CHARACTERIZATION OF MACHINING PARAMETERS ON EN 31 WITH AL2O3 NANOPARTICLES USING TAGUCHI TECHNIQUE

The objective of this research is to optimize the machining parameters for face milling of EN 31 steel work piece using tungsten carbide tipped tool under minimum coolant flow requirement. Taguchi method of experimental design is applied to optimize the material removal rate. Experimental design consists of L16 orthogonal array involving three factors with four levels and one factor with two levels. Along with speed, feed rate and depth of cut machining parameters Aluminium Oxide (Al2O3) nano-particles with 60 nm are added in the coolant for improving the face milling process. The effect of these parameters on the material removal rate is discussed with detailed analysis. The analysis of mean and variance technique is also used to study the significance of each parameter on the response. From the results it is observed that, the material removal rate was found maximum at A4 B4 C4 D2 with spindle speed of 3500 rpm, feed rate of 2000 mm/min, depth of cut of 1.2 mm and 3% concentration of nanoparticles in coolant