Skip to main content
SpringerLink
Log in

Optimization of cryogenic cooled EDM process parameters using grey relational analysis

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

This paper presents an experimental investigation on cryogenic cooling of liquid nitrogen (LN2) copper electrode in the electrical discharge machining (EDM) process. The optimization of the EDM process parameters, such as the electrode environment (conventional electrode and cryogenically cooled electrode in EDM), discharge current, pulse on time, gap voltage on material removal rate, electrode wear, and surface roughness on machining of AlSiCp metal matrix composite using multiple performance characteristics on grey relational analysis was investigated. The L18 orthogonal array was utilized to examine the process parameters, and the optimal levels of the process parameters were identified through grey relational analysis. Experimental data were analyzed through analysis of variance. Scanning electron microscopy analysis was conducted to study the characteristics of the machined surface.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. H. Hocheng, W. T. Lei and H. S. Hsu, Preliminary study of material removal in electrical-discharge machining of SiC/Al, J. Mater. Process Technlo., 63 (1997) 813–818.

    Article  Google Scholar 

  2. W. S. Lau, T. M. Yue, T.C. Lee and W. B. Lee, Unconventional machining of composite materials, J. Mater. Process Technlo., 48 (1995) 199–205.

    Article  Google Scholar 

  3. I. Puertas and C. J. Luis, A study of optimization of machining parameters for electrical discharge machining of boron carbide, Materials and Manufacturing Process, (19) 2004 1041–1070.

    Article  Google Scholar 

  4. I. Puertas C. J. Luis and G. Villa, Spacing roughness parameters study on the EDM of silicon carbide, J. Mater. Process Technlo., 164–165 (2005) 1590–1596.

    Article  Google Scholar 

  5. C. J. Luis, I. Puertas and G. Villa, Material removal rate and electrode wear study on the EDM of silicon carbide, J. Mater. Process Technlo., 164–165 (2005) 889–896.

    Article  Google Scholar 

  6. P. Narender Singh,_K. Raghukandan, M. Rathinasabapathi and B. C. Pai, Electric discharge machining of Al-10%SiCP as-cast metal matrix composites, J. Mater. Process Technlo., 155–156 (2004) 1653–1657.

    Google Scholar 

  7. P. Narender Singh, K. Raghukandan and B. C. Pai, Optimisation by grey relational analysis of EDM parameters on machining Al-10%SiCP composites. J Mater Process Technlo., 155–156 (2004) 1658–1661.

    Article  Google Scholar 

  8. Yan-Cherng Lina, A-Cheng Wangb, Der-AnWanga and Chih-Cherng Chenc, Machining performance and optimizing machining parameters of Al2O3-TiC ceramics using EDM based on the Taguchi method, Materials and Manufacturing Processes, 24 (2009) 667–674.

    Article  Google Scholar 

  9. B. Lauwers, J. P. Kruth, W. Liu, W. Eeraerts, B. Schacht and P. Bleys, Investigation of material removal mechanisms in EDM of composite ceramic materials, J. Mater. Process Technlo., 149 (2004) 347–352.

    Article  Google Scholar 

  10. Marin Gostimirovic, Pavel Kovac, Milenko Sekulic and Branko Skoric, Influence of discharge energy on machining characteristics in EDM, Journal of Mechanical Science and Technology, 26 (1) (2012) 173–179.

    Article  Google Scholar 

  11. Yasin Sarikavak and Can Cogun, Single discharge thermoelectrical modeling of micromachining mechanism in electric discharge machining, Journal of Mechanical Science and Technology, 26 (5) (2012) 1591–1597.

    Article  Google Scholar 

  12. Suleiman Abdulkareema, Ahsan Ali Khana and Mohamed Konneha, Cooling effect on electrode and process parameters in EDM, Materials and Manufacturing Processes., 25 (2010) 462–466.

    Article  Google Scholar 

  13. Suleiman Abdulkareema, Ahsan Ali Khana and Mohamed Konneha, Reducing electrode wear ratio using cryogenic cooling during electrical discharge machining, Journal of Advance Manufacturing Technology, 45 (2009) 1146–1151.

    Article  Google Scholar 

  14. Vineet Srivastava and Pulak M. Pandey, Performance Evaluation of Electrical Discharge Machining (EDM) Process Using Cryogenically Cooled Electrode, Materials and Manufacturing Processes, 27 (2012) 683–688.

    Article  Google Scholar 

  15. Vineet Srivastava and Pulak M. Pandey, Effect of process parameters on the performances of EDM process with ultrasonic assisted cryogenically cooled electrode, Journal of Manufacturing Process, 14 (2012) 393–402.

    Article  Google Scholar 

  16. N. R. Dhar and M. Kamruzzaman, Cutting temperature, tool wear, surface roughness and dimensional deviation in turning AISI-4037 steel under cryogenic condition, Int. J Mach Tools Manufa., 47 (2007) 754–759.

    Article  Google Scholar 

  17. A. B. Chattopadhyay and K. A. Venugopal and S. Paul, Growth of tool wear in turning of Ti-6Al-4V alloy under cryogenic cooling, Wear, 262 (2007) 1071–1078.

    Article  Google Scholar 

  18. M. Dhanachezian and M. Pradeep kumar, Cryogenic turning of the Ti-6Al-4V alloy with modified cutting tool inserts, Cryogenics., 51 (2011) 34–40.

    Article  Google Scholar 

  19. M. Dhanachezian, M. Pradeep kumar and T. Sornakumar, Cryogenic turning of AISI 304 stainless steel with modified cutting tungsten carbide tool insert, Materials and Manufacturing Process, 26 (2006) 781–785.

    Article  Google Scholar 

  20. Shane Y. Hong, Yucheng Ding and Woo-cheol Jeong, Friction and cutting forces in cryogenic machining of Ti-6Al-4V, Int. J Mach Tools Manufa., 41 (2001) 2271–2285.

    Article  Google Scholar 

  21. B. Dilip Jerold and M. Pradeep kumar, Machining of AISI 316 Stainless Steel Under Carbon-Di-Oxide Cooling, Materials and Manufacturing Process, 27 (2012) 1059–1065.

    Article  Google Scholar 

  22. H. H. Wu, The introduction of grey analysis, Gauli Publishing Co., Taipei (1996).

    Google Scholar 

  23. Pushpendra S. Bharti, S. Maheshwari and C. Sharma, Multi-objective optimization of electric-discharge machining process using controlled elitist NSGA-II, Journal of Mechanical Science and Technology, 26 (6) (2012) 1875–1883.

    Article  Google Scholar 

  24. Jong Hyuk Jung and Won Tae Kwon, Optimization of EDM process for multiple performance characteristics using Taguchi method and Grey relational analysis, Journal of Mechanical Science and Technology, 24 (5) (2010) 1083–1090.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, CEGC, Anna University, Chennai, 600 025, India

    Vinoth Kumar. S & Pradeep Kumar. M

Authors
  1. Vinoth Kumar. S
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pradeep Kumar. M
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vinoth Kumar. S.

Additional information

Recommended by Associate Editor Sung Hoon Ahn

Vinoth Kumar is a research scholar at Anna University. He received his B.E. and M.E. degrees in Mechanical Engineering from Anna University, India. His research interests include nontraditional machining, cryogenic machining, and optimization techniques.

Pradeep Kumar has a Ph.D. in Mechanical Engineering and works as an associate professor at the Department of Mechanical Engineering, Anna University, Chennai, India. He has approximately 14 years of teaching and research experience. He has published many research papers in international and national journals.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kumar. S, V., Kumar. M, P. Optimization of cryogenic cooled EDM process parameters using grey relational analysis. J Mech Sci Technol 28, 3777–3784 (2014). https://doi.org/10.1007/s12206-014-0840-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-014-0840-9

Keywords

Search

Navigation