Optimizing the Minimum Quantity Lubrication Parameters Using Nano AL2O3 Particles in Hard Milling of SKD11 Alloy Steel

The successful implementation of Minimum Quantity Lubrication (MQL) using nano-sized particles in metal cutting processes, as an alternative to traditional coolant-based lubrication methods, has been observed. The careful selection of lubrication process parameters plays a pivotal role in enhancing machining quality. In this research, the impact of MQL parameters employing nano particles-comprising nano particle concentration, compressed air pressure, and cool lubricant flow rate on surface roughness has been thoroughly investigated. The nano particles introduced into the cutting fluid consist of Al2O3 nano particles. Experimental process design and data analysis were conducted using the Taguchi optimization method. Signal-to-noise ratio (S/N) and analysis of variance (ANOVA) were utilized to pinpoint the optimal MQL conditions for achieving the most favorable surface roughness. The results further underscore the significant influence of nano particle concentration on the surface roughness of the machining process.