This paper mainly focuses on determination of optimum minimum quantity lubrication (MQL) parameter settings due to enhance the machinability of Ti–6Al–4V alloy, which is an area of huge concern for industrial production and academic research around the globe. MQL is an eco-friendly cooling method, which can be employed during machining Ti–6Al–4V alloys. In this work, a highly efficient MQL system has been developed by appropriate selection of various parameters like nozzle diameter, angle of impingement, oil flow rate, air pressure, etc., for enhancing the turning machinability of Ti–6Al–4V alloys. Cutting temperature, cutting force, and surface roughness have been considered as machinability criteria, where minimization of these responses was desirable. An experimental investigation has been designed by Box–Behnken design of experiments and carried out for turning Ti–6Al–4V alloy by carbide insert under double-jet MQL. Empirical models were developed for the process responses by response surface methodology. By employing ANOVA statistics, all the predictive models were found significant and highly acceptable with more than 90% of R². MAPE for the temperature, force, and roughness were found to be 3.93%, 1.27%, and 5.78%, respectively, when model responses were compared with experimental responses. As a final point, the desirability function approach has been used to find out the suitable combination of coolant application parameters which were nozzle diameter of 0.5 mm, primary nozzle angle of 20°, primary nozzle angle of 15°, air pressure of 20 bar, and oil flow rate of 50 ml/h with composite desirability value of 0.8301.

由于增强了Ti-6Al-4V合金的可切削性，本文主要关注确定最佳最小润滑量（MQL）参数设置，这是全球工业生产和学术研究都高度关注的领域。MQL是一种环保的冷却方法，可用于加工Ti-6Al-4V合金。在这项工作中，一个高效的系统MQL已经通过各种参数，如喷嘴直径，冲击的角度，油流率，空气压力等适当选择显影，用于增强的Ti-6AL-4V合金的转动切削性。切削温度，切削力和表面粗糙度已被视为可机加工性标准，在这些条件下，希望将这些响应降至最低。通过Box–Behnken设计的实验设计了一项实验研究，并进行了通过双喷嘴MQL的硬质合金刀片车削Ti-6Al-4V合金的研究。通过响应面方法为过程响应开发了经验模型。通过使用ANOVA统计数据，发现所有预测模型均具有显着性和高度可接受性，其中90％以上R ²。当将模型响应与实验响应进行比较时，发现MAPE的温度，力和粗糙度分别为3.93％，1.27％和5.78％。最后，期望函数方法已被用于找出冷却液应用参数的合适组合，这些参数包括喷嘴直径0.5 mm，主喷嘴角度20°，主喷嘴角度15°，气压20 bar，油流量为50 ml / h，综合期望值为0.8301。