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

Document Type : Original Article

Authors

1 Mechanical Engineering Department, Higher Technological Institute (HTI), 10th of Ramadan city, Egypt.

2 bDepartment of Mechanical Engineering, Faculty of Engineering, Al-Azhar University, Abaseia, Cairo, Egypt.

3 Mechanical Engineering Department, Faculty of Industrial Education, Suez Chanal University, Suez, Egypt

4 CNC 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