Asperity radius of curvature and asperity density, which are generally obtained from rough surface simulation with fast Fourier transform (FFT), are the two essential parameters for statistical contact model. In simulation, however, the value of a parameter (defined as “autocorrelation function (ACF) truncation length” in this paper), which is arbitrarily chosen and has been paid little attention to in most relevant literature, is found to have a great effect on topography parameters, regardless of the methods chosen to calculate them. Improper determination of the ACF truncation length may induce erroneous results. This paper points out how to make the proper determination of the ACF truncation length to guarantee a certain degree of precision and explains why improper determination of the ACF truncation length may cause serious errors when calculating the topography parameters. Besides, the asperity radius of curvature and the asperity density of the generated rough surfaces are calculated using the eight-summit identification method, and their formulae in terms of correlation length are obtained through numerical fitting.
Skip Nav Destination
Article navigation
July 2015
Research-Article
Research on the Obtainment of Topography Parameters by Rough Surface Simulation With Fast Fourier Transform
Yan Fei He,
Yan Fei He
1
School of Mechanical and Electrical Engineering,
e-mail: 627461220@qq.com
Central South University
,Changsha, Hunan 410083
, China
e-mail: 627461220@qq.com
1Corresponding author.
Search for other works by this author on:
Jin Yuan Tang,
Jin Yuan Tang
School of Mechanical and Electrical Engineering,
e-mail: jytangcsu@163.com
Central South University
,Changsha, Hunan 410083
, China
e-mail: jytangcsu@163.com
Search for other works by this author on:
Wei Zhou,
Wei Zhou
School of Mechanical and Electrical Engineering,
e-mail: cnihelat@163.com
Central South University
,Changsha, Hunan 410083
, China
e-mail: cnihelat@163.com
Search for other works by this author on:
Dong Ri Liao
Dong Ri Liao
School of Mechanical and Electrical Engineering,
e-mail: xdn666@126.com
Central South University
,Changsha, Hunan 410083
, China
e-mail: xdn666@126.com
Search for other works by this author on:
Yan Fei He
School of Mechanical and Electrical Engineering,
e-mail: 627461220@qq.com
Central South University
,Changsha, Hunan 410083
, China
e-mail: 627461220@qq.com
Jin Yuan Tang
School of Mechanical and Electrical Engineering,
e-mail: jytangcsu@163.com
Central South University
,Changsha, Hunan 410083
, China
e-mail: jytangcsu@163.com
Wei Zhou
School of Mechanical and Electrical Engineering,
e-mail: cnihelat@163.com
Central South University
,Changsha, Hunan 410083
, China
e-mail: cnihelat@163.com
Dong Ri Liao
School of Mechanical and Electrical Engineering,
e-mail: xdn666@126.com
Central South University
,Changsha, Hunan 410083
, China
e-mail: xdn666@126.com
1Corresponding author.
Contributed by the Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received July 29, 2014; final manuscript received February 14, 2015; published online April 6, 2015. Assoc. Editor: Robert L. Jackson.
J. Tribol. Jul 2015, 137(3): 031401 (7 pages)
Published Online: July 1, 2015
Article history
Received:
July 29, 2014
Revision Received:
February 14, 2015
Online:
April 6, 2015
Citation
Fei He, Y., Yuan Tang, J., Zhou, W., and Ri Liao, D. (July 1, 2015). "Research on the Obtainment of Topography Parameters by Rough Surface Simulation With Fast Fourier Transform." ASME. J. Tribol. July 2015; 137(3): 031401. https://doi.org/10.1115/1.4029843
Download citation file:
Get Email Alerts
Related Articles
A Simulation Method for Non-Gaussian Rough Surfaces Using Fast Fourier Transform and Translation Process Theory
J. Tribol (March,2018)
Numerical Simulation Method of Rough Surfaces Based on Random Switching System
J. Tribol (April,2015)
Related Proceedings Papers
Related Chapters
Digital Human in Engineering and Bioengineering Applications
Advances in Computers and Information in Engineering Research, Volume 1
Other Components and Variations
Axial-Flow Compressors
Modeling of SAMG Operator Actions in Level 2 PSA (PSAM-0164)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)