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Characterization And Lubrication Analysis Of Three-dimensional Surface Topography

Posted on:2007-10-25Degree:MasterType:Thesis
Country:ChinaCandidate:X Y FangFull Text:PDF
GTID:2121360182486443Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
Three-dimensional (3D) surface topography contains a lot of important surface information, it has great influences on friction, wear, lubrication etc. The following properties can be drawn from the researches on 3D surface topography in the past years: there are more researches on amplitude than spatial, and it is still a question that the surface parameters could not reflect surface functions. So characterization of 3D surface topography still need complemented. Analysis and researches are required on the connection between surface parameters and functional properties, influences of 3D surface topography on lubrication etc.Based on edge detection, the texture direction is characterized;the edge image can be obtained by edge detection from measured grey image. Taking the surface topography of cylinder liner as example, the surface topography is separated to three parts using mathematical morphology method, they are form deviation, rough manufactured texture, precise manufactured texture, every part's function is studied, and some parameters are calculated based on the reference datum. At the same time, the texture direction angle and the root-mean-squat deviation (a) are used to characterize the properties of spatial and amplitude of 3D surface topography separately, the relation between surface topography and functional properties is studied by using the average flow model, the relation among the flow factors, texture direction and the ratio h/σ is studied, the influences of the texture direction angle and the root-mean-squat deviation to functional properties are discussed, the relation between surface topography and surface function is established.
Keywords/Search Tags:three-dimensional surface topography, texture direction angle, edge detection, mathematical morphology, average flow model
PDF Full Text Request
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