Optimization of the Parameter in Cylindrical Grinding of Mild Steel Rod (EN19) By Taguchi Method

Abstract

The manufacturing process of cylindrical grinding has been established in the mass production of slim, rotationally symmetrical component. Due to the complex set-up, which results from the large sensitivity of this grinding process to a multiplicity of geometrical, kinematical dynamical influence parameters, cylindrical grinding is rarely applied with limited-lot production. The important qualities of this grinding process are the at the same time opinion and machining of the work part on its periphery. Cylindrical grinding is an essential process for final machining of components requires smooth cylindrical and precise tolerances. As made a comparison with other machining processes grinding is high priced of great value operation that should be made use of under most good conditions. Also widely used in industrial areas, grinding remains perhaps the least understood of all machining processes. The proposed work takes the following input process parameters namely Work speed, Depth of cut and Feed. The main objective of this work is to predict the grinding behavior and achieve optimal operating process parameters. Software is used to utilize which integrates these various models to simulate what happens during cylindrical grinding processes. Predictions from this simulation will be further analyzed, calibration with actual data. It involves some variables that is depth of cut, work speed, feed rate, chemical composition of work piece, etc. The main objective in any machining process is to maximize the Metal Removal Rate (MRR) and to minimize the cylindrical roughness. In order to optimize these values Taguchi method, regression analysis and ANOVA is used.