transport turbulence model. A validation of numerical results is conducted by comparison with experimental data for the head, power, and efficiency. An optimization process based on a radial basis neural network model is performed with four design variables that define the straight vane length ratio, the diffusion area ratio, the angle at the diffuser vane tip, and the distance ratio between the impeller blade trailing edge and the diffuser vane leading edge. Efficiency as a hydrodynamic performance parameter is selected as the objective function for optimization. The objective function is numerically assessed at design points selected by Latin hypercube sampling in the design space. The optimization yielded a maximum increase in efficiency of 9.75% at the design flow coefficient compared to a reference design. The performance curve for efficiency was also enhanced in the high flow rate region. Detailed internal flow fields between the reference and optimum designs are analyzed and discussed.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAnalysis and Optimization of a Vaned Diffuser in a Mixed Flow Pump to Improve Hydrodynamic Performance
    typeJournal Paper
    journal volume134
    journal issue7
    journal titleJournal of Fluids Engineering
    identifier doi10.1115/1.4006820
    journal fristpage71104
    identifier eissn1528-901X
    keywordsDesign
    keywordsOptimization
    keywordsPumps
    keywordsFlow (Dynamics)
    keywordsDiffusers
    keywordsBlades AND Internal flow
    treeJournal of Fluids Engineering:;2012:;volume( 134 ):;issue: 007
    contenttypeFulltext
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