Journal
JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME
Volume 140, Issue 2, Pages -Publisher
ASME
DOI: 10.1115/1.4037793
Keywords
rough surface simulation; non-Gaussian; FFT; translation process theory
Categories
Funding
- National Basic Research Program of China (973) [2015CB057303]
- National Natural Science Foundation of China [51275268]
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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 autocorrelation 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.
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