Abstrakt

Optimization of Surface Topography for Hard Material Machining With CNC End Milling

Anmol Kumar, M.K. Paswan

In the present research, an attempt has been made to experimentally investigate the effects of cutting parameters on surface roughness in hard milling of AISI H13 steel with coated carbide tools. Based on face centered cubic method, three-factor (spindle speed, feed rate and depth of cut) and three-level experiments were employed using Commercial statistical software. The surface roughness of machined surface was measured using Surface roughness profilometer (MARSURF PS 1) and then using RSM and analysis of variance (ANOVA) are performed. It is found that the spindle speed and the feed are the two dominant factors affecting the surface roughness. The optimal cutting parameters for minimal surface roughness in the range of this experiment under these experimental conditions are searched. Empirical models for surface roughness are established, a quadratic model best describes the variation of surface roughness.