Skip to main content

Analysis of the Surface Roughness Characteristics of EDMed Components Using GRA Method

  • Conference paper
  • First Online:
Proceedings of the International Conference on Industrial and Manufacturing Systems (CIMS-2020)

Abstract

The mechanical efficiency of two mating surfaces is significantly affected by the values of their surface roughness, which is also related to increased friction and their tribological performance. In this paper, during generation of holes on D3 tool steel material, the machining capability of an electrical discharge machining (EDM) process is investigated, while considering pulse-on time, pulse-off time and peak current as the controllable parameters. Various surface roughness characteristics, like Rt, Ra, Rq, Rsk, Rz, Rku, Rk, Mr1 and Mr2 are contemplated here as the process outputs because achievement of better tribological properties with low wear significantly depends on those responses. During the experimental trials, pulse-on time is varied from 90 to 250 μs, whereas, the values of pulse-off time and peak current are altered from 45 to 150 μs and 14 to 22 A respectively. Multi-objective optimization of the considered EDM process is accomplished using grey relational analysis (GRA) technique. Confirmation experiment is also carried out to confirm the betterness of the optimal parametric intermix for the said EDM process. It is observed that almost all the surface roughness properties of the EDMed components are mainly influenced by pulse-on time, followed by peak current.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Benardos, P.G., Vosniakos, G.C.: Predicting surface roughness in machining: a review. Int. J. Mach. Tools Manuf. 43(8), 833–844 (2003)

    Article  Google Scholar 

  2. De Chiffre, L., Lonardo, P., Trumpold, H., Lucca, D.A., Gosh, G., Brown, C.A., Raja, J., Hansen, H.N.: Quantitative characterization of surface texture. CIRP Ann. 49(2), 635–652 (2000)

    Article  Google Scholar 

  3. Deleanu, L., Georgescu, C., Suciu, C.: A comparison between 2D And 3D surface parameters for evaluating the quality of surfaces. Ann. “Dunarea De Jos” Univ. Galati 5, 5–12 (2012)

    Google Scholar 

  4. Deng, J.L.: Introduction to grey system theory. J. Grey Syst. 1(1), 1–24 (1989)

    MathSciNet  MATH  Google Scholar 

  5. Faisal, N., Kumar, K.: Optimization of machine process parameters in EDM for EN 31 using evolutionary optimization techniques. Technologies 6(2), 1–16 (2018)

    Article  Google Scholar 

  6. Gohil, V., Puri, Y.M.: Multi-objective optimization of material removal rate and surface roughness in electrical discharge turning of titanium alloy (Ti-6Al-V). Indian J. Eng. Mater. Sci. 24(6), 429–436 (2017)

    Google Scholar 

  7. Kumar, K.M., Hariharan, P.: Experimental determination of machining responses in machining austempered ductile iron (ADI). Procedia Eng. 64, 1495–1504 (2013)

    Article  Google Scholar 

  8. Kumar, S.V., Kumar, M.P.: Optimization of cryogenic cooled EDM process parameters using grey relational analysis. J. Mech. Sci. Technol. 28(9), 3777–3784 (2014)

    Article  Google Scholar 

  9. Laxman, J., Guru Raj, K.: Optimization of EDM process parameters on titanium super alloys based on the grey relational analysis. Int. J. Eng. Res. 3(5), 344–348 (2014)

    Article  Google Scholar 

  10. Lee, S.H., Li, X.P.: Study of the effect of machining parameters on the machining characteristics in electrical discharge machining of tungsten carbide. J. Mater. Process. Technol. 115(3), 344–358 (2001)

    Article  Google Scholar 

  11. Mazarbhuiya, R.M., Choudhury, P.K., Rahang, M.: Taguchi-grey relational based multi-objective optimization of process parameters in electric discharge machining of aluminium with copper electrode. J. Basic Appl. Eng. Res. 3(13), 1169–1171 (2016)

    Google Scholar 

  12. Özdemir, N., Özek, C.: An investigation on machinability of nodular cast iron by WEDM. Int. J. Adv. Manuf. Technol. 28(9–10), 869–872 (2006)

    Article  Google Scholar 

  13. Petropoulos, G.P., Pandazaras, C.N., Davim, J.P.: Surface texture characterization and evaluation related to machining. In: Surface Integrity in Machining, pp. 37–66. Springer, London (2010)

    Chapter  Google Scholar 

  14. Ramasawmy, H., Blunt, L.: 3D surface topology assessment of the effect of different electrolytes during electrochemical polishing of EDM surfaces. Int. J. Mach. Tools Manuf. 42, 567–574 (2002)

    Article  Google Scholar 

  15. Sedlaček, M., Podgornik, B., Vižintin, J.: Influence of surface preparation on roughness parameters, friction and wear. Wear 266, 482–487 (2009)

    Article  Google Scholar 

  16. Smith, S.: Machining, Polishing & Grinding : Precision Metalsmiths Handbook, pp. 1–95. Industrial Press, USA (2015)

    Google Scholar 

  17. Tharian, B.K., Jacob, E., Johnson, J., Hari, V.: Multi-objective parametric optimization in EDM using grey relational analysis. Mater. Today Proc. 16(2), 1013–1019 (2019)

    Article  Google Scholar 

  18. Tomadi, S.H., Hassan, M.A., Hamedon, Z., Daud, R., Khalid, A.G.: Analysis of the influence of EDM parameters on surface quality, material removal rate and electrode wear of tungsten carbide. In: Proceedings of International Multiconference of Engineers and Computer Scientists, Hong Kong, vol. 2, pp. 18–20 (2009)

    Google Scholar 

  19. Tripathy, S., Tripathy, D.K.: Multi-attribute optimization of machining process parameters in powder mixed electro-discharge machining using TOPSIS and grey relational analysis. Eng. Sci. Technol. Int. J. 19(1), 62–70 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kumar, V., Chakraborty, S. (2022). Analysis of the Surface Roughness Characteristics of EDMed Components Using GRA Method. In: Pratap Singh, R., Tyagi, D.M., Panchal, D., Davim, J.P. (eds) Proceedings of the International Conference on Industrial and Manufacturing Systems (CIMS-2020). Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-73495-4_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-73495-4_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73494-7

  • Online ISBN: 978-3-030-73495-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics