Experimental Investigation for Tool Life by Optimizing Cutting Parameters in Plain Turning Operation by Statistical Methods
Neha Chouhan1, Rohit Gupta2

1Neha Chouhan, Lecturer, Department of Mechanical Engineering, Government Polytechnic College, Jodhpur (Rajasthan), India.
2Rohit Gupta, M.Tech. Scholar, Department of Mechanical Engineering, MBM Engineering College, Jodhpur (Rajasthan), India.

Manuscript received on 15 February 2017 | Revised Manuscript received on 22 February 2017 | Manuscript Published on 28 February 2017 | PP: 34-39 | Volume-6 Issue-3, February 2017 | Retrieval Number: C4823026317/17©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Rate of production and tool material cost plays a significant role other than the material cost of the part to be made in a production run from economic point of view. The maximum production rate can be achieved if the total time required per piece is reduced to a minimum [1]. The paper presents an optimization technique to achieve minimum tool wear which would lead to reduced tool changing time and tooling cost. The experimental layout is designed based on the Taguchi`s L9 orthogonal array technique and analysis of variance (ANOVA) is performed to identify the effect of the cutting parameters on the response variables. Two different set of response variables are used, first, variation of cutting speed with feed and depth of cut, second, variation of rake angle with feed and depth of cut. The calculation is performed using Minitab-17 software.
Keywords: Optimization Technique, Taguchi`S L9 Orthogonal Array, Analysis Of Variance (ANOVA), Minitab-17

Scope of the Article: Discrete Optimization