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    Performance Determination of Axial Wind Tunnel Fan With Reverse Engineering, Numerical and Experimental Methods

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 004::page 41002-1
    Author:
    Kocak, Eyup
    ,
    Ayli, Ece
    DOI: 10.1115/1.4053672
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In today’s technology, in case of the need for rehabilitation, renovation, or damage, it is necessary to recover the problems quickly with a cost-effective approach. In the case of destructive failure, or misdesign of the devices, replacing the problematic part with the new design is crucial. In order to substitute the related part with the efficient one, reverse engineering (RE) methodology is utilized. In this paper, from the perspective of engineering implementation and based on the idea of reverse engineering, axial wind tunnel fan is rehabilitated using numerical and experimental methods. The current study is focused on an axial pressurization fan placed into Cankaya University Mechanical Engineering Laboratory wind tunnel that has firm guaranteed specifications of 5.55 m3/s airflow capacity. The measurements performed during experiments showed that the fan provides less than 60% airflow compared with firm guaranteed specifications. In order to determine the problems of the existing fan, a reverse engineering methodology is developed, and the noncontact data acquisition method is used to form a computer aided drawing (CAD) model. A computational fluid dynamics (CFD) methodology is developed to analyze existing geometry numerically, and results are compared with an experimental study to verify numerical methodology. According to the results, the prediction accuracy of the numerical method can attain 92.95% and 96.38% for flowrate and efficiency, respectively, at the maximum error points.
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      Performance Determination of Axial Wind Tunnel Fan With Reverse Engineering, Numerical and Experimental Methods

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    contributor authorKocak, Eyup
    contributor authorAyli, Ece
    date accessioned2022-05-08T09:30:50Z
    date available2022-05-08T09:30:50Z
    date copyright2/7/2022 12:00:00 AM
    date issued2022
    identifier issn1530-9827
    identifier otherjcise_22_4_041002.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4285226
    description abstractIn today’s technology, in case of the need for rehabilitation, renovation, or damage, it is necessary to recover the problems quickly with a cost-effective approach. In the case of destructive failure, or misdesign of the devices, replacing the problematic part with the new design is crucial. In order to substitute the related part with the efficient one, reverse engineering (RE) methodology is utilized. In this paper, from the perspective of engineering implementation and based on the idea of reverse engineering, axial wind tunnel fan is rehabilitated using numerical and experimental methods. The current study is focused on an axial pressurization fan placed into Cankaya University Mechanical Engineering Laboratory wind tunnel that has firm guaranteed specifications of 5.55 m3/s airflow capacity. The measurements performed during experiments showed that the fan provides less than 60% airflow compared with firm guaranteed specifications. In order to determine the problems of the existing fan, a reverse engineering methodology is developed, and the noncontact data acquisition method is used to form a computer aided drawing (CAD) model. A computational fluid dynamics (CFD) methodology is developed to analyze existing geometry numerically, and results are compared with an experimental study to verify numerical methodology. According to the results, the prediction accuracy of the numerical method can attain 92.95% and 96.38% for flowrate and efficiency, respectively, at the maximum error points.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePerformance Determination of Axial Wind Tunnel Fan With Reverse Engineering, Numerical and Experimental Methods
    typeJournal Paper
    journal volume22
    journal issue4
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4053672
    journal fristpage41002-1
    journal lastpage41002-16
    page16
    treeJournal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 004
    contenttypeFulltext
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