Selection of abrasive wheels by surface topography of parts from hardened steel 30ChGSA

  • Ya. I. Soler Irkutsk National Research Technical University
  • Van Le Nguyen Irkutsk National Research Technical University
Keywords: grinding, roughness, flatness deviation, statistics, median, quartile latitude, fuzzy logic, desirability scale

Abstract

In this research the surface roughness parameters: Ra, Rmax, Sm and – the flatness deviations EFEmax of plane parts made of hardened steel 30ChGSA, are used to estimate the cutting ability (CA) of grinding wheels made from traditional abrasives with different porosities. These parameters need to evaluate not only the position measures, but also the precision. Statistical methods allow predicting them individually, but do not have the ability to provide a comprehensive assessment. For these purposes, the fuzzy logic was attracted as an innovative direction of mechanical engineering. To realize the process of modeling a special bump pack of Fuzzy Logic Toolbox in MATLAB was used. As the results of fuzzy logic modeling in MATLAB, it was established that the wheel
5NQ46I6VS3 (i=5) (di=0.878) had the best comprehensive assessment by CA and the wheel 34AF60K6V5A (i=14) (di= 0.383) - the lowest rate. Therefore, the wheel 5NQ46I6VS3 can be selected as a basic wheel in the robust design of grinding operations. In manufacture, if there is
not a grinding wheel 5NQ46I6VS3, the tools, which also had integral assessment of cutting ability “very high”: 25AF46M10V-PO (i=7) or 5A46L10VAX (i=15) can replace it.

Author Biography

Ya. I. Soler, Irkutsk National Research Technical University
Mechanical Engineering Department

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Published
2018-09-02
Section
Mechanical Engineering (1)