Machining Parameter optimization by using Taguchi Technique for CNC turning of Grade T6 Aluminium alloy
Pratheesh J P2, Dev Anand M2, Jesuthanam C P3, Prakash J P4, Shajin S5
1Pratheesh J P*, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamil Nadu, India.
2M. Dev Anand, Department of Mechanical Engineering, Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil, Tamil Nadu, India.
3Dr. Jesuthanam C P, Principal, Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamilnadu, India.
4Prakash J P, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamil Nadu, India.
5Shajin S, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu, Tamil Nadu, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on 27 November, 2019. | Manuscript published on December 10, 2019. | PP: 2458-2461 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7027129219/2019©BEIESP | DOI: 10.35940/ijitee.B7027.129219
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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: With the increase in demand for producing products with good surface finish within reduced time. Selection of suitable parameters for machining in CNC lathe is much required from the operator’s point of view. To attain the desired parameters this study deals taguchi technique as a tool in process parameter optimization using carbon insert CNMG tool in turning of AA6063 alloy. L9 orthogonal array is selected for conducting the experiments and for this Feed, Cutting Speed, Depth of Cut are the process parameters. The ANOVA and S-N ratio is used to analyse the characteristic performance of the turning operation performed. From the results of ANOVA the most influential parameter in reducing the surface roughness is found as depth of cut. Finally for various process parameter combinations the surface roughness is calculated and the optimum parameter for machining is attained by using Taguchi. For authentication of the optimum output attained in optimization experiments have been conducted to get maximum surface finish when machining the aluminium alloy in CNC turning.
Keywords: AA6063 alloy, Taguchi, ANOVA, Surface Roughness.
Scope of the Article: Frequency Selective Surface