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research-article

A simulation method for non-Gaussian rough surfaces using FFT and translation process theory

[+] Author and Article Information
Yuechang Wang

State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China
skywalker_yc@163.com

Ying Liu

State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China
liuying@mail.tsinghua.edu.cn

Gaolong Zhang

State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China
gl-zh14@mails.tsinghua.edu.cn

Yuming Wang

State Key Laboratory of Tribology, Tsinghua University, Beijing 100084, China
yumingwang@mail.tsinghua.edu.cn

1Corresponding author.

ASME doi:10.1115/1.4037793 History: Received January 18, 2017; Revised August 05, 2017

Abstract

The simulated rough surface with desired parameters is widely used as an input for the numerical simulation of tribological behavior such as the asperity contact, lubrication, and wear. In this study, a simulation method for generating non-Gaussian rough surfaces with desired auto-correlation function (ACF) and spatial statistical parameters, including skewness (Ssk) and kurtosis (Sku), was developed by combining the fast Fourier transform (FFT), translation process theory, and Johnson translator system. The proposed method was verified by several numerical examples and proved to be faster and more accurate than the previous methods used for the simulation of non-Gaussian rough surfaces. It is convenient to simulate the non-Gaussian rough surfaces with various types of ACFs and large autocorrelation lengths. The significance of this study is to provide an efficient and accurate method of non-Gaussian rough surfaces generation to numerically simulate the tribological behavior with desired rough surface parameters.

Copyright (c) 2017 by ASME
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