Analysis and Prediction of Wear Performance of Different Topography Surface
Keyword(s):
Surface roughness parameters are an important factor affecting surface wear resistance, but the relevance between the wear resistance and the surface roughness parameters has not been well studied. This paper based on the finite element simulation technology, through the grey incidence analysis (GIA) method to quantitatively study the relevance between the wear amount of per unit sliding distance (ΔVs) and the surface texture roughness parameters under dry friction conditions of the different surface topography. A zeroth order six-variables grey model, GM(0,6), for prediction the wear characteristic parameter ΔVs was established, and the experiment results verified that the prediction model was accurate and reasonable.
2017 ◽
Vol 54
(2)
◽
pp. 64-71
2007 ◽
Vol 46
(7B)
◽
pp. 4508-4513
◽
2016 ◽
Vol 75
(3)
◽
pp. 335-346
◽
2008 ◽
Vol 28
(13)
◽
pp. 1567-1585
◽
2008 ◽
Vol 40
(11-12)
◽
pp. 1137-1147
◽
Keyword(s):
2018 ◽
Vol 1148
◽
pp. 109-114
1993 ◽
Vol 31
(5)
◽
pp. 1094-1099
◽
2003 ◽
Vol 7
(2)
◽
pp. 281-294
◽
Keyword(s):