Multiscale morphology of high-precision turning process surfaces

Abstract

The characterization of functional surfaces is done mainly by roughness which can be quantified by many parameters. In order to select relevant roughness parameters, a multiscale discriminant method is proposed and applied to characterize high-precision turned surfaces. First, surfaces are characterized by a single roughness parameter and secondly by a pair of roughness parameters. In all cases, the most relevant evaluation length is also determined for each parameter. The results obtained on four different samples show that the most relevant roughness parameter is Rk estimated on a 10μm evaluation length. The best pair of parameters is Δa and Ri, estimated respectively on 20μm and 100μm evaluation lengths. Rk well characterizes the microroughness, which seems to be mainly representative of the roughness of high-precision machined surfaces. However, only multiscale analyses with a pair of roughness parameters can characterize both the macroscopic and microscopic morphologies of machined surfaces.

Dynamic evolution of interface roughness during friction and wear processes

“…Therefore, multiscale analysis approach should be used to evaluate interface morphology. Along with statistical parameters, used to evaluate roughness height and spatial characteristic, many researchers started to use multiscale decomposition method (Bouchbinder et al ., ; Bigerelle et al ., ). Fourier transform, wavelet transformation and fractal methods are more often used (Brown and Siegmann, ; Ungar et al ., ; Kang et al ., ; Scott et al ., ).…”

How to Select 2D and 3D Roughness Parameters at Their Relevant Scales by the Analysis of Covariance

“…The 3D surface topography has brought a finer characterization in tribology by introducing new parameters [31][32][33][34] and has shown the importance of roughness in contact mechanics [35][36][37]. New concepts based on segmentation [38] have shown the role of texture on tribological behavior [39,40].…”

A study of filtering techniques for areal surface topography assessment

“…Utilizing these properties of the wavelet transform, it is possible to effectively apply multi-channel filter banks to the surface data. Wavelet transform application for 3D surface can be found in two other studies [30,31] and in another study a multi-scale discriminant method was proposed and applied to characterize high-precision turned surfaces [32].…”