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Analysis of Machining Parameters for Face Milling of Inconel 718 using Response Surface Methodology
Sachin Kattookaren1, Sanath Vimal M2, Pal Pandian P3, Ivan Sunit Rout4

1Sachin Kattookaren, Department of Mechanical, CHRIST Deemed to be University, Bangalore (Karnataka), India.
2Sanath Vimal, Department of Mechanical, CHRIST Deemed to be University, Bangalore (Karnataka), India.
3Dr. Pal Pandian P, Department of Mechanical, CHRIST Deemed to be University, Bangalore (Karnataka), India.
4Ivan Sunit Raut, Department of Mechanical, CHRIST Deemed to be University, Bangalore (Karnataka), India.
Manuscript received on 19 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript Published on 15 June 2019 | PP: 75-78 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00070581S219/2019©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: The machining of Inconel 718 which is a nickel based super alloy has become a material of great importance mainly in the aerospace industry. Reason being the materials possesses properties of increase in strength at elevated temperature, high resilience to chemical reaction and high wear resistance. Gaining optimum machining parameters have become a great concern in the manufacturing industry, where economy of machining plays a very important key role in the market. This paper gives an overview of the experimentation conducted on the basis of Response Surface Methodology (RSM). Regression equations have been developed for surface roughness, by taking into consideration the machining parameters like cutting speed, feed rate and depth of cut for face milling operation performed in CNC machine. RSM analysis was carried out with the help of Mini Tab 18 software. The Mathematical equation developed after regression analysis shows to be very efficient.
Keywords: Face Milling, Inconel 718 and RSM.
Scope of the Article: Machine Design