This paper deals with the optimization of external roller burnishing operation using a CNC lathe for a Mg-SiC metal matrix. Magnesium metal was alloyed with 10% (w/w) of SiC particles as a reinforcement. The Stir casting process was used to cast the bars. CNC turning was then performed on these bars to prepare them for the roller burnishing process. The process parameters considered during burnishing are speed, feed rate, force and number of tool passes. Surface roughness, microhardness and out of roundness were the outputs of each experiment. The Taguchi methodology was used to design an experiment. This design yielded an L16 (4⁴) Matrix. Response Surface Methodology was then used for procuring the optimized set of process parameters. Surface plots were studied to understand the impact of all the potential combinations of the process parameters. Regression equations were formulated between the input and output parameters. The optimum surface roughness of 0.1506 μm, surface hardness of 57.9996 HV and out of roundness of 0.0151 mm were obtained from the following burnishing parameters: speed of171 rpm, feed rate of 0.18 mm/rev, force of 21 N and 3 passes. The optimized parameters were found with the desirability factor of 0.9991.

本文讨论了使用数控车床对 Mg-SiC 金属基体进行外辊抛光操作的优化。镁金属与 10% (w/w) 的 SiC 颗粒形成合金作为增强剂。搅拌铸造工艺用于铸造棒材。然后对这些棒材进行数控车削，为滚光工艺做好准备。抛光过程中考虑的工艺参数是速度、进给率、力和刀具走刀次数。表面粗糙度、显微硬度和不圆度是每个实验的输出。田口方法被用来设计一个实验。这种设计产生了一个 L16 (4 ⁴） 矩阵。然后使用响应面方法来获得一组优化的工艺参数。研究表面图以了解过程参数的所有潜在组合的影响。在输入和输出参数之间制定了回归方程。最佳表面粗糙度为 0.1506 μm，表面硬度为 57.9996 HV，不圆度为 0.0151 mm，从以下抛光参数获得：速度为 171 rpm，进给速率为 0.18 mm/rev，力为 21 N 和 3 道次。发现优化参数的合意因子为 0.9991。