Numerical Simulation Method of Rough Surfaces Based on Random Switching System
contributor author | Wang, Tingjian | |
contributor author | Wang, Liqin | |
contributor author | Zheng, Dezhi | |
contributor author | Zhao, Xiaoli | |
contributor author | Gu, Le | |
date accessioned | 2017-05-09T01:24:03Z | |
date available | 2017-05-09T01:24:03Z | |
date issued | 2015 | |
identifier issn | 0742-4787 | |
identifier other | trib_137_02_021403.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/159793 | |
description abstract | In this paper, a numerical simulation method for generating rough surfaces with desired autocorrelation function (ACF) and statistical parameters, including root mean square (rms), skewness (Ssk), and kurtosis (Ku), is developed by combining the polar method, Johnson translation system, and random switching system. This method can be used to generate Gaussian, nonGaussian, isotropic, and nonisotropic rough surfaces. The simulation results show the excellent performance of present method for producing surface with various desired statistical parameters and ACF. The advantage of present method is that the deviation of statistical parameters and ACF from the desired ones can be as small as required since it is controlled by iterative algorithms. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Numerical Simulation Method of Rough Surfaces Based on Random Switching System | |
type | Journal Paper | |
journal volume | 137 | |
journal issue | 2 | |
journal title | Journal of Tribology | |
identifier doi | 10.1115/1.4029644 | |
journal fristpage | 21403 | |
journal lastpage | 21403 | |
identifier eissn | 1528-8897 | |
tree | Journal of Tribology:;2015:;volume( 137 ):;issue: 002 | |
contenttype | Fulltext |