2022
DOI: 10.1016/j.triboint.2022.107578
|View full text |Cite
|
Sign up to set email alerts
|

The impact of non-Gaussian height distributions on the statistics of isotropic random rough surfaces

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 14 publications
(6 citation statements)
references
References 48 publications
0
5
0
Order By: Relevance
“…When assessing the overall roughness level, surface height distribution symmetry is a crucial aspect related to surface characteristics. As a result, it has the potential to measure the consistency of surface texture [ 16 , 23 25 ]. Probability density and distribution curves are determined upon the nature of the processing method [ 15 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…When assessing the overall roughness level, surface height distribution symmetry is a crucial aspect related to surface characteristics. As a result, it has the potential to measure the consistency of surface texture [ 16 , 23 25 ]. Probability density and distribution curves are determined upon the nature of the processing method [ 15 ].…”
Section: Discussionmentioning
confidence: 99%
“…The Gaussian distribution has become a fundamental tool for classifying surface properties [ 15 ]. Surface parameters, such as skewness and kurtosis of the height distribution, are frequently used to characterize Gaussian topographies [ 16 , 17 ]. Various authors have described the potential occurrence of identical Ra value for surfaces with different shapes and frequencies [ 15 , 17 ].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, it is important to note that, in contrast withnormal, Rayleigh and gamma distributions, the Weibull distribution can generate surfaces with both negative and positive skewness by simply varying the shape parameter. It is also important to note that the variation of kurtosis is not monotonic, allowing for more complex combinations to be achieved [63,64]. However, it is still not possible to alter the skewness and kurtosis independently.…”
Section: Evaluation Of Rsk and Rku Prediction Based On Different Prob...mentioning
confidence: 99%
“…Sabino analyzed the effect of non-Gaussianity on the statistical geometry of an isotropic self-affine rough surface [51] by comparing the summits height distribution, expected mean curvature and summits density of the rough surface under Weibull probability distribution with Nayak's Gaussian case theory. Regrettably, only the influencing factors and the corresponding trends are reported, and no quantitative analytical expressions are presented for the calculation of asperity-based statistical model [50] .…”
Section: Recent Research Progressmentioning
confidence: 99%