Optimization of the parameter to provide best solution to minimize tool wear, surface roughness, cutting forces presented using optimization technique. In present work an experimental study is made in this Taguchi design of experiment methodology for optimization of parameters on 7075Aluminium alloy using tungsten coated electrode. Experiments have been carried based on L27 standard orthogonal array with 3 processes parameters cutting speed, feed, and depth of cut. Electrical discharge machining performance is generally evaluated on the basis of Surface Roughness (SR), Tool wear rate (TWR) and cutting force (CF). The ANOVA were employed to study the performance characteristics in turning operation. ANOVA is plays an important role for producing higher roughness. Finally the relationship between cutting parameters and response was developed by using MINITAB-17 software. The prediction values are compared with the experimental values.
7075 Alumimium alloy, Surface Roughness, Taguchi, ANOVA
