Process Parametric Optimization of CNC Vertical Milling Machine Using ANOVA Method in EN24

Abstract

Abstract: Materials are manufactured from casting, forging and extrusion processes have higher typical dimension tolerances due to its producing ability. So, machining processes were introduced for close tolerance assembly and improve the product working efficiencies. In response, now a day’s lots of machining processes are available such as turning, milling, drilling and grinding to overcome these problems. Milling operation is playing vital role on making the components with high accuracy and higher productivity. Subsequently, face milling operation is utilized for planning the surface of work material with improved surface texture. It is one of the important milling processes to achieve high flatness and low roughness. The work enlights the parameters influence on Surface Roughness (SR). As seen in this study, the Taguchi method provides a systematic and efficient methodology for the minimum surface roughness with far less effect that would be required for most optimization techniques. Based on the S/N ratio, the optimal parameters for the minimum surface roughness are the feed rate at level 1 (80 mm/min), the cutting speed at level 3 (1000 rpm), face mill diameter at level 3 (12 mm-E24) and the depth of cut at level 2 (2 mm). The tool diameter influences the surface roughness next to the feed rate. Keywords: EN24, MRR Face milling, Ra, DOE, Taguchi design