Journal of Materials Science

, Volume 44, Issue 12, pp 3296–3304 | Cite as

An experimental analysis of effective high speed turning of superalloy Inconel 718

  • D. G. Thakur
  • B. RamamoorthyEmail author
  • L. Vijayaraghavan


Superalloy, Inconel 718 is widely used in the sophisticated applications due to its unique properties. However, machining of such superior material is difficult and costly due its peculiar characteristics. The present article is an attempt to suggest Taguchi optimization technique to study the machinability of Inconel 718 with respect to cutting force, cutting temperature, and tool life in high speed turning of Inconel 718 using cemented tungsten carbide (K20) cutting tool. Therefore, the objective of this work is divided into two phases: (i) to demonstrate a correlation between cutting speed, feed, and depth of cut with respect to cutting force, cutting temperature, and tool life in a process control of high speed turning of Inconel 718 in order to identify the optimum combination of cutting parameters; (ii) to show the effect of high speed cutting parameters on the tool wear mechanism and chip analysis. These correlations were obtained by multiple linear regressions. The confirmation tests were carried out to make a comparison between the experimental results and mathematical models proposed. The proposed models agree well with the experimental results.


Tool Life Orthogonal Array Taguchi Method Flank Wear Cubic Boron Nitride 
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  1. 1.
    Phadke MS (1989) Quality engineering using robust design. Prentice-Hall, Englewood Cliffs, NJGoogle Scholar
  2. 2.
    Ross PJ (1988) Taguchi techniques for quality engineering. McGraw-Hill, New YorkGoogle Scholar
  3. 3.
    Sims CT, Stoloff NS, Hagel WC (1987) Supperalloys II—high temperature materials for aerospace and industrial. Power Wiley, New YorkGoogle Scholar
  4. 4.
    Choudhary IA, El-Baradie MA (1998) J Mater Process Technol 77:278CrossRefGoogle Scholar
  5. 5.
    Ezugwu EO, Bonney J, Yamane Y (2003) J Mater Process Technol 134:233CrossRefGoogle Scholar
  6. 6.
    Li I, He N, Wang ZG, Wang (2002) J Mater Process Technol 129:127CrossRefGoogle Scholar
  7. 7.
    Rahman M, Seah WKH, Teo TT (1997) J Mater Process Technol 63:199CrossRefGoogle Scholar
  8. 8.
    Dudzinski D, Devillez A, Moufki AD et al (2004) Int J Mach Tool Manuf 44:439CrossRefGoogle Scholar
  9. 9.
    Davim JP (2001) J Mater Process Technol 116:305CrossRefGoogle Scholar
  10. 10.
    Yang WH, Tarng YS (1998) J Mater Process Technol 84:122CrossRefGoogle Scholar
  11. 11.
    Nalbant M, Gökkaya H, Sur G (2007) Mater Des 28:1379CrossRefGoogle Scholar
  12. 12.
    Yang JL, Chen JC (2001) J Ind Technol 17(2):1Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • D. G. Thakur
    • 1
  • B. Ramamoorthy
    • 1
    Email author
  • L. Vijayaraghavan
    • 1
  1. 1.Manufacturing Engineering Section, Mechanical Engineering DepartmentIIT-MadrasChennaiIndia

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