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    Overview of The Best 2020 Axial-Flow Fan Data and Inclusion in Similarity Charts for the Search of the Best Design

    Source: Journal of Turbomachinery:;2022:;volume( 144 ):;issue: 009::page 91012-1
    Author:
    Masi, Massimo
    ,
    Danieli, Piero
    ,
    Lazzaretto, Andrea
    DOI: 10.1115/1.4053535
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This article deals with the aerodynamic performance of ducted axial-flow fans available in the 2020 market and aims to create a general picture of the best designs and design trends, as a tool for fan designers. To this end, this article first presents the general formulation of the similarity approach to the fan performance analysis, including the effects of rotational speed (which affects the validity of the Reynolds similarity) and turbomachine size (which can hinder the perfect geometrical similarity of some shape details). The second part reports a statistical survey of the axial-flow fan performance based on data from catalogues of major manufacturers and compares the resulting Cordier lines with optimum fan designs from empirical or computational fluid-dynamics (CFD)-based models available in the literature. In addition to the global performance at maximum aeraulic and total-to-static efficiencies, this survey uses the form of dimensionless Balje–Cordier charts to identify the trends and values of other design parameters, such as hub-to-tip ratio, blade count, and blade positioning angle. As a result, a summary of the aerodynamic performance of year 2020 best designs, the improvements achieved during the last 40 years, and the present design trends in contrarotating, vane-axial, and tube-axial fan types are made available to fan designers.
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      Overview of The Best 2020 Axial-Flow Fan Data and Inclusion in Similarity Charts for the Search of the Best Design

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4284577
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    contributor authorMasi, Massimo
    contributor authorDanieli, Piero
    contributor authorLazzaretto, Andrea
    date accessioned2022-05-08T08:58:35Z
    date available2022-05-08T08:58:35Z
    date copyright3/16/2022 12:00:00 AM
    date issued2022
    identifier issn0889-504X
    identifier otherturbo_144_9_091012.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284577
    description abstractThis article deals with the aerodynamic performance of ducted axial-flow fans available in the 2020 market and aims to create a general picture of the best designs and design trends, as a tool for fan designers. To this end, this article first presents the general formulation of the similarity approach to the fan performance analysis, including the effects of rotational speed (which affects the validity of the Reynolds similarity) and turbomachine size (which can hinder the perfect geometrical similarity of some shape details). The second part reports a statistical survey of the axial-flow fan performance based on data from catalogues of major manufacturers and compares the resulting Cordier lines with optimum fan designs from empirical or computational fluid-dynamics (CFD)-based models available in the literature. In addition to the global performance at maximum aeraulic and total-to-static efficiencies, this survey uses the form of dimensionless Balje–Cordier charts to identify the trends and values of other design parameters, such as hub-to-tip ratio, blade count, and blade positioning angle. As a result, a summary of the aerodynamic performance of year 2020 best designs, the improvements achieved during the last 40 years, and the present design trends in contrarotating, vane-axial, and tube-axial fan types are made available to fan designers.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOverview of The Best 2020 Axial-Flow Fan Data and Inclusion in Similarity Charts for the Search of the Best Design
    typeJournal Paper
    journal volume144
    journal issue9
    journal titleJournal of Turbomachinery
    identifier doi10.1115/1.4053535
    journal fristpage91012-1
    journal lastpage91012-9
    page9
    treeJournal of Turbomachinery:;2022:;volume( 144 ):;issue: 009
    contenttypeFulltext
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