Parametric Evaluation Performance of Ti-6Al-4V using Coated & Uncoated Carbide Insert in CNC Turning – A Review
Bhavik Patel1, Kiran Patel2, Tushar Patel3, Harshad Patel4
1Bhavik Patel, P.G. Scholar, Department of Mechanical Engineering, LDRP Institute of Technology and Research, Gandhinagar (Gujarat), India.
2Kiran Patel, Assistant Professor, Department of Mechanical Engineering, LDRP Institute of Technology and Research, Gandhinagar (Gujarat), India.
3Tushar Patel, Associate Professor, Department of Mechanical Engineering, LDRP Institute of Technology and Research, Gandhinagar (Gujarat), India.
4Harshad Patel, Associate Professor, Department of Mechanical Engineering, V.P.M.P. Polytechnic, Gandhinagar (Gujarat), India.
Manuscript received on 10 October 2017 | Revised Manuscript received on 18 October 2017 | Manuscript Published on 30 October 2017 | PP: 81-83 | Volume-7 Issue-1, October 2017 | Retrieval Number: A5196107117/17©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 study consists a comparison of outcomes obtained by PVD coated carbide insert and uncoated carbide insert during dry turning Ti6Al4V which is titanium alloy. It has many applications such as aerospace components, medical surgical parts etc. due to their properties such as high strength to weight ratio, better corrosion resistance and heat treatable. In this experiment, turning was carried out using different cutting parameters like speed, feed and depth of cut. Design of Experiment was based on Taguchi’s L9 orthogonal array. Surface roughness was measured for different combination of input parameter. The analysis of variance is carried to get the optimal levels and to analyze the effect of the cutting parameters on the surface roughness with different inserts of tools.
Keywords: Titanium alloy, Dry Machining, Taguchi method, PVD Coated, Uncoated carbide Insert
Scope of the Article: Machine Learning