EXPERIMENTAL RESEARCH ON EFFECT OF TECHNOLOGY PARAMETERS ON VIBRATION DURING MILLING SKD11 STEEL

Abstract

A self-excited vibration is called chatter of components in technology systems. It occurs widely in cutting methods and significantly affects the manufacturing process efficiency and product quality. Vibration is the cause of dimensional accuracy, surface roughness, and tool life. In this paper, the input parameters of the milling process were studied including cutting speed (V), feed rate (f), and cutting depth (t). The Taguchi method was first used for experimental design. Then the ANOVA analysis of variance method was used to estimate the simultaneous influence of the input parameters on the vibration. The optimal set of technological parameters to achieve the smallest vibration is A3B1C1 corresponding to V = 280 m/min, f = 230 mm/min, and t = 0.5 mm. Finally, a mathematical regression function describing the influence of the input technological parameters on vibration amplitude is built and gives high accuracy when compared with experimental data.