Truncated separation method for characterizing and reconstructing bi-Gaussian stratified surfaces
- 269 Downloads
Existing ISO segmented and continuous separation methods for differentiating the two components contained within a bi-Gaussian stratified surface were developed based on the fit of the probability material ratio curve. In the present study, because of the significant effect of the plateau component on tribological behavior such as asperity contact, wear and friction, a truncated separation method is proposed based on the truncation of the upper Gaussian component defined by zero skewness. The three separation methods are applied to real worn surfaces. Surface-separation and surface-reconstruction results show that the truncated method accurately captures the upper component identically to the ISO and continuous ones. The identification of the lower component characteristics requires performing a curve fit procedure on the data left after truncation. However, the truncated method fails in identifying the upper component when the material ratio of the transition is less than 9%.
Keywordssurface simulation worn surface stratified surface mechanical face seal
This work was supported by the National Key Basic Research (973) Program of China (No. 2012CB026003), the National Science and Technology Major Project (No. ZX06901), and the National Science and Technology Support Plan Projects (No. 2015BAA08B02).
- Hu S, Brunetiere N, Huang W, Liu X, Wang Y. Stratified revised asperity contact model for worn surfaces. J Tribol in press, DOI 10.1115/1.4034531 (2016)Google Scholar
- Abbot E J, Firestone F A. Specifying surface quality. Mech Eng 55: 569–578 (1933)Google Scholar
- Surface texture: Profile method; surfaces having stratified functional properties—Part 2: Height characterization using the linear material ratio curve. ISO 13565-2, 1996.Google Scholar
- Surface texture: Profile method; surfaces having stratified functional properties—Part 3: Height characterization using the material probability curve. ISO 13565-3, 1998.Google Scholar
- Williamson J P B. Microtopography of surfaces. Proc Inst Mech Eng 182: 21–30 (1985)Google Scholar
- Staufert G. Characterization of random roughness profiles —A comparison of AR-modeling technique and profile description by means of commonly used parameters. Annals of the CIRP 28: 431–435 (1979)Google Scholar
- De Vries W R. Autoregressive time series models for surface profile characterization. Annals of the CIRP 28: 437–440 (1979)Google Scholar
- Tomescu A. Simulation of surface roughness for tribological applications. Master thesis. Universite de Poitiers, Poitiers, France, 2012.Google Scholar