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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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