This study aims to investigate the effects of dry, minimum quantity lubrication (MQL), and nanofluid cutting conditions on surface roughness (Ra) and material removal rate (MRR) for Al6082-T6. Three controllable factors, namely, feed rate (Fr), spindle speed (Vs), and depth of cut (Dc) are studied at three levels using Taguchi method. Single-response optimization is conducted using S/N ratio and contour plots. Empirical models of Ra and MRR for all cutting conditions are developed, and analysis of variance (ANOVA) is used to measure the adequacy of these models. Experimental results reveal that 26~30% improvement in Ra could be observed when experimental setup shifted from dry to MQL, and 13~16% improvement is recorded when further shifted to nanofluid cutting condition. No remarkable effect of cutting conditions (dry, MQL, and nanofluid) is observed on MRR. Additionally, Vs is observed insignificant for MRR in all cutting conditions. The appropriate cutting conditions and optimum values of input variables are proposed to the practitioners for industrial machining and production when contemplating face milling processes.

这项研究旨在研究干法，最小量润滑（MQL）和纳米流体切削条件对Al6082-T6表面粗糙度（Ra）和材料去除率（MRR）的影响。使用Taguchi方法在三个级别上研究了三个可控因素，即进给速度（Fr），主轴转速（Vs）和切削深度（Dc）。使用信噪比和等高线图进行单响应优化。开发了在所有切削条件下的Ra和MRR经验模型，并使用方差分析（ANOVA）来衡量这些模型的适当性。实验结果表明，当实验设置从干燥转变为MQL时，可以观察到Ra的提高26〜30％，而当进一步转变为纳米流体切割条件时，则可以观察到13〜16％的提高。切削条件（干燥，MQL，和纳米流体）在MRR上观察到。此外，在所有切削条件下，观察到的Vs对于MRR都是微不足道的。在考虑面铣削工艺时，向从业人员提出了合适的切削条件和输入变量的最佳值，用于工业加工和生产。