This study is based on Taguchi’s design of experiments along with grey relational analysis (GRA) to optimize the milling parameters to minimize surface roughness, tool wear, and vibration during machining of Inconel-625 while using coconut oil as cutting fluid (CF). The experiments were conducted based on Taguchi’s L₉ orthogonal array (OA). Taguchi’s S/N was used for identifying the optimal cutting parameter for individual response. Analysis of variance (ANOVA) was employed to analyze the outcome of individual parameters on responses. The surface roughness was mostly influenced by feed. Flank wear was influenced by speed and the vibration was mostly influenced by the depth of cut as well as speed. The multi-response optimization was done through GRA. From GRA, the optimal parameters were identified. Further, nanoboric acid of 0.5 and 0.9wt.% was mixed with coconut oil to enhance lubricant properties. Coconut oil with 0.5wt.% of nanoboric acid minimizes the surface roughness and flank wear by 3.92% and 6.28% and reduces the vibration in the z-axis by 4.85%. The coconut oil with 0.5wt.% of nanoboric acid performs better than coconut oil with 0.9wt.% of nano boric acid and base oil.

中文翻译：

---

Inconel 625铣削过程中含有纳米硼酸的椰子油的田口-灰关联分析实验研究

本研究基于田口的实验设计以及灰色关联分析 (GRA) 来优化铣削参数，以最大限度地减少 Inconel-625 加工过程中的表面粗糙度、刀具磨损和振动，同时使用椰子油作为切削液 (CF)。实验基于田口的 L ₉正交阵列（OA）。田口的 S/N 用于确定个体响应的最佳切割参数。方差分析 (ANOVA) 用于分析个体参数对响应的结果。表面粗糙度主要受进给量的影响。后刀面磨损受速度影响，振动主要受切削深度和速度的影响。多响应优化是通过 GRA 完成的。从 GRA 中，确定了最佳参数。此外，0.5和0.9的纳米硼酸wt.% 与椰子油混合以增强润滑性能。椰子油0.5wt.% 的纳米硼酸可将表面粗糙度和后刀面磨损降低 3.92% 和 6.28%，并减少加工中的振动z轴 4.85%。椰子油0.5wt.% 的纳米硼酸的性能优于 0.9 的椰子油wt.%的纳米硼酸和基础油。