Effects of Input Parameters on Electrode Wear Rate when EDM Cylindrical Shaped Parts

Abstract:

In electrical discharge machining (EDM) process, the selection of suitable EDM factors plays an important role since this can achieve the growing need for quality, minimizing manufacturing cost and time, and reducing electrode wear rate. This paper presents the effect of input factors on electrode wear rate (EWR) when machining cylindrical shaped parts made from 90CrSi steel and an optimization of these parameters. The input EDM parameters include the pulse on time, the pulse off time, the current, and the spark gap voltage. The Taguchi method with L27 was used for designing the experiment to gather data. Based on statistical analysis of experiment data, the impact of the input factors on the EWR was investigated. Moreover, the optimal input parameters were found by evaluating the S/N ratio in order to minimizing the EWR. This brings the significance in minimum surface roughness and high accuracy of machining elements.

• Periodical: Materials Science Forum (Volume 1018)
• Pages: 79-83
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.1018.79
• Online since: January 2021
• Authors: Tran Thi Hong, Nguyen Van Cuong, Bui Thanh Danh, Nguyen Hong Linh, Le Hong Ky, Nguyen Thi Thanh Nga, Do Thi Tam, Vu Ngoc Pi*
• Keywords: Cylindrical Shaped Part, EDM, EDM Sinking, Electrode Wear Rate, Taguchi Method

References

[1] Abu Qudeiri, J.E., et al., Advanced electric discharge machining of stainless steels: Assessment of the state of the art, gaps and future prospect. Materials, 2019. 12(6): p.907.

DOI: 10.3390/ma12060907

[2] Roy, T. and R.K. Dutta, Integrated fuzzy AHP and fuzzy TOPSIS methods for multi-objective optimization of electro discharge machining process. Soft Computing, 2019. 23(13): pp.5053-5063.

DOI: 10.1007/s00500-018-3173-2

[3] Malhotra, P., et al., Experimental investigation and effects of process parameters on EDM of Al7075/SiC composite reinforced with magnesium particles. Materials Today: Proceedings, (2019).

DOI: 10.1016/j.matpr.2019.11.069

[4] Singh, N.K., et al., Predictive analysis of surface roughness in EDM using semi-empirical, ANN and ANFIS techniques: A comparative study. Materials Today: Proceedings, (2019).

DOI: 10.1016/j.matpr.2019.08.234

[5] Mazarbhuiya, R.M., et al., Surface modification of CFRP composite using reverse-EDM method. Surfaces and Interfaces, 2020: p.100457.

DOI: 10.1016/j.surfin.2020.100457

[6] Le Xuan Hung, T.T.H. and V.N. Pi, A Study on Modelling Surface Finish in Electrical Discharge Machining Tablet Shape Punches Using Response Surface Methodology. Journal of Environmental Science and Engineering B, 2017. 6: pp.387-390.

DOI: 10.17265/2162-5263/2017.07.006

[7] Hoang, T.T., et al., Modelling Surface Finish in Electrical Discharge Machining Tablet Shape Punches using Response Surface Methodology. SSRG International Journal of Mechanical Engineering 2017. 4: pp.28-30.

DOI: 10.14445/23488360/ijme-v4i9p106

[8] Huo, J., et al., Influence of process factors on surface measures on electrical discharge machined stainless steel using TOPSIS. Materials Research Express, 2019. 6(8): p.086507.

DOI: 10.1088/2053-1591/ab1ae0

[9] Laxminarayana, P., Optimization of electrode tool wear in micro holes machining by die sinker EDM using Taguchi approach. Materials today: proceedings, 2018. 5(1): pp.1824-1831.

DOI: 10.1016/j.matpr.2017.11.281