首页|New methodology for discrimination of topography diversity of engineering surfaces – Case of grinding
New methodology for discrimination of topography diversity of engineering surfaces – Case of grinding
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NSTL
Elsevier
? 2022 Elsevier LtdThe paper presents the methodology of assessing the degree of differentiation of machined technical surfaces based on the empirical probability distribution of the roughness parameters. The methodology allowed to determine the differentiation level of the analysed surfaces morphology based on the influence of the machining process features on the variability of roughness parameters. The minimum sample size necessary to obtain a statistically significant differentiation level in roughness parameters of the compared surfaces was also determined. The conducted analyses made it possible to determine the information content (indicating the ability to differentiate the features of the analysed surfaces) of the roughness parameters. The robustness of the methodology has been demonstrated. The described methodology was used to evaluate the information content on the example of the grinding process of 100Cr6 bearing steel and Ti-6Al-4V titanium alloy.
NSTL
Elsevier
