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    Comparison of Four Friction Models: Feature Prediction

    Source: Journal of Computational and Nonlinear Dynamics:;2016:;volume( 011 ):;issue: 003::page 31009
    Author:
    Sun, Yun
    ,
    Chen, Tao
    ,
    Qiong Wu, Christine
    ,
    Shafai, Cyrus
    DOI: 10.1115/1.4031768
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, we provide not only key knowledge for friction model selection among candidate models but also experimental friction features compared with numerical predictions reproduced by the candidate models. A motordriven onedimensional sliding block has been designed and fabricated in our lab to carry out a wide range of control tasks for the friction feature demonstrations and the parameter identifications of the candidate models. Besides the wellknown static features such as breakaway force and viscous friction, our setup experimentally demonstrates subtle dynamic features that characterize the physical behavior. The candidate models coupled with correct parameters experimentally obtained from our setup are taken to simulate the features of interest. The first part of this work briefly introduces the candidate friction models, the friction features of interest, and our experimental approach. The second part of this work is dedicated to the comparisons between the experimental features and the numerical model predictions. The discrepancies between the experimental features and the numerical model predictions help researchers to judge the accuracy of the models. The relation between the candidate model structures and their numerical friction feature predictions is investigated and discussed. A table that summarizes how to select the most optimal friction model among a variety of engineering applications is presented at the end of this paper. Such comprehensive comparisons have not been reported in previous literature.
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      Comparison of Four Friction Models: Feature Prediction

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    contributor authorSun, Yun
    contributor authorChen, Tao
    contributor authorQiong Wu, Christine
    contributor authorShafai, Cyrus
    date accessioned2017-05-09T01:26:30Z
    date available2017-05-09T01:26:30Z
    date issued2016
    identifier issn1555-1415
    identifier othercnd_011_03_031009.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/160505
    description abstractIn this paper, we provide not only key knowledge for friction model selection among candidate models but also experimental friction features compared with numerical predictions reproduced by the candidate models. A motordriven onedimensional sliding block has been designed and fabricated in our lab to carry out a wide range of control tasks for the friction feature demonstrations and the parameter identifications of the candidate models. Besides the wellknown static features such as breakaway force and viscous friction, our setup experimentally demonstrates subtle dynamic features that characterize the physical behavior. The candidate models coupled with correct parameters experimentally obtained from our setup are taken to simulate the features of interest. The first part of this work briefly introduces the candidate friction models, the friction features of interest, and our experimental approach. The second part of this work is dedicated to the comparisons between the experimental features and the numerical model predictions. The discrepancies between the experimental features and the numerical model predictions help researchers to judge the accuracy of the models. The relation between the candidate model structures and their numerical friction feature predictions is investigated and discussed. A table that summarizes how to select the most optimal friction model among a variety of engineering applications is presented at the end of this paper. Such comprehensive comparisons have not been reported in previous literature.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleComparison of Four Friction Models: Feature Prediction
    typeJournal Paper
    journal volume11
    journal issue3
    journal titleJournal of Computational and Nonlinear Dynamics
    identifier doi10.1115/1.4031768
    journal fristpage31009
    journal lastpage31009
    identifier eissn1555-1423
    treeJournal of Computational and Nonlinear Dynamics:;2016:;volume( 011 ):;issue: 003
    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