Optimization of Machining Process Parameters on Titanium Grade 9 using Taguchi Method

Abstract

In the contemporary world, the standard of the surface end is most significant demand for several turned work piece due to that maker's square measure seeking to stay competitive in the market. Taguchi parameter style is a powerful tool and efficient methodology for optimizing quality and performance output of the producing method. This paper investigates the parameters poignant the surface roughness manufacture in turning method for material Titanium Grade 5. Design of experiment was conducted for analysis of the influence of the turning parameters like spindle speed, feed, and depth of cut on Surface roughness. The results of the machining experiments for Titanium Grade 5 wherever wont to characterize the main factors poignant the surface roughness by the Analysis of Variance (ANOVA) methodology. The feed rate was found to be the foremost important parameter influencing the surface roughness in turning method. Confirmation check additionally has been performed to predict and verify the adequacy of the model for deciding optimum characteristics of respondents. The result obtained by on top of the methodology is going to be helpful to different analysis works for similar kind of study for any analysis on tool vibrations, cutting forces, rake angle etc. Keywords: Surface Roughness, Titanium Grade 9, Taguchi method, ANOVA method INTRODUCTION Today, the manufacturing industry needs surface quality and productivity. The current state of the economy and consequent market pressure has forced manufacturers to simultaneously decrease the surface roughness and increase the metal removal rate so that they can meet the quality and time constraints. Mainly, the surface roughness affects wear resistance, ductility, tensile strength, fatigue strength, etc., for machined parts and cannot be neglected in designing any component. The imperative objective of the science of metal cutting is the solution of practical problems associated with the efficient and precise removal of metal from the work piece. Turning process is used in the experimentation. Turning is one of the common metal cutting operations used for machining parts in the manufacturing industry. 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. In the present work, an experimental investigation of machining parameters on Titanium Grade 9 with HSS tool in turning is carried out and the effect of different cutting parameters on the surface roughness is studied because one can relate quality with surface roughness and productivity. The material used for the analysis is Titanium Grade 5 which is widely used in Shaft pump valves, my ladder rungs, Gas turbines, Pipes flanges & fitting for the oil industry, Nut and bolt. Obtained experimental readings are analyzed with the help of the Taguchi method and ANOVA. Results obtained from both this analysis are closely matching with each other. Traditionally, the selection of cutting conditions for metal cutting is left to the machine operator. In such cases, the experience of the operator plays a major role, but even for a skilled operator, it is very difficult to attain the optimum values each time. Machining parameters in metal turning are cutting speed, feed rate and depth of cut. The setting of these parameters determines the quality characteristics of turned parts. Hence our aims to study the effect of changes in parameter over the surface finish of the material. Also to get different combinations of parameters in order to get a good surface finish. During going through the process we will study the Taguchi Method and to find the expected result by least possible no. of the experiment. TABLE 1 Independent variables and their levels.