Multi-Gaussian stratified modeling and characterization of multi-process surfaces

S Hu, W Huang, X Shi, Z Peng, X Liu, Y Wang - Tribology Letters, 2018 - Springer
S Hu, W Huang, X Shi, Z Peng, X Liu, Y Wang
Tribology Letters, 2018Springer
Surface serves as the fingerprint of a component. Most researchers understood surface
topography from a single-stratum viewpoint, some ones have focused on a bi-Gaussian
stratified model that respects formation mechanism, but few studies have considered a multi-
Gaussian stratified possibility. A multi-Gaussian stratified model of surface topography is
developed based on the existing bi-Gaussian stratified surface theory. The bi-Gaussian
characterizing method, on the basis of linear regression, is revised to differentiate the mixed …
Abstract
Surface serves as the fingerprint of a component. Most researchers understood surface topography from a single-stratum viewpoint, some ones have focused on a bi-Gaussian stratified model that respects formation mechanism, but few studies have considered a multi-Gaussian stratified possibility. A multi-Gaussian stratified model of surface topography is developed based on the existing bi-Gaussian stratified surface theory. The bi-Gaussian characterizing method, on the basis of linear regression, is revised to differentiate the mixed multiple Gaussian components. The model and the method are demonstrated on simulated multi-Gaussian stratified surfaces and real engineering surfaces manufactured by turning, rough lapping, and fine lapping. The results reveal the existence of multi-Gaussian stratified feature on multi-process surfaces in industry, and improve the stratified surface theory.
Springer
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