Zoalfakar, S., l-Batanony, I., Ghanem, M., Gharib, M. (2019). Multi-objective Optimization of Electrical Discharge Machining Process of Brass 35 Zn by Response Surface Methodology. test, 28(EIJEST, Vol. 28, 2019), 22-32. doi: 10.21608/eijest.2019.97298
S Zoalfakar; I l-Batanony; M Ghanem; M Gharib. "Multi-objective Optimization of Electrical Discharge Machining Process of Brass 35 Zn by Response Surface Methodology". test, 28, EIJEST, Vol. 28, 2019, 2019, 22-32. doi: 10.21608/eijest.2019.97298
Zoalfakar, S., l-Batanony, I., Ghanem, M., Gharib, M. (2019). 'Multi-objective Optimization of Electrical Discharge Machining Process of Brass 35 Zn by Response Surface Methodology', test, 28(EIJEST, Vol. 28, 2019), pp. 22-32. doi: 10.21608/eijest.2019.97298
Zoalfakar, S., l-Batanony, I., Ghanem, M., Gharib, M. Multi-objective Optimization of Electrical Discharge Machining Process of Brass 35 Zn by Response Surface Methodology. test, 2019; 28(EIJEST, Vol. 28, 2019): 22-32. doi: 10.21608/eijest.2019.97298

Multi-objective Optimization of Electrical Discharge Machining Process of Brass 35 Zn by Response Surface Methodology

The Egyptian International Journal of Engineering Sciences and Technology
Article 3, Volume 28, EIJEST, Vol. 28, 2019, July 2019, Pages 22-32    PDF (934.89 K)
Document Type: Original Article
DOI: 10.21608/eijest.2019.97298
Authors
S Zoalfakar1; I l-Batanony2; M Ghanem3; M Gharib4
1Mechanical Engineering Department, Higher Technological Institute (HTI), 10th of Ramadan city, Egypt.
2bDepartment of Mechanical Engineering, Faculty of Engineering, Al-Azhar University, Abaseia, Cairo, Egypt.
3Mechanical Engineering Department, Faculty of Industrial Education, Suez Chanal University, Suez, Egypt
4CNC Department, Technical Institute for Advanced Industries, Ministry of Military Production, Cairo, Egypt.
Abstract
In this paper, the impact on material removal rate (MRR), surface roughness (Ra),
machining time, and tool wear rate (TWR) with various input variables which are
peak current (IP), pulse on time (Ton), pulse off time (Toff), gap voltage (Vg), and
depth of cut during Electrical discharge machining (EDM) of brass 35 Zn was
investigated. The optimization values have been obtained for (Ra), (MRR),
(TWR),and machining time by utilizing the response surface methodology.
Additionally, the materials parameters reactions were investigated and the level of
significance of input parameters on the measured values was resolved utilizing the
analysis of variance (ANOVA) technique. The deliberate reactions were in a decent
concurrence with anticipated outcomes by utilizing the RSM method. Highregression
coefficients between the factors and responses (MRR), (Ra), (TWR) and
machining time R2=99%, 91.7%, 96.7% and 94.3% separately show a magnificent
assessment of empiricist data by the second-order polynomial abatement model
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