Optimization of Machining Parameters for Product Quality and Productivity in CNC Machining of Aluminium Alloy.

This study focused on optimizing the process of CNC machining to enhance productivity and product quality of surface finish R_a via the process parameters of the cutting speed (v_c), feed rate (v_f), and cutting depth (doc). Experimentation was performed on workpieces of AA-6061 to investigate the response R_a through variation of the process parameters to analyze their best fit using RSM with 2³ full factorial designs L-8 of DOE. The analysis of variance (ANOVA) was then used to find the major contributors among them that were responsible for the Ra. Based on the result, better R_a was obtained at 0.103 µm using the best fit of vf (150 mm/min), vc (220 m/min), and d_oc (0.1 mm). ANOVA shows vf contributed better R_a followed by v_c and d_oc respectively. In addition, the level of R_a's was analyzed through contour plots represented by different colours. It continued to analyze the effect of the process parameters via the main effects plot, Pareto chart, and the contour plot in the predictive desirability model, which indicated that the plots and chart confirmed the vf had more influence compared to others. The study confirmed that the low-level parameters provided better R_a to be used for polishing. [ABSTRACT FROM AUTHOR]