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contributor authorWang, Tingjian
contributor authorWang, Liqin
contributor authorZheng, Dezhi
contributor authorZhao, Xiaoli
contributor authorGu, Le
date accessioned2017-05-09T01:24:03Z
date available2017-05-09T01:24:03Z
date issued2015
identifier issn0742-4787
identifier othertrib_137_02_021403.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/159793
description abstractIn 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleNumerical Simulation Method of Rough Surfaces Based on Random Switching System
typeJournal Paper
journal volume137
journal issue2
journal titleJournal of Tribology
identifier doi10.1115/1.4029644
journal fristpage21403
journal lastpage21403
identifier eissn1528-8897
treeJournal of Tribology:;2015:;volume( 137 ):;issue: 002
contenttypeFulltext


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