Sparking-out optimization while surface grinding aluminum alloy 1933T2 parts using fuzzy logic

International Conference on Mechanical Engineering, Automation and Control Systems 2017

机械制造;无线电电子学;计算机科学

Soler, Ya I.^1 ; Salov, V.M.^1 ; Nguyen, Chi Kien^1

Irkutsk National Research Technical University, Russia^1

关键词: Aluminum parts;    Flatness deviation;    Performance evaluations;    Surface grinding;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/327/4/042122/pdf
DOI  :  10.1088/1757-899X/327/4/042122

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The article presents the results of a search for optimal sparing-out strokes when surface grinding aluminum parts by high-porous wheels Norton of black silicon carbide 37C80K12VP using fuzzy logic. The topography of grinded surface is evaluated according to the following parameters: roughness-Ra, Rmax, Sm; indicators of flatness deviation-EFEmax, EFEa, EFEq; microhardness HV, each of these parameters is represented by two measures of position and dispersion. The simulation results of fuzzy logic in the Matlab medium establish that during the grinding of alloy 1933T2, the best integral performance evaluation of sparking-out was given to two double-strokes (d=0.827) and the worst-to three ones (d=0.405).