Ali Raneen Abd, Mia Mozammel, Khan Aqib Mashood, Chen Wenliang, Gupta Munish Kumar, Pruncu Catalin Iulian
College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Mechanical and Production Engineering, Ahsanullah University of Science and Technology, Dhaka 1208, Bangladesh.
Materials (Basel). 2019 Mar 27;12(7):1013. doi: 10.3390/ma12071013.
It is hypothesized that the orientation of tool maneuvering in the milling process defines the quality of machining. In that respect, here, the influence of different path strategies of the tool in face milling is investigated, and subsequently, the best strategy is identified following systematic optimization. The surface roughness, material removal rate and cutting time are considered as key responses, whereas the cutting speed, feed rate and depth of cut were considered as inputs (quantitative factors) beside the tool path strategy (qualitative factor) for the material Al 2024 with a torus end mill. The experimental plan, i.e., 27 runs were determined by using the Taguchi design approach. In addition, the analysis of variance is conducted to statistically identify the effects of parameters. The optimal values of process parameters have been evaluated based on Taguchi-grey relational analysis, and the reliability of this analysis has been verified with the confirmation test. It was found that the tool path strategy has a significant influence on the end outcomes of face milling. As such, the surface topography respective to different cutter path strategies and the optimal cutting strategy is discussed in detail.
据推测，铣削过程中刀具操作的方向决定了加工质量。在这方面，本文研究了面铣中刀具不同路径策略的影响，随后通过系统优化确定了最佳策略。表面粗糙度、材料去除率和切削时间被视为关键响应指标，而切削速度、进给速度和切削深度除了刀具路径策略（定性因素）外，还被视为输入（定量因素），针对使用环形立铣刀加工的2024铝合金材料。实验方案，即27次运行，采用田口设计方法确定。此外，进行方差分析以统计识别参数的影响。基于田口-灰色关联分析评估了工艺参数的最优值，并通过验证试验验证了该分析的可靠性。结果发现，刀具路径策略对面铣的最终结果有显著影响。因此，详细讨论了不同刀具路径策略对应的表面形貌以及最优切削策略。
