Optimization of End Milling Parameters Using African Vulture Optimization Algorithm

Optimization of machining parameters is a crucial aspect of manufacturing processes, aimed at improving efficiency and product quality. A significant body of scientific literature has concentrated on utilizing advanced techniques, for the optimization of various machining parameters. This paper introduces the application of the recently published African Vulture Optimization Algorithm (AVOA) to determine the optimal parameters for the ball-end milling process, including cutting speed, feed, radial depth of cut, and axial depth of cut. The objectives are the minimization of cutting forces and the maximization of the material removal rate. Based on the experimental data from existing literature, this study performs the optimization of machining parameters. Afterperforming comparative analysis, the results are discussed and graphicalypresented. AVOA demonstrates high efficiency in addressing this optimization challenge.