Searching for abrasive wheels characteristics to improve grinding quality of parts from alloy 1933T2

摘要

Selection of optimization results of abrasive wheels characteristics of the surface quality with fuzzy logic Involvement are carried out in flat grinding conditions of high-strength aluminum alloy 1933T2 parts. The quality of grinded surfaces was evaluated using three groups of parameters: roughness, indicators of flatness deviations, mlcrohardness; each of them is represented by measures of position and dispersion: the median and quartile latitudes. Statistical methods do not have complex analysis capability of a large number of process output parameters. According to the results of fuzzy logic modeling in MATLAB environment, it was found that the best cutting abilities of abrasive wheels as a whole complex of the studied parameters during grinding of parts of high-strength aluminum alloy 1933T2 were predicted for high porous wheels of silicon carbide green 08C046I12V01P02 and 39C46I12VP with the 《good》 rating, and the worst-for sinter-corundum 5SG46K12VXP.