contributor author | Sun, Yun | |
contributor author | Chen, Tao | |
contributor author | Qiong Wu, Christine | |
contributor author | Shafai, Cyrus | |
date accessioned | 2017-05-09T01:26:30Z | |
date available | 2017-05-09T01:26:30Z | |
date issued | 2016 | |
identifier issn | 1555-1415 | |
identifier other | cnd_011_03_031009.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/160505 | |
description 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Comparison of Four Friction Models: Feature Prediction | |
type | Journal Paper | |
journal volume | 11 | |
journal issue | 3 | |
journal title | Journal of Computational and Nonlinear Dynamics | |
identifier doi | 10.1115/1.4031768 | |
journal fristpage | 31009 | |
journal lastpage | 31009 | |
identifier eissn | 1555-1423 | |
tree | Journal of Computational and Nonlinear Dynamics:;2016:;volume( 011 ):;issue: 003 | |
contenttype | Fulltext | |