Lee Young-Hun, Lee Choon-Man
School of Mechanical Engineering, Changwon National University, 20, Changwondaehak-ro, Uichang-gu, Changwon 51140, Korea.
Materials (Basel). 2019 Aug 14;12(16):2590. doi: 10.3390/ma12162590.
This research objective was to determine the significant parameters for effective plasma assisted machining (PAM) of Ti-6Al-4V and to derive optimal processing conditions. PAM parameters such as feed rate, spindle speed, and depth of cut have significant effects on its machining characteristic. In this study, the design of experiments (DOE) was used to select optimal machining conditions for PAM. The signal-to-noise (S/N) ratio was analyzed using the Taguchi method and the contributions of the factors were determined using analysis of variance (ANOVA). Finally, the optimal PAM machining conditions were selected using response optimization. In addition, the energy efficiency of conventional machining (CM) and the PAM were compared. The energy efficiency was analyzed by specific cutting energy. The cutting force and surface roughness of PAM decreased by 60.2% and 70.5%, respectively, in optimal PAM machining conditions.
本研究的目的是确定钛合金Ti-6Al-4V有效等离子体辅助加工（PAM）的重要参数，并推导最佳加工条件。诸如进给速度、主轴转速和切削深度等PAM参数对其加工特性有显著影响。在本研究中，采用实验设计（DOE）来选择PAM的最佳加工条件。使用田口方法分析信噪比（S/N），并使用方差分析（ANOVA）确定各因素的贡献。最后，通过响应优化选择最佳的PAM加工条件。此外，还比较了传统加工（CM）和PAM的能源效率。通过比切削能分析能源效率。在最佳PAM加工条件下，PAM的切削力和表面粗糙度分别降低了60.2%和70.5%。
