IJIRST –International Journal for Innovative Research in Science & Technology| Volume 2 | Issue 02 | July 2015 ISSN (online): 2349-6010 All rights reserved by www.ijirst.org 263 Application of Taguchi Method in the Optimization of Cutting Parameters for Surface Roughness in Turning on EN-362 Steel Sandeep Kumar Manjeet Bohat M. Tech Student Assistant Professor University Institute of Engineering & Technology Kurukshetra University, Kurukshetra University Institute of Engineering & Technology Kurukshetra University, Kurukshetra Abstract This paper point of the optimizing the cutting parameters for the surface roughness obtained in turning operation using taguchi technique. The array, the signal-to-noise ratio, and analysis of variance are employed to study the performance characteristics of EN 362 steel bars using tungsten carbide cutting tools Mainly cutting parameters namely, insert radius, feed rate, and depth of cut, are optimized with considerations of surface roughness. Experimental results obtained are established to illustrate the effectiveness of this approach. Keywords: Turning, Surface Roughness Taguchi Techniques, Orthogonal Arrays, Analysis Of Variance (ANOVA) _______________________________________________________________________________________________________ I. INTRODUCTION In a machining process, turning operation is an important operation to remove the material from the work piece. In present scenario, manufacturing industry are growing day by day. The main target of any organisation is to get more and more profit by minimum cost. For achieve the economic objective, it is also an important to select cutting parameters for getting high cutting performance. It can achieve minimum production cost, minimum production time. [1]This type of material used to manufacture a component which has better reliability and surface roughness. It should be surface integral with economic time structure. [2] There are many factors that affect surface roughness during the operation. Machine shop can’t get the targets without knowing that how it can operated in desired optimal conditions and it is done by proper selection of cutting tool parameters and optimal conditions and a methodical approach by experimental methods, mathematical as well as statistical models. It also requires design experiments and analyse data. [3] Surface roughness is an important parameter as it is very useful to prevent impulsive fatigue failure, and to increases corrosion resistance. It also helps to increase product life. [4]Taguchi method is very useful to examine effect of turning parameters. It studies alteration and range analysis open. Feed rate is main turning parameter effecting surface roughness, tracked by cut speed, while depth of cut display negligible influence [5]. The surface roughness improve with the increase of feed rate and it decreases with the increase of work piece hardness. We can say that, the depth of cut, work piece hardness and feed rate are the three main machining parameters that affect the cutting forces. The optimal machining conditions can produce the lowest surface roughness. [6]In Taguchi method, for L9 orthogonal array taken for three different levels of cutting speed, feed rate and depth of cut, taguchi could reduce a list of experiment in the same operation. It could design optimum cutting conditions for satisfying results that may be helpful in future theoretical and manufacturing studies. [7]Taguchi method offers a modest, regular, and effective methodology which world will use to optimize the cutting parameters. The insert radius and feed rate are also main parameters like as three other factors (insert radius, feed rat output performance characteristics e and depth of cut) which affect the surface roughness in case of ATST 1030 carbon steel. [8] It is found that when feed rate increase the surface roughness also improved. Feed rate is one of the important parameter which produces greater impact on surface roughness tracked by cutting speed. [9] It is examine, contact effect of one input parameter over another parameter to finding their effect on output performance characteristics. It can be find impact of single parameter on the output performance characteristics [10] In this paper, turning of EN 362 is considered in dry cutting conditions. The effect of the three cutting parameter including cutting speed, feed rate, and depth of cut, on surface roughness (Ra) is examined by using Taguchi technique. Orthogonal array and signal-to-noise (S/N) ratio are used for experimental proposal and data investigation. II. EXPERIMENTAL METHODOLOGY Work Material A. The work specimens nominated for experiment are EN 362 two bars of 300mm long and 32 in diameters.