STUDY ON THE MACHINABILITY CHARACTERISTICS DURING HIGH-SPEED TURNING OF INCONEL 718 WITH PVD COATED TOOL

Authors

  • Satyanarayana B Department of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering & Technology, Hyderabad, Andhra Pradesh-500 090, India
  • Ranga Janardhana G Department of Mechanical Engineering, College of Engineering, J N T U, Vizianagaram, Andhra Pradesh-535 002, India
  • Hanumantha Rao D Department of Mechanical Engineering, Matrusri Engineering College, Hyderabad, Andhra Pradesh- 501 510, India
  • Narendra P Department of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering & Technology, Hyderabad, Andhra Pradesh-500 090, India

Keywords:

Inconel 718, High speed machining, JMP Statistical software

Abstract

Nickel-based Superalloy, Inconel 718 is difficult-to-cut material due to its properties like low thermal conductivity, work hardening etc. and retains its strength at high temperatures. This paper presents an optimization approach for determination of the optimum cutting parameters which minimize the machinability characteristics such as Surface Roughness and Temperature in High Speed turning of Inconel 718 using SECO make PVD coated tungsten carbide tool SNMG 120408 TS 2000. An exhaustive experimental study has been conducted with various cutting parameters like speed, feed and depth of cut with three levels each. Optimization has been carried out by using Taguchi method. Also the significant cutting parameters have been found out for the process optimization by performing an ANOVA. Confirmation tests with the optimal levels of cutting parameters are carried out in order to illustrate the effectiveness of the method.  JMP statistical software was used to compare the results. Validations of the modeled equations are proved to be well within the agreement with the experimental data.

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References

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Published

2012-06-01

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Section

Articles

How to Cite

[1]
“STUDY ON THE MACHINABILITY CHARACTERISTICS DURING HIGH-SPEED TURNING OF INCONEL 718 WITH PVD COATED TOOL”, JME, vol. 7, no. 2, pp. 058–066, Jun. 2012, Accessed: Nov. 15, 2024. [Online]. Available: https://smenec.org/index.php/1/article/view/378

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