MULTI-RESPONSE OPTIMIZATION OF THE ELECTRICAL DISCHARGE DRILLING OPERATION: A TRADE-OFF RELATION BETWEEN THE QUALITY AND EFFICIENCY

Tat Khoa Doan; An-Le Van; Trung-Thanh Nguyen

doi:10.5937/jaes0-46706

Tat Khoa Doan Faculty of Mechanical Engineering, Le Quy Don Technical University, Hanoi, Vietnam https://orcid.org/0000-0002-3023-5826
An-Le Van Faculty of Engineering and Technology, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam https://orcid.org/0000-0002-3592-8541
Trung-Thanh Nguyen Faculty of Mechanical Engineering, Le Quy Don Technical University, Hanoi, Vietnam

DOI: https://doi.org/10.5937/jaes0-46706

Keywords: EDD, extension, MRR, IQPSO, parameters

Abstract

In this work, the tool rotational speed (T), dielectric pressure (W), feed rate (F), and voltage (V) of the electrical discharge drilling (EDD) operation are optimized to decrease the extension of the drilled hole (EH) and improve the material removal rate (MRR). The Kriging models were utilized to present performance measures, while the Entropy approach and improved quantum-behaved particle swarm optimization algorithm (IQPSO) algorithm were employed to compute the weights and determine optimal factors. The findings presented that the optimal T, W, F, and V are 550 rpm, 36 kg/cm², 30 µm/s, and 70 V, respectively. The EH is reduced by 33.0%, while the MRR is enhanced by 39.4%, as compared to the common values. The Kriging models provided acceptable accuracy for the prediction purpose. The V and F had significant impacts on the EH and MRR. The optimal data could be utilized to enhance the performance measures for the practical EDD process. The method comprising the Kriging, Entropy, and IQPSO was a prominent solution to deal with complicated optimization issues for the EDD operation.

References

Dilip, D.G. et al. (2020). Characterization and Parametric Optimization of Micro-hole Surfaces in Micro-EDD Drilling on Inconel 718 Superalloy Using Genetic Algorithm. Arabian Journal for Science and Engineering, vol. 45, 5057–5074. DOI: 10.1007/s13369-019-04325-4

Ramaswamy, A., Perumal, A.V. (2020). Multi-objective optimization of drilling EDD process parameters of LM13 Al alloy–10ZrB2–5TiC hybrid composite using RSM. Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 42, 432. DOI: 10.1007/s40430-020-02518-9

Singh, A.K. et al. 2020). Experimental study on drilling micro-hole through micro-EDD and optimization of multiple performance characteristics. Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 42, 506. DOI: 10.1007/s40430-020-02595-w

Pragadish, N. et al. (2022). Optimization of cardanol oil dielectric-activated EDD process parameters in machining of silicon steel. Biomass Conv. Bioref. (2022). DOI: 10.1007/s13399-021-02268-1

Ravasio, C. et al. (2023). Development of CO2 efficiency index for evaluating sustainability of microelectrical discharge drilling process. Journal of Engineering Manufacture, vol. 237, 758-769. DOI: 10.1177/09544054221111903

Kumar, K. et al. (2019). EDD μ-drilling in Ti-6Al-7Nb: experimental investigation and optimization using NSGA-II. International Journal of Advanced Manufacturing Technology, vol. 104, 2727–2738 DOI: 10.1007/s00170-019-04012-6

Machno, M. (2020). Investigation of the Machinability of the Inconel 718 Superalloy during the Electrical Discharge Drilling Process. Materials, vol. 13, 3392. DOI: 10.3390/ma13153392

Ahmed, A. et al. (2020). Ultrafast drilling of Inconel 718 using hybrid EDD with different electrode materials. International Journal of Advanced Manufacturing Technology, vol. 106, 2281–2294. DOI: 10.1007/s00170-019-04769-w

Bozdana, A., Al-Kharkhi, N. (2018). Comparative Experimental and Numerical Investigation on Electrical Discharge Drilling of AISI 304 Using Circular and Elliptical Electrodes. Strojniški vestnik – Journal of Mechanical Engineering, vol. 64, 269-279. DOI: 10.5545/sv-jme.2017.4806

Pandey, A.K., Gautam, G.D. (2018). Grey relational analysis-based genetic algorithm optimization of electrical discharge drilling of Nimonic-90 superalloy. Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 40, 117. DOI: 10.1007/s40430-018-1045-4

Suresh, K. et al. (2022). Effect of Silane Treated Wheat Husk Biosilica (WHB) Deionized Water Dielectric on EDD Drilling of Ti-6Al-4 V Alloy. Silicon, vol. 14, 9143–9151. DOI: 10.1007/s12633-021-01526-1

Pandey, G.K., Yadav, S.K.S. (2022). Experimental investigation of vibration assisted electrical discharge drilling of Al-Tib2. International Journal on Interactive Design and Manufacturing. DOI: 10.1007/s12008-022-01002-z

Wang, J. et al. (2023). Stage identification and process optimization for fast drilling EDD of film cooling holes using KBSI method. Advances in Manufacturing. DOI: 10.1007/s40436-022-00434-w

Pattanayak, S. et al. (2022). CFRP composite drilling through electrical discharge machining using aluminum as fixture plate. Journal of Mechanical Engineering Science, vol. 236, 5468-5483. DOI:10.1177/09544062211058675

Tanjilul, M. et al. (2021). Super dielectric based edd process for drilling of inconel 718. Materials and Manufacturing Processes, vol. 36, 341-350. DOI: 10.1080/10426914.2020.1832682

Piyush, P., Pushpendra S.B. (2023). Experimental Investigation on Micro-Electrical Discharge Machining process for heat treated Nickel-based Nimonic 80A. Materials and Manufacturing Processes, 2023, vol. 38, 1-12. DOI: 10.1080/10426914.2022.2105889

Wang, J. et al. (2021). Path optimization for multi-axis EDD drilling of combustor liner cooling holes using SCGA algorithm. Computers & Industrial Engineering, vol. 157, 107319. DOI: 10.1016/j.cie.2021.107319

Parsana, S. et al. (2018). Machining parameter optimization for EDD machining of Mg–RE–Zn–Zr alloy using multi-objective Passing Vehicle Search algorithm. Archives of Civil and Mechanical Engineering, vol. 18, 799–817. DOI:10.1016/j.acme.2017.12.007

Mohanty, Chinmaya P. et al. (2016). A particle swarm approach for multi-objective optimization of electrical discharge machining process. Journal of Intelligent Manufacturing, vol. 27, 1171–1190. DOI:10.1007/s10845-014-0942-3

D’Urso, G. et al. (2015). Investigation on power discharge in micro-EDD stainless steel drilling using different electrodes. Journal of Mechanical Science and Technology, vol. 29, 4341–4349. DOI: 10.1007/s12206-015-0932-1

Jacob, K.S., Samuel, G.L. (2021). Effect of micro double helical grooved tools on performance of electric discharge drilling of Ti-6Al-4V. Journal of Engineering Manufacture, vol. 235, 1832-1847. DOI:10.1177/0954405421995605

Duy, Đ.V., Quang, V.D. (2022). A mathematical model for thinning rate prediction of sheet double hydro-forming. Journal of Applied Engineering Science, Vol. 20, 987-999. DOI: 10.5937/jaes0-35082

Nabila, D. et al. (2023). Experimental based determination and analysis of mechanical properties of aa 3003 alloy welded with friction stir lap welding process. Journal of Applied Engineering Science, Vol. 21, 451-461. DOI: 10.5937/jaes0-40245