Optimization of Machining Parameters for Turning using Taguchi Approach
Anand S.Shivade1, Shivraj Bhagat2, Suraj Jagdale3, Amit Nikam4, Pramod londhe5
1Anand S. Shivade, Lecturer, Gourishankar polytechnic, Satara (Maharashtra), India.
2Shivraj Bhagat, Students, Satara College of engineering & managements, Satara (Maharashtra), India.
3Suraj Jagdale, Students, Satara College of engineering & managements, Satara (Maharashtra), India.
4Amit Nikam, Students, Satara College of engineering & managements, Satara (Maharashtra), India.
5Pramod Londhe, Students, Satara College of engineering & managements, Satara (Maharashtra), India.
Manuscript received on 20 March 2014 | Revised Manuscript received on 25 March 2014 | Manuscript published on 30 March 2014 | PP: 145-149 | Volume-3 Issue-1, March 2014 | Retrieval Number: A1034033114/2014©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: Modern manufacturers, seeking to remain competitive in the market, rely on their Manufacturing engineers and production personnel to quickly and effectively set up manufacturing processes for new products. This paper presents the single response optimization of turning parameters for Turning on EN8 Steel. Experiments are designed and conducted based on Taguchi’s L9 Orthogonal array design. This paper discusses an investigation into the use of Taguchi parameter Design optimize the Surface Roughness and Tool tip temperature in turning operations using single point carbide Cutting Tool. The Analysis of Variance (ANOVA) is employed to analyze the influence of Process Parameters during Turning. The useful results have been obtained by this research for other similar type of studies and can be helpful for further research works on the Tool life.
Keywords: ANOVA, EN8, Optimization, Surface Roughness, Turning.
Scope of the Article: Discrete Optimization