Parametric Analysis of Surface Roughness and Metal Removal Rate during Electrical Discharge Machining of O1 Tool Steel
Main Article Content
Abstract
This work studies the impact of input machining parameters of Electrical Discharge Machining (EDM) on the machining process performance. Tool steel O1 was selected as the workpiece material, copper as the electrode material, and kerosene as the dielectric medium. Experimental runs have been carried out with a Design of Experiment (DOE) technique. Twenty tests are accomplished with the current range of (18 to 24 Ampere), a pulse duration range of (150 to 200 µs), and a pulse-off time range of (25 to 75 µs). Based upon the experimental study's output results, the EDM parameter's effect (voltage of power supply, discharge current, pulse duration, and pulse pause interval) on the responses of the process represented by surface roughness value Ra and Metal Removal MR rate. The results obtained by the DOE approach are analyzed by STATISTICA software. It has been concluded that an increase in the current and pulse duration maximizes both metal removal rate and surface roughness. At the same time, they are minimized by maximizing the pulse pause interval.
Article received: 28/08/2022
Article accepted: 03/10/2022
Article published: 01/05/2023
Article Details
How to Cite
Publication Dates
References
Abu Qudeiri. J.E., Aiman Z., Abdel-Hamid, I.M., Mustufa H.A., and Elkaseer, A., 2020. Principles and characteristics of different EDM processes in machining tool and die steels. Appl. Sci. 2020, 10(6), P. 2082. doi:10.3390/app10062082.
Aghdeab, S.H., Abdulwahhab, A.B., and Mohsein, Z.H., 2023. Investigation study of electrical discharge machining parameters on material removal rate for AISI M2 material. Al-Qadisiyah Journal for Engineering Sciences, 16(1), pp. 42–46. doi: 10.30772/qjes.v16i1.832
Al-Khazraji, A., Amin, S.A., and Ali, S.M., 2016. Effect of electrical discharge machining and shot blast peening parameters on fatigue life of AISI D2 die steel. Journal of Engineering, 22(11), pp. 111-135. doi:10.31026/j.eng.2016.11.08
Castillo, H.I., López, O.S., Lancho-Romero, G.A., and Castañeda, C., 2018. An experimental study of surface roughness in electrical discharge machining of AISI 304 stainless steel. IngenIería e InvestIgacIón, 38(2), pp. 90-96. doi:10.15446/ing.investig.v38n2.67711
Guleryuza, L.F., Ozana, S., Kasmanb, S., and Ipek, R., 2012. The influence of process parameters of EDM on the surface roughness of aluminum matrix composites reinforced with sic particulates. Proceedings of the 2nd International Congress APMAS2012, April 26-29, 2012, Acta Physica Polonica Series a, 123(2), pp. 421-423. doi:10.12693/APhysPolA.123.421
Mousa, S.M., 2018. Regression Modeling of EDM Process for AISI D2 Tool Steel with RSM. Journal of Engineering, 24(1), pp. 192-206.
Rao, Ch.M., and Kambagowni, V., 2016. Effect and optimization of EDM process parameters on surface roughness for En41steel. International Journal of Hybrid Information Technology, 9(5), pp. 343-358. doi:10.14257/ijhit.2016.9.5.29
Świercz, R., Świercz, D.O., Dąbrowski, L., and Zawora,J., 2018. Optimization of Machining Parameters of Electrical Discharge Machining Tool Steel 1.2713. AIP Conference Proceedings 2017, P. 020020. doi:10.1063/1.5056295
Tomadi, S.H., Hassan, M.A., Hamedon, Z., Daud, R., and A.G.Khalid, A.G.,2009. Analysis of the Influence of EDM Parameters on Surface Quality, Material Removal Rate and Electrode Wear of Tungsten Carbide. Proceedings of the International MultiConference of Engineers and Computer Scientists 2009 Vol II IMECS 2009, March 18 - 20, 2009, Hong Kong.