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    Optimization of Fixture Layout Based on Error Amplification Factors

    Source: Journal of Computing and Information Science in Engineering:;2018:;volume( 018 ):;issue: 004::page 41007
    Author:
    Wan, Xiao-Jin
    ,
    Yang, Junqiang
    ,
    Zhang, Hanjie
    ,
    Feng, Zhi-Yong
    ,
    Xu, Zhigang
    DOI: 10.1115/1.4040607
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Fixture locators are used to precisely locate and stably support a workpiece so that the desired position and orientation (pose) of the workpiece relative to the cutting tool can be maintained during machining or inspection process. It is believed that manufacturing errors of locators and locating datum surfaces are key factors for the pose error between the workpiece and the cutting tool. Optimizing the layout of locators is helpful to reduce the pose error so as to improve machining accuracy of the workpiece. In order to minimize the pose error, we introduced, for the first time, a singular value decomposition (SVD) technique for the location matrix to derive error amplification factors (EAF) in six degrees-of-freedom of the workpiece. The EAF principle defines the maximal singular value, the condition number, the product of all singular values and the manipulability as the maximal error amplification factor, the relative error amplification factor, the error ellipsoid volume and the location stability, respectively. The four defined indices taken as objective functions are optimized, by a nondominated sort genetic algorithm (NSGA-II), so that an optimal layout of locators is obtained due to the minimization of the pose error. Also, the feasibility of the proposed method was comprehensively validated by simulation and machining experiments.
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      Optimization of Fixture Layout Based on Error Amplification Factors

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4253844
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    contributor authorWan, Xiao-Jin
    contributor authorYang, Junqiang
    contributor authorZhang, Hanjie
    contributor authorFeng, Zhi-Yong
    contributor authorXu, Zhigang
    date accessioned2019-02-28T11:12:31Z
    date available2019-02-28T11:12:31Z
    date copyright7/5/2018 12:00:00 AM
    date issued2018
    identifier issn1530-9827
    identifier otherjcise_018_04_041007.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253844
    description abstractFixture locators are used to precisely locate and stably support a workpiece so that the desired position and orientation (pose) of the workpiece relative to the cutting tool can be maintained during machining or inspection process. It is believed that manufacturing errors of locators and locating datum surfaces are key factors for the pose error between the workpiece and the cutting tool. Optimizing the layout of locators is helpful to reduce the pose error so as to improve machining accuracy of the workpiece. In order to minimize the pose error, we introduced, for the first time, a singular value decomposition (SVD) technique for the location matrix to derive error amplification factors (EAF) in six degrees-of-freedom of the workpiece. The EAF principle defines the maximal singular value, the condition number, the product of all singular values and the manipulability as the maximal error amplification factor, the relative error amplification factor, the error ellipsoid volume and the location stability, respectively. The four defined indices taken as objective functions are optimized, by a nondominated sort genetic algorithm (NSGA-II), so that an optimal layout of locators is obtained due to the minimization of the pose error. Also, the feasibility of the proposed method was comprehensively validated by simulation and machining experiments.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOptimization of Fixture Layout Based on Error Amplification Factors
    typeJournal Paper
    journal volume18
    journal issue4
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4040607
    journal fristpage41007
    journal lastpage041007-12
    treeJournal of Computing and Information Science in Engineering:;2018:;volume( 018 ):;issue: 004
    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
    yabeshDSpacePersian