Otimização do fresamento de topo esférico de planos inclinados aplicando o método de algoritmos genéticos

Abstract

This dissertation presents an application of genetic algorithms in the optimization of cutting parameters on a ball end milling operation of inclined planes, considering four machining strategies and two different materials of the workpieces (ABNT P20 and ABNT H13). The objective of the optimization was to minimize the machining time, and the main technical restriction was the roughness of the machined surfaces. The proposed application presented satisfactory results in the optimization of cutting parameters, but significant differences occurred between the roughness results obtained with the mathematical model and in the experimental validation. An analysis of the machined surfaces has shown that the formation of the surfaces did not occur on a regular and homogeneous way, and no clear trends with respect to different strategies and materials were observed. The significant influence of dynamic instabilities during machining was also observed, whose effects are not considered in the mathematical model applied to the optimization problem, which explains the differences observed between the results of computational and experimental roughness.