Analysis and Optimization of Surface Roughness in Dry Turning Operation of Mild Steel

In all the machining operations, surface finish is an essential characteristic of concern for many of the turned workpieces.So it is very important for getting the required surface quality controlled to have the choice of optimized cutting factors.In the present experimental work the optimization of cutting factors (depth of cut, feed rate, spindle speed) has been done in dry turning of mild steel of (0.21% C).In the present work, turning operations were carried out on mild steel by high speed steel cutting tool in dry condition and the combination of the optimal levels of the factors was obtained to get the lowest surface roughness.The Analysis of Variance (ANOVA) and Signal-to-Noise ratio were used to study the performance characteristics in turning operation.The results of the analysis show that depth of cut was the only factor found to be significant.Results obtained by Taguchi method match closely with ANOVA and depth of cut is most influencing parameter.The predicted values and measured values are fairly close, which depicts that the developed model can be effectively used to predict the surface roughness in the turning operation.