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    Guideline for Large-Scale Analysis of Centrifugal Blower Using Wall-Resolved Large Eddy Simulation

    Source: Journal of Turbomachinery:;2024:;volume( 147 ):;issue: 002::page 21005-1
    Author:
    Tsukamoto, Kazuhiro
    ,
    Kato, Chisachi
    DOI: 10.1115/1.4066277
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: To reduce the number of prototypes during product design and accurately predict unsteady phenomena occurring at off-design points, a method for accurately predicting the performance of centrifugal blowers through numerical analysis is required. This article presents a guideline for accurately predicting the performance of centrifugal blowers using compressible flow analysis with large eddy simulation (LES). In LES analysis, it is important to have a grid resolution that resolves the minimum vortex scale near the wall (referred to as wall-resolved LES) and to consider detailed geometry such as the length of the suction pipe. The calculations in this study used a model blower, which is a scale model of a single-stage centrifugal blower for use in industrial plants. The model blower was experimentally measured for various parameters such as the blower pressure coefficient, the static-pressure-rise coefficients of the impeller and vane-less diffuser, the shaft power, and the pressure fluctuations at the inlet of the impeller and the inlet of the vane-less diffuser. The results of these measurements were compared with those obtained from the wall-resolved LES. The study confirmed that the accuracy of performance prediction can be improved to less than a 4.0% error in the blower pressure coefficient at both design and off-design operating points by resolving the minimum vortex scale with 14.6 billion-grid elements and considering the detailed geometry.
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      Guideline for Large-Scale Analysis of Centrifugal Blower Using Wall-Resolved Large Eddy Simulation

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    contributor authorTsukamoto, Kazuhiro
    contributor authorKato, Chisachi
    date accessioned2025-04-21T10:08:35Z
    date available2025-04-21T10:08:35Z
    date copyright10/7/2024 12:00:00 AM
    date issued2024
    identifier issn0889-504X
    identifier otherturbo_147_2_021005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305584
    description abstractTo reduce the number of prototypes during product design and accurately predict unsteady phenomena occurring at off-design points, a method for accurately predicting the performance of centrifugal blowers through numerical analysis is required. This article presents a guideline for accurately predicting the performance of centrifugal blowers using compressible flow analysis with large eddy simulation (LES). In LES analysis, it is important to have a grid resolution that resolves the minimum vortex scale near the wall (referred to as wall-resolved LES) and to consider detailed geometry such as the length of the suction pipe. The calculations in this study used a model blower, which is a scale model of a single-stage centrifugal blower for use in industrial plants. The model blower was experimentally measured for various parameters such as the blower pressure coefficient, the static-pressure-rise coefficients of the impeller and vane-less diffuser, the shaft power, and the pressure fluctuations at the inlet of the impeller and the inlet of the vane-less diffuser. The results of these measurements were compared with those obtained from the wall-resolved LES. The study confirmed that the accuracy of performance prediction can be improved to less than a 4.0% error in the blower pressure coefficient at both design and off-design operating points by resolving the minimum vortex scale with 14.6 billion-grid elements and considering the detailed geometry.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleGuideline for Large-Scale Analysis of Centrifugal Blower Using Wall-Resolved Large Eddy Simulation
    typeJournal Paper
    journal volume147
    journal issue2
    journal titleJournal of Turbomachinery
    identifier doi10.1115/1.4066277
    journal fristpage21005-1
    journal lastpage21005-16
    page16
    treeJournal of Turbomachinery:;2024:;volume( 147 ):;issue: 002
    contenttypeFulltext
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