Minimum quality lubrication has shown a noticeable changes with machining outcomes. MQL is one of updated technologies that have been prevailing in contributions towards production and environment enhancement. Present papers deals with the turning of EN 45 steel material which is commonly known to be spring material. En 45 one of the magnetic steel material with low manganese and high amount of carbons is turned under dry and MQL condition. DOE has been prepared with L9 taguchi. Machining factors of speed (75, 100, 125 m/min), feed (0.1, 0.2, 0.3 mm/rev) and depth of cut (0.3, 0.6, 0.9 mm). The surface roughness were optimized by considering the machining parameters of speed, feed, and depth of cut. For both the condition dry and MQL it was observed that speed at 125m/min, feed at 0.1 and depth of cut at 0.3mm was found optimum condition. The regression equation and mathematical model was generated using the experimental data. Furthermore the ANOVA analysis was performed and observed that in case of dry turning speed found to be most influencing parameter and in case of MQL turning Feed was found to be most influencing parameter.

EN 18 is one of the versatile metal that exists its presences in all the industrial, transportation and building equipment’s. Machining of these material is done on large scale and consumes a whole lot of lubrication unit. Present paper discuss regarding the usage and substitutional to flood coolant systems by minimum quality lubrication ((MQL) systems for economical friendly green machining operation. Using three-factor parameters speed (50, 75, 100 m/min), feed (0.05, 0.1, 0.15 mm/rev) and depth of cut (0.4, 0.8, 1.2 mm) are varied and turned on the EN 18 steel. The experimental outcomes of surface roughness is discussed with comparison with dry machining and ST-CUT 54 MQL machining. It was observed that with MQL turning the roughness produce better compared to dry machining. The optimum condition was found to be cutting speed at 100m/min, feed at 0.05mm/rev and depth of cut at 0.4mm. The outcomes are useful for improved machining industrial practices.