Optimization of cutting parameter performance under MQL Nanolubricant approach during CNC Turning using Taguchi Method

Abstract

Turning is one of the most important machining processes used in various industrial applications. Usually the quality of finished part in turning operation is measured in terms of surface finish. In turn, surface quality and tool wear is determined by machining parameters that is cutting speed, feed rate, and depth of cut. The objective of this study is to investigate the effect of cutting parameters on surface finish and tool wear under MQL nanolubricant during turning operation of Inconel 718. Machining parameters are considered as input parameters. In turn, the surface finish, and tool wear is selected as process output measure of performance. A Taguchi approach is employed to gather the experimental data. Then, based on signal-to-noise (S/N) ratio, the best sets of cutting parameters have been determined. Using these parameters values, the surface finish of Inconel 718 may be minimized. Experimental results are provided to illustrate the effectiveness of the proposed approach.