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    Structural Optimization of the Main Bearing in a Tunnel Boring Machine Considering Clearance

    Source: Journal of Tribology:;2024:;volume( 146 ):;issue: 004::page 44301-1
    Author:
    Wang, Xinqi
    ,
    Sun, Wei
    ,
    Wang, Lintao
    ,
    Liang, Shihu
    ,
    Mu, Xiaokai
    DOI: 10.1115/1.4064019
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An optimal design method for the main bearing of a tunnel boring machine is proposed. In this method, the fatigue life is used as the objective function. Structural parameters, including clearance, are considered as design variables. First, a quasi-static model of the main bearing and a calculation model of the fatigue life are established. The correctness of the theoretical method is verified by comparing it with the calculation results of the finite element method. Next, the influence of clearance on the load-carrying performance under external loads is analyzed. There is an optimal negative clearance for the axial loaded and radial rows. With the increase in the external loads, the optimal negative clearance gradually decreases. The variation laws of the load-carrying performance for the axial loaded and supporting rows affected by axial clearance mainly depend on the bias load degree of the main bearing. Finally, based on the optimal design model of the main bearing, the optimal internal structure is obtained using the genetic algorithm. The optimized fatigue life is improved by 92.2%. The load-carrying performance of the optimal main bearing has also been significantly enhanced compared to the initial design. Therefore, the proposed optimization method provides a practical approach to the main bearing design.
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      Structural Optimization of the Main Bearing in a Tunnel Boring Machine Considering Clearance

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4302508
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    • Journal of Tribology

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    contributor authorWang, Xinqi
    contributor authorSun, Wei
    contributor authorWang, Lintao
    contributor authorLiang, Shihu
    contributor authorMu, Xiaokai
    date accessioned2024-12-24T18:39:13Z
    date available2024-12-24T18:39:13Z
    date copyright1/12/2024 12:00:00 AM
    date issued2024
    identifier issn0742-4787
    identifier othertrib_146_4_044301.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302508
    description abstractAn optimal design method for the main bearing of a tunnel boring machine is proposed. In this method, the fatigue life is used as the objective function. Structural parameters, including clearance, are considered as design variables. First, a quasi-static model of the main bearing and a calculation model of the fatigue life are established. The correctness of the theoretical method is verified by comparing it with the calculation results of the finite element method. Next, the influence of clearance on the load-carrying performance under external loads is analyzed. There is an optimal negative clearance for the axial loaded and radial rows. With the increase in the external loads, the optimal negative clearance gradually decreases. The variation laws of the load-carrying performance for the axial loaded and supporting rows affected by axial clearance mainly depend on the bias load degree of the main bearing. Finally, based on the optimal design model of the main bearing, the optimal internal structure is obtained using the genetic algorithm. The optimized fatigue life is improved by 92.2%. The load-carrying performance of the optimal main bearing has also been significantly enhanced compared to the initial design. Therefore, the proposed optimization method provides a practical approach to the main bearing design.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStructural Optimization of the Main Bearing in a Tunnel Boring Machine Considering Clearance
    typeJournal Paper
    journal volume146
    journal issue4
    journal titleJournal of Tribology
    identifier doi10.1115/1.4064019
    journal fristpage44301-1
    journal lastpage44301-13
    page13
    treeJournal of Tribology:;2024:;volume( 146 ):;issue: 004
    contenttypeFulltext
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    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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