.png){kind=icon}
返回
Modelling warped rough surface with given height distribution and height difference autocorrelation function
.png){kind=icon}
PRE
AI
DOI：10.1016/j.triboint.2024.110205.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The height and spatial properties of a rough surface can be described by height distribution and height spectrum, respectively. However, when dealing with experimental surface data without additional processing, reasons such as surface defects and dimples could lead to undesired fluctuations in spectrum. In this study, we measured the height distribution and height difference autocorrelation function (HD-ACF) of rough surface obtained from both simulation and experiments. We confirmed that HD-ACF conveys the same information as height power spectrum. Moreover, starting from a rough surface with height obeying symmetric Gaussian distribution, by using warping transformation with design and adjusting the HD-ACF, we can obtain a numerical rough surface that conforms to the height distribution and HD-ACF of the target isotropic surface.
Keyword:
Rough surface
Numerical simulation
Experiment
Warping transformation
Height difference autocorrelation function
Experiment
Warping transformation
期刊
IF:
6.9
论文数:
1.1W
被引数:
4.2W
机构
引用论文
.png){kind=icon}
分享收藏
查看更多内容