Skip to main content
SpringerLink
Log in

Multi-objective Optimization of PMEDM Process for Maximum Material Removal Speed and Minimum Electrode Wear Rate When Machining SKD11 Steel

  • Conference paper
  • First Online:
Advances in Engineering Research and Application (ICERA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 366))

Included in the following conference series:

  • 841 Accesses

Abstract

This paper presents the results of a multi-objective optimization study when powder-mixed electrical discharge machining (PMEDM) of cylindrically shaped parts made of SKD11 steel to achieve the maximum removal speed (MRS), and minimum electrode wear rate (EWR). To carry out this study, an experiment was conducted with six input parameters, including the powder concentration, the powder size, the pulse on time, the pulse off time, the current, and the servo voltage. Besides, the Taguchi method combined with the gray relation analysis (GRA) method was used to design experiment, and analyze experimental results. The impact of the input parameters on the MRS and the EWR was analyzed. In addition, optimal input parameters to get the maximum MRS, and the minimum EWR simultaneously were found.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Jabbaripour, B., et al.: Investigating surface roughness, material removal rate and corrosion resistance in PMEDM of γ-TiAl intermetallic. J. Manuf. Process. 15(1), 56–68 (2013)

    Article  Google Scholar 

  2. Ojha, K., Garg, R., Singh, K.: Effect of chromium powder suspended dielectric on surface roughness in PMEDM process. Tribol. Mater. Surf. Interfaces 5(4), 165–171 (2011)

    Article  Google Scholar 

  3. Tran, T.-H., et al.: Electrical discharge machining with SiC powder-mixed dielectric: an effective application in the machining process of hardened 90CrSi steel. Machines 8(3), 36 (2020)

    Article  Google Scholar 

  4. Hong, T.T., et al.: Multi-response Optimization in PMSEDM process using Taguchi-Grey method. In: Sattler, K.-U., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds.) ICERA 2020. LNNS, vol. 178, pp. 594–606. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64719-3_65

    Chapter  Google Scholar 

  5. Al-Khazraji, A., Amin, S.A., Ali, S.M.: The effect of SiC powder mixing electrical discharge machining on white layer thickness, heat flux and fatigue life of AISI D2 die steel. Eng. Sci. Technol. Int. J. 19(3), 1400–1415 (2016)

    Google Scholar 

  6. Kansal, H., Singh, S., Kumar, P.: Technology and research developments in powder mixed electric discharge machining (PMEDM). J. Mater. Process. Technol. 184(1–3), 32–41 (2007)

    Article  Google Scholar 

  7. Kung, K.-Y., Horng, J.-T., Chiang, K.-T.: Material removal rate and electrode wear ratio study on the powder mixed electrical discharge machining of cobalt-bonded tungsten carbide. Int. J. Adv. Manuf. Technol. 40(1–2), 95–104 (2009)

    Article  Google Scholar 

  8. Kumar, N., Ahsan, R.: Study of PMEDM efficiency on EN-31 steel using tungsten powder in dielectric fluid. Int. J. Emerg. Technol. Eng. Res. 5(5), 17–24 (2017)

    Google Scholar 

  9. Nguyen, M.C., et al.: Influence of input factors on material removal rate in PMEDM cylindrical shaped parts with silicon carbide powder suspended dielectric. In: Key Engineering Materials. Trans Tech Publ. (2020)

    Google Scholar 

  10. Hong, T.T., et al.: Optimization of PMEDM parameters for improving MMR in machining 90CrSi steel – a Taguchi approach. In: Sattler, K.-U., Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H. (eds.) Advances in Engineering Research and Application: Proceedings of the International Conference on Engineering Research and Applications, ICERA 2020, pp. 648–657. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-64719-3_71

    Chapter  Google Scholar 

  11. Hong, T.T., et al.: Effect of process parameters on machining time in PMEDM cylindrical shaped parts with silicon carbide powder suspended dielectric. In: Materials Science Forum. Trans Tech Publ. (2021)

    Google Scholar 

  12. Singh, B., Kumar, J., Kumar, S.: Investigation of the tool wear rate in tungsten powder-mixed electric discharge machining of AA6061/10% SiCp composite. Mater. Manuf. Process. 31(4), 456–466 (2016)

    Article  Google Scholar 

  13. Yaşar, H., Ekmekci, B.: Ti-6Al-4V surfaces in SiC powder mixed electrical discharge machining. In: Advanced Materials Research. Trans Tech Publ. (2014)

    Google Scholar 

  14. Patel, S., Thesiya, D., Rajurkar, A.: Effect of aluminium powder concentration on powder mixed electric discharge machining (PMEDM) of inconel-718. J. Mach. Form. Technol. 8(1/2), 29 (2016)

    Google Scholar 

  15. Patel, S., Thesiya, D., Rajurkar, A.: Aluminium powder mixed rotary electric discharge machining (PMEDM) on Inconel 718. Aust. J. Mech. Eng. 16(1), 21–30 (2018)

    Article  Google Scholar 

  16. Long, B.T., Phan, N.H., Cuong, N., Jatti, V.S.: Optimization of PMEDM process parameter for maximizing material removal rate by Taguchi’s method. Int. J. Adv. Manuf. Technol. 87(5–8), 1929–1939 (2016). https://doi.org/10.1007/s00170-016-8586-4

    Article  Google Scholar 

  17. Huu, P.-N.: Study of the effects of process parameters on tool wear rate in powder mixed electrical discharge machining by Taguchi method. Sci. Technol. Dev. J. 20(K7), 55–60 (2017)

    Article  Google Scholar 

  18. Rouniyar, A.K., Shandilya, P.: Multi-objective optimization using Taguchi and grey relational analysis on machining of Ti-6Al-4V alloy by powder mixed EDM process. Mater. Today Proc. 5(11), 23779–23788 (2018)

    Article  Google Scholar 

  19. Ibrahim, A.N., Amin, S.A., Ali, S.M.: Effect of SiC powder mixing (PMEDM) on surface residual stresses using copper and graphite electrodes (2015)

    Google Scholar 

  20. Bhattacharya, A., Batish, A., Kumar, N.: Surface characterization and material migration during surface modification of die steels with silicon, graphite and tungsten powder in EDM process. J. Mech. Sci. Technol. 27(1), 133–140 (2013)

    Article  Google Scholar 

Download references

Acknowledgment

This work was supported by Thai Nguyen University of Technology.

Author information

Authors and Affiliations

  1. University of Economics – Technology for Industries, Ha Noi, Vietnam

    Anh Tuan Nguyen

  2. Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Thi Tam Do, Ngoc Giang Tran, Ngoc Pi Vu & Xuan Tu Hoang

  3. National Research Institute of Mechanical Engineering, Ha Noi, Vietnam

    Thu Quy Le

  4. Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

    Ngoc Huy Thinh Tran

  5. Vinh Long University of Technology Education, Vinh Long, Vietnam

    Hoang Anh Le

Authors
  1. Anh Tuan Nguyen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Thi Tam Do
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Thu Quy Le
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ngoc Huy Thinh Tran
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Hoang Anh Le
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ngoc Giang Tran
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Ngoc Pi Vu
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Xuan Tu Hoang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xuan Tu Hoang .

Editor information

Editors and Affiliations

  1. Faculty of Electronic Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Duy Cuong Nguyen

  2. Faculty of Mechanical Engineering, Thai Nguyen University of Technology, Thai Nguyen, Vietnam

    Ngoc Pi Vu

  3. Vietnam Association for Science Editing, Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  4. Institute for Automation and Systems Engineering, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Horst Puta

  5. Department of Computer Science and Automation, Ilmenau University of Technology (IUT), Ilmenau, Germany

    Kai-Uwe Sattler

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

Nguyen, A.T. et al. (2022). Multi-objective Optimization of PMEDM Process for Maximum Material Removal Speed and Minimum Electrode Wear Rate When Machining SKD11 Steel. In: Nguyen, D.C., Vu, N.P., Long, B.T., Puta, H., Sattler, KU. (eds) Advances in Engineering Research and Application. ICERA 2021. Lecture Notes in Networks and Systems, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-030-92574-1_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-92574-1_65

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92573-4

  • Online ISBN: 978-3-030-92574-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation