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Application of Taguchi Method for Optimizing Turning Process by the effects of Machining Parameters
Krishankant1, Jatin Taneja2, Mohit Bector3, Rajesh Kumar4
1Krishankant, Faculty of Mechanical Engineering, Galaxy Global Group of Institutions, Dinarpur, Ambala, India.
2Jatin Taneja, Faculty of Mechanical Engineering, Galaxy Global Group of Institutions, Dinarpur, Ambala, India.
3Mohit Bector, Faculty of Mechanical Engineering, Galaxy Global Group of Institutions, Dinarpur, Ambala, India.
4Rajesh Kumar, Faculty of Mechanical Engineering, Kurukshetra Institute of Technology & Management ,India.
Manuscript received on September 12, 2012. | Revised Manuscript received on October 10, 2012. | Manuscript published on October 30, 2012. | PP: 263-274 | Volume-2 Issue-1, October 2012.  | Retrieval Number: A0726092112/2012©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper reports on an optimization of turning process by the effects of machining parameters applying Taguchi methods to improve the quality of manufactured goods, and engineering development of designs for studying variation. EN24 steel is used as the work piece material for carrying out the experimentation to optimize the Material Removal Rate. The bars used are of diameter 44mm and length 60mm. There are three machining parameters i.e. Spindle speed, Feed rate, Depth of cut. Different experiments are done by varying one parameter and keeping other two fixed so maximum value of each parameter was obtained. Operating range is found by experimenting with top spindle speed and taking the lower levels of other parameters. Taguchi orthogonal array is designed with three levels of turning parameters with the help of software Minitab 15. In the first run nine experiments are performed and material removal rate (MRR) is calculated. When experiments are repeated in second run adain MRR is calculated. Taguchi method stresses the importance of studying the response variation using the signal–to–noise (S/N) ratio, resulting in minimization of quality characteristic variation due to uncontrollable parameter. The metal removal rate was considered as the quality characteristic with the concept of “the larger-the-better”. The S/N ratio for the larger-the-better Where n is the number of measurements in a trial/row, in this case, n=1 and y is the measured value in a run/row. The S/N ratio values are calculated by taking into consideration with the help of software Minitab 15. The MRR values measured from the experiments and their optimum value for maximum material removal rate. Every day scientists are developing new materials and for each new material, we need economical and efficient machining. It is also predicted that Taguchi method is a good method for optimization of various machining parameters as it reduces the number of experiments. From the literature survey, it can be seen that there is no work done on EN24 steel. So in this project the turning of EN24 steel is done in order to optimize the turning process parameters for maximizing the material removal rate.
Keywords: Taguchi Method, Machining Parameters, Turning Process, EN24 Steel, Software Minitab15.