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Parameter Optimization of Ball End Milling Process on Inconel 718 Using RSM and TLBO Algorithm

  • Nandkumar N. Bhopale EMAIL logo , Nilesh Nikam and Raju S. Pawade
Published/Copyright: July 23, 2015
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Abstract

This paper presents the application of Response Surface Methodology (RSM) coupled with Teaching Learning Based Optimization Technique (TLBO) for optimizing surface integrity of thin cantilever type Inconel 718 workpiece in ball end milling. The machining and tool related parameters like spindle speed, milling feed, axial depth of cut and tool path orientation are optimized with considerations of multiple response like deflection, surface roughness, and micro hardness of plate. Mathematical relationship between process parameters and deflection, surface roughness and microhardness are found out by using response surface methodology. It is observed that after optimizing the process that at the spindle speed of 2,000 rpm, feed 0.05 mm/tooth/rev, plate thickness of 5.5 mm and 15° workpiece inclination with horizontal tool path gives favorable surface integrity.

PACS® (2010).: 81.05 Bx; 81.20 Wk

Acknowledgments

The authors are grateful to Dr. Suhas S. Joshi and Mr. Sagar Shinde for their help in providing experimental facility. Also, authors acknowledge the support of TEQUIP II, MHRD for providing financial assistance for sample preparation machine.

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Received: 2014-12-30
Accepted: 2015-7-4
Published Online: 2015-7-23
Published in Print: 2015-9-15

©2015 by De Gruyter

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