Inconel 718 Turning Process Parameters Optimization with MQL Nanofluid Based on CuO Nanoparticles

This study examined the effects of a minimum quantity lubrication (MQL) and Cupric oxide- (CuO-) based nanofluid on Inconel 718 machinability. Additionally, by using an MQL CuO-based during turning process, 718’s tribological characteristics are optimised. The experimentation was done method. With aid magnetic stirring ultrasonic bath CuO nanoparticles were dispersed in distilled water, sunflower oil, soyabean oil to create nanofluid. Soyabean contains uniformly distributed nanoparticles. All experimental trials designed L18 Taguchi-based orthogonal arrays performed CNC under environment. There four input parameters that selected at mixed level, namely, cutting speed, feed rate, weight % nanofluid, flow rate analyze surface roughness tool wear. In addition that, response method used identify optimum condition for better Surface wear measured tester toolmaker’s microscope, respectively. Experimental results observed speed highly affect whereas predicted optimal values lower 160 ml/hr 92.99 m/min 3 CuO, 0.1 mm/min low 80 rate.