Skip to main content
Log in

A strategy to improve performance in electrochemical discharge machining using periodic bi-directional tool rotation

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Increasing machining depth has imposed challenges to machine high aspect ratio features in electrochemical discharge machining (ECDM) of hard and brittle materials like borosilicate glass. As depth of machining (DOM) progresses, the machining is slowed due to insufficient availability of electrolyte at the tool tip. The stagnated electrolyte at the entrance of the hole causes increased radial overcut (ROC), heat-affected zone (HAZ), and taper (TP) and also reduced material removal rate (MRR), DOM, and circularity (CR). To overcome these challenges, the present study implemented a novel strategy using periodic bi-directional tool rotation (PBTR) with tungsten carbide helical drill. Initially, a flow simulation with KOH electrolyte has been conducted using COMSOL multi-physics platform to understand effect of the tool rotation on machining characteristics for both unidirectional tool rotation (UTR) and PBTR. It is found from the simulation that the PBTR shows better electrolyte supply to the tool tip as compared to UTR. Experiments are conducted with experimental plan based on L16 array. Experimental results disclosed that PBTR has resulted an improvement in MRR, DOM, and circularity and a decrease in HAZ, ROC, and TP of the machined hole. Parametric optimization is carried out using teaching learning-based optimization (TLBO) algorithm to evaluate the optimum process parameters. Optimum values are confirmed with by the experimental results.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24

Similar content being viewed by others

Data availability

The authors confirm that the data supporting the findings of this study are available within the article.

References

  1. Kang X, Tang W, Zhao W, Qian J, Lauwers B (2021) Experimental and numerical investigations of material removal process in electrochemical discharge machining of glass in discharge regime. Prec Eng 72:706–716

    Article  Google Scholar 

  2. Singh T, Dvivedi A (2020) On prolongation of discharge regime during ECDM by titrated flow of electrolyte. Int J Adv Manuf Tech 107:1819–1834

    Article  Google Scholar 

  3. Ranganayakulu J, Srihari PV, Rao KV (2022) An optimization strategy to improve performance in electrochemical discharge machining of borosilicate glass using graph theory algorithm and desirability index. SILICON 14:5241–5254

    Article  Google Scholar 

  4. Xu Y, Jiang B (2021) Machining performance enhancement of deep micro drilling using electrochemical discharge machining under magnetohydrodynamic effect. Int J Adv Manuf Technol 113:883–892

    Article  Google Scholar 

  5. Ranganayakulu J, Srihari PV (2021) Investigations on the effect of helical tool diameter assisted with high speed rotation in electrochemical discharge machining. Int J Prec Tech 10(1):60–73

    Article  Google Scholar 

  6. Zhang Y, Wang C, Wang Y, Ji L, Tang J, Ni Q (2019) Effects of helical tube electrode structure on mixed machining product transfer in micro-machining channel during tube electrode high-speed electrochemical discharge machining. Micromachines 10(10):634

    Article  Google Scholar 

  7. Rajendra KK, Murali S (2018) Study of gas film characterization and its effect in electrochemical discharge machining. Prec Eng 53:203–211

    Article  Google Scholar 

  8. Mehrabi F, Farahnakian M, Elhami S, Razfar MR (2018) Application of electrolyte injection to the electro-chemical discharge machining (ECDM) on the optical glass. J Mater Proc Tech 255:665–672

    Article  Google Scholar 

  9. Zhao D, Zhu H, Zhang Z, Xu K, Jian Gao J, Xueren Dai X, Huang L (2022) Influence of electrochemical discharge machining parameters on machining quality of microstructure. Int J Adv Manuf Technol 119:841–854

    Article  Google Scholar 

  10. Ladeesh V, Manu R (2019) Grinding-aided electrochemical discharge drilling in the light of electrochemistry. Proc I MechE Part C: J Mech Eng Sci 233(6):1896–1909

    Article  Google Scholar 

  11. Chen JC, Lin YA, Kuo CL, Ho CC, Yau WH (2019) An Improvement in the quality of holes drilled in quartz glass by electrochemical discharge machining. Smart Sci 7(3):169–174

    Article  Google Scholar 

  12. Ho CC, Wu DS, Chen JC (2018) Flow-jet-assisted electrochemical discharge machining for quartz glass based on machine vision. Meas 128:71–83

    Article  Google Scholar 

  13. Singh T, Dvivedi A, Shanu A, Dixit P (2021) Experimental investigations of energy channelization behavior in ultrasonic assisted electrochemical discharge machining. J Mater Proc Tech 293:117084

    Article  Google Scholar 

  14. Elhami S, Razfar MR (2018) Effect of ultrasonic vibration on the single discharge of electrochemical discharge machining. Mat Manuf Proc 33(4):444–451

    Article  Google Scholar 

  15. Chak SK, Venkateswararao P (2008) The drilling of Al2O3 using a pulsed DC supply with a rotary abrasive electrode by the electrochemical discharge process. Int J Adv Manuf Technol 39:633–641

    Article  Google Scholar 

  16. International Standard, ISO 9276–6 (2008) (E), First edition, Representation of results of particle size analysis — Part 6: Descriptive and quantitative representation of particle shape and morphology, Switzerland

  17. Bhattacharyya B, Doloi BN, Sorkhel SK (1999) Experimental investigations into electrochemical discharge machining (ECDM) of non-conductive ceramic materials. J Mater Proc Tech 95(1–3):145–154

    Article  Google Scholar 

  18. Yang CT, Ho SS, Yan BH (2001) Micro hole machining of borosilicate glass through electrochemical discharge machining (ECDM). Key Eng Mater 196:149–166

    Article  Google Scholar 

  19. Wuthrich R, Spaelter U, Wu Y, Bleuler H (2006) A systematic characterisation method for gravity feed micro-hole drilling in glass with spark assisted chemical engraving (SACE). J Micromech Microeng 16:1891

    Article  Google Scholar 

  20. Gautam N, Jain VK (1998) Experimental investigations into ECSD process using various tool kinematics. Int J Mach Tools Manuf 38(1–2):15–27

    Article  Google Scholar 

  21. Venkatarao R (2015) teaching learning based optimization algorithm and its engineering application, 1st edn. Springer publishing company, 2nd chapter, ISBN: 978–3319227313

  22. Venkatarao R, Kalyankar VD (2013) Multi-pass turning process parameter optimization using teaching–learning-based optimization algorithm. Sci Iranica E 20(3):967–974

    Google Scholar 

  23. Tingli C, Minyou C, Peter JF, Yan Z, Gan S (2017) A novel hybrid teaching learning based multi-objective particle swarm optimization. Neuro Comp 222:11–25

    Google Scholar 

  24. Harishbabu B, Venkatarao K, Sathish BB (2021) Modeling and optimization of dead metal zone to reduce cutting forces in micro milling of hardened AISI D2 steel. J Brazilian Soc Mech Sci Eng 43:142

    Article  Google Scholar 

Download references

Funding

Authors received support from the Vision Group on Science & Technology, KSTePS, Department of IT, BT and S&T, Karnataka – 560 001, through KFIST Level (1) project under the VGST Scheme, No: KSTePS/VGST/GRD-678/KFIST(L1)/2018, 27.08.2018.

Author information

Authors and Affiliations

Authors

Contributions

Mr. Jinka Ranganayakulu and Dr. Podala Venkata Srihari have designed the experimental plan and carried out the experimentation. They also involved in analysis and preparation of manuscript. Dr. Kaki Venkata Rao have involved in analysis and optimization of process parameters.

Corresponding author

Correspondence to Kaki Venkata Rao.

Ethics declarations

Ethics approval

Not applicable.

Consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ranganayakulu, J., Srihari, P.V. & Rao, K.V. A strategy to improve performance in electrochemical discharge machining using periodic bi-directional tool rotation. Int J Adv Manuf Technol 123, 1459–1476 (2022). https://doi.org/10.1007/s00170-022-10227-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-022-10227-x

Keywords

Navigation