英文摘要 |
This study is focused on applying the Taguchi method to the optimization design of cutting parameters for resharpening end-mills using a two-axis tool grinder with a self-developed PC-based controller. The performance index used for optimization is surface roughness. Considering wheel spindle speed, feed rate, and grinding depth of cut as the grinding parameters, a series of grinding experiments were performed to measure the surface roughness data. An orthogonal array, signal-tonoise ratio (S/N), and analysis of variance (ANOVA) were used to find the optimal levels and the effect of the grinding parameters on surface roughness. Confirmation tests with the calculated optimal levels of grinding parameters were carried out in order to investigate the effectiveness of the Taguchi method. The results show that the Taguchi method is suitable for solving surface quality problems of tool resharpening. |