Robotic milling technology has been gradually applied to the repair of water turbines due to its advantages of high flexibility and low cost. However, the weak rigidity of the serial robot makes the milling process more prone to vibration and chatter. This paper investigates the effects of tool overhang length, spindle inclination angle, and feed rate on the limit cutting depth ( d lim ) and material removal rate (MRR) of robotic milling based on response surface methodology (RSM). Analysis of variance (ANOVA), the three‐dimensional response surface, and the corresponding contour plot are employed to evaluate the impact of factors on d lim and MRR. Two regression models of d lim and MRR are developed based on RSM and then used to optimize the process parameters. The experimental results demonstrate that the combination of parameters optimized by RSM induces a higher chatter‐free MRR and processing efficiency in robotic milling.
Geng et al. (Thu,) studied this question.