15-10-2014, 09:41 AM
Abstracts: ? Industries around the world continually strive for lower cost solution with improved quality and reliability in order to maintain that competitiveness. Even though the machine tool industry in India has made tremendous progress, the metal cutting industries continue to suffer from a major drawback of not running the machine tool at their optimum operation condition as well as not getting desired quality of the product with economical cost. ? Turning is the method which is used to remove oxide scale, mild scale, surface cracks. ? There are many parameters that have an effect on surface roughness but there are difficult to quantify adequately. In turning operation many parameter such as cutting speed feed rate and depth of cut are known to have a large impact on surface quality. In this project Taguchi method is applied to find optimum process parameters for turning while hard machining of hardened steel orthogonal array and analysis of variance (ANOVA) are applied to study performance characteristics of machining parameter with consideration of surface finish. ? Parametric study shows the effect of different parameters i.e. speed, feed, depth of cut etc. on the surface roughness. The relation between parameters is plotted on the graphs. It may be helpful to select the proper speed, feed and depth of cut for required surface finish. ? Parametric analysis shows the percentage contribution of individual parameters on surface quality. The percentage contribution of cutting speed is 7.412%, feed of 83.01% and depth of cut is 2.76% for required surface finish. ? By Grey relational analysis, the optimal machining parameters setting can be obtained for considering maximum metal removal rate and minimum surface roughness simultaneously. Furthermore, this approach is feasible to obtain optimal machining parameters for a desired surface roughness and maximum metal removal rate by Grey relational analysis.