The Selection of High-Porous Boron Nitride Wheels Based on Topography of W9Mo4Co8 Plates for Pendulum Grinding Using Fuzzy Logic

The grinding process is characterized by instability created by abrasive tools. In view of this, the output parameters of the process that characterizes surface topography of high-speed steel plates W9Mo4Ko8 are estimated using statistical methods.  The existing deviations from normality of distributions resulted in the emphasis of the study being placed on rank statistics where medians and quartile latitudes reflected measures of position and dispersion, respectively. The cutting ability of 11 types of wheels with regard to roughness, deviation from flatness, and micro hardness is assessed through fuzzy logic modeling in the MATLAB environment with the application of Fuzzy Logic Toolbox extension package.   This AI system has shown that based on the complex assessment of surface topography, grinding should be done by high-porous cubic boron nitride wheels such as LKV50 B126 100 O V К27-КF40 and CBN30 B126 100 L V K27-КF40, which are included into one cutting ability group  and rated as «very good».

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