Investigation of the Effect of Nano Powder Mixed Dielectric on EDM Process | ||
| Engineering and Technology Journal | ||
| Article 2, Volume 38, 3A, March 2020, Pages 295-307 PDF (494.39 K) | ||
| DOI: 10.30684/etj.v38i3A.337 | ||
| Author | ||
| Rasha R. Elias* | ||
| Dept. of Production Engineering and Metallurgy, University of Technology, Baghdad, Iraq. 70166@uotechnology.edu.iq | ||
| Abstract | ||
| In this paper, Artificial Neural Network was adopted to predict the effect of current, the concentration of aluminum oxide (Al2O3) and graphite Nanopowders in dielectric fluid for the machining of Carbon steel 304 using Electrical Discharge Machining (EDM). The process variables were utilized to find their effect on Material Removal Rate (MRR), Surface Roughness (SR), and Tool Wear Rate (TWR). It was revealed from the experimental work that the addition of aluminum oxide and graphite Nanopowders into dielectric fluid maximizing MRR, minimized the SR and TWR at various variables. Minitab software was used in the design of experiments. Analysis of the process outputs of EDM indicates that graphite powder concentration greatly influencing SR also the discharge current whereas the current and Nanopowders concentration has more percentage of influence on the TWR and MRR. | ||
| Keywords | ||
| artificial neural network; Electrical discharge machining; Metal removal rate; Minitab software; Nano powder | ||
| References | ||
|
[1] S. Padhef, N. Nayak, S. K. Pandn, P. R. Dhal and S. S. Mahapatra, “Multi-objective parametric optimization of powder mixed electro-discharge machining using response surface methodology and non-dominated sorting genetic algorithm,” Indian Academy of Sciences, Vol. 37, Part 2, pp. 223–240, April, 2012.
[2] N. A. J. Hosni and M. A. Lajis “The influence of span-20 surfactant and micro-/nano- chromium (Cr) powder mixed electrical discharge machining (PMEDM) on the surface characteristics of AISI D2 hardened steel,” IOP Conf. Series: Materials Science and Engineering 342, 2018.
[3] K. Karunakaran and M. Chandrasekaran, “Experimental Investigation Nano Particles Influence in NPMEDM to Machine Inconel 800 with Electrolyte Copper Electrode,” IOP Conf. Series: Materials Science and Engineering 197, 012068, 2017.
[4] D. Rana, A. Kr. Pal and P. Tiwari, “Study of powder mixed dielectric in EDM-A review,” International Journal of Engineering Science and advanced Research , Vol. 1, Issue 2, pp. 69-74, June, 2015.
[5] K. H. Tseng, J. L. Chiu, H. L. Lee, C. Y. Liao, H. S. Lin, and Y. S. Kao1,”Preparation of Ag/Cu/Ti nanofluids by spark discharge system and its control parameters study,” Advances in Materials Science and Engineering, Article ID 694672, 2015.
[6] M. R. Abdul Razak, P. J. Liew, N. I. S. Hussein, Q. Ahsan and J. Yan, “Effect of surfactant and additives on electrical discharge machining of reaction bonded silicon carbide,” ARPN Journal of Engineering and Applied Sciences, Vol. 12, No. 14, July, 2017.
[7] R Boopathi, R Thanigaivelan and M Prabu, “Effects of process parameters on MRR, EWR and Ra in nanoparticles mixed EDM,” Research & Development in Material Science, 2018.
[8] H. Oktem, T. Erzurumlu and F. Erzincanli, “Prediction of minimum surface roughness in end milling mold parts using neural network and genetic algorithm,” Materials and Design, vol. 27, pp.735–744, 2006.
[9] B. Ozcelik, H. Oktem and H. Kurtaran,” Optimum surface roughness in end milling inconel 718 by coupling neural network model and genetic algorithm,” Int J Adv Manuf Technol, vol. 27, pp. 234–241, 2005. | ||
|
Statistics Article View: 303 PDF Download: 244 |
||