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    Parametric Analysis and Optimization of Leaning Angle in Torque Converters

    Source: Journal of Fluids Engineering:;2020:;volume( 142 ):;issue: 010::page 0101208-1
    Author:
    Liu, Cheng
    ,
    Guo, Meng
    ,
    Yan, Qingdong
    ,
    Wei, Wei
    ,
    Wood, Houston G.
    DOI: 10.1115/1.4047412
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Torque converters are durable fluid couplings that can provide output torque multiplication. Blade leaning angle represents the angular position of a blade chord with respect to its radial reference line, and it is an important blade variable regarding both hydrodynamic performance and manufacturability of a torque converter. In traditional design processes, blade leaning angles are often determined based on experiences of engineers; hence, this study proposed a design approach using the combination of computational fluid dynamics (CFD) and optimization. Two CFD models were developed to design blade leaning angles. A steady-state periodic CFD model was employed for the parameter study and the optimization, and a transient full three-dimensional (3D) model was performed to study the flow mechanism and evaluate the performance with higher accuracy. Design of experiment (DOE) technique was employed to investigate the relationship between blade leaning angles and hydrodynamic performance, and a reduced cubic model was derived from the results. It was found that blade leaning angles had profound effects on torque converter performance; a large blade leaning angle intensified the flow blockage effect, thus resulting in a lower mass flowrate and torque capacity. Seven torque converters with different blade leaning angles were tested to validate the obtained numerical results, and the test data were found to be in good agreement with the CFD predictions. Finally, the hydrodynamic performance of the base model torque converter was optimized by a multi-objective genetic algorithm.
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      Parametric Analysis and Optimization of Leaning Angle in Torque Converters

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    contributor authorLiu, Cheng
    contributor authorGuo, Meng
    contributor authorYan, Qingdong
    contributor authorWei, Wei
    contributor authorWood, Houston G.
    date accessioned2022-02-04T21:58:00Z
    date available2022-02-04T21:58:00Z
    date copyright6/29/2020 12:00:00 AM
    date issued2020
    identifier issn0098-2202
    identifier otherfe_142_10_101208.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4274617
    description abstractTorque converters are durable fluid couplings that can provide output torque multiplication. Blade leaning angle represents the angular position of a blade chord with respect to its radial reference line, and it is an important blade variable regarding both hydrodynamic performance and manufacturability of a torque converter. In traditional design processes, blade leaning angles are often determined based on experiences of engineers; hence, this study proposed a design approach using the combination of computational fluid dynamics (CFD) and optimization. Two CFD models were developed to design blade leaning angles. A steady-state periodic CFD model was employed for the parameter study and the optimization, and a transient full three-dimensional (3D) model was performed to study the flow mechanism and evaluate the performance with higher accuracy. Design of experiment (DOE) technique was employed to investigate the relationship between blade leaning angles and hydrodynamic performance, and a reduced cubic model was derived from the results. It was found that blade leaning angles had profound effects on torque converter performance; a large blade leaning angle intensified the flow blockage effect, thus resulting in a lower mass flowrate and torque capacity. Seven torque converters with different blade leaning angles were tested to validate the obtained numerical results, and the test data were found to be in good agreement with the CFD predictions. Finally, the hydrodynamic performance of the base model torque converter was optimized by a multi-objective genetic algorithm.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleParametric Analysis and Optimization of Leaning Angle in Torque Converters
    typeJournal Paper
    journal volume142
    journal issue10
    journal titleJournal of Fluids Engineering
    identifier doi10.1115/1.4047412
    journal fristpage0101208-1
    journal lastpage0101208-12
    page12
    treeJournal of Fluids Engineering:;2020:;volume( 142 ):;issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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