ABSTRACT:The objective of this study is to develop a better understanding of the effects of spindle speed, cutting feed rate and depth of cut on the surface roughness and to build a suitable mathematical model. Such an understanding can provide insight into the problems of controlling the finish of machined surfaces when the process parameters are adjusted to obtain a certain responses like surface finish and power consumption. Also, the demand for high quality and fully automated production focuses attention on the surface condition of the product, especially the roughness of the machined surface, because of its effect on product appearance, function, and reliability. For these reasons it is important to maintain consistent tolerances and surface finish. Also, the quality of the machined surface is useful in diagnosing the stability of the machining process, power consumption, MRR, progressive tool wear, cutting tool chatter, etc.

ABSTRACT:The objective of this study is to develop a better understanding of the effects of spindle speed (S), cutting feed rate (f) and depth of cut (d) on power consumption and to build a suitable mathematical model. Such an understanding can provide insight into the problems of estimating the power requirements of machined surfaces when the process parameters are adjusted to obtain a certain responses like power consumption. This paper aims at presenting the techniques that can be employed to predict the effect of speed, feed and depth-of-cut to generate information that will allow us to understand and model the relationship between the process variables and measures of the process performance