Prediction and Optimization of Surface Roughness by Desirability Analysis

Abstract

This project deals with the prediction and optimization of surface roughness by desirability approach. There are some machining parameters that have significant effects on the surface of a metal and cause surface roughness. Now a days, it is a big concern to reduce the surface roughness for various machining operation by changing the value of machining parameters like feed rate, cutting speed etc. Here, in this project there were observations of rough surface at different feed and cutting speed. However, a CNC drilling machine can have different operation along with drilling. Obviously, there is roughness in the machined surface of a drilled hole. In this project there an effort has been made to develop a mathematical model of a CNC drilling machine for reducing surface roughness as much as possible. For getting the optimum values of machining parameters, “Desirability approach” and “ANOVA” were applied. Also there was an application of image processing to evaluate the circularity as it varies widely with the change of machining parameters. However, there is a successful prediction of surface roughness and the optimum cutting condition is found out. And this investigation to reduce roughness by producing a mathematical model for a CNC drilling machine is proved to be very much accurate by experimental validation which might be reference for further investigation on surface roughness for another operating conditions .