Genetic Algorithm (GA) is used to optimize the milling parameters. There are two objectives: to minimize the machining time in pocket milling process using the method of GA and to investigate the effect of parameters of the GA method on the machining time of pocket milling process. The fitness function is the machining time (Tm) of the pocket milling process. The independent variables are depth of cut (c) and feed rate (f). The boundaries of the independent variables are from 0.25 to 4 mm and 150 to 600 mm/min, respectively. GA Toolbox in Matlab software run the fitness function and the results show that the values of machining time, depth of cut and feed rate are 0.5467 min, 4 mm and 600 mm/min, correspondingly. The process then repeated using other techniques of selection method and fitness scaling method. All results show only minor difference of machining time, depth of cut and feed rate. The difference between all the techniques is only the number of iterations. From the fitness function, the total toolpath length obtained is 6460 mm. A simulation was run using Mastercam software using the results of depth of cut and feed rate obtained from GA Toolbox. The result shows the toolpath length is 6450.743 mm with percentage error of 1.69%. Therefore, the results of depth of cut and feed rate obtained from GA Toolbox are considerably accepted.
Volume 12 | 07-Special Issue
Pages: 1179-1186
DOI: 10.5373/JARDCS/V12SP7/20202218