IJSEA Volume 7 Issue 10

Optimization and Modeling of Electrical Discharge Machining Using Response Surface Methodology Part-I

Rania Ahmad Elrifai
10.7753/IJSEA0710.1012
keywords : Electrical Discharge Machining (EDM); Response Surface Methodology (RSM); ANOVA; Material Removal Rate.

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To improve and optimize the response of Electrical Discharge Machining process, the various input machining control parameters are to be set at an optimal value. As FW4 is a newly developed hot die material widely used in Forging Dies manufacturing. The optimal selection of the machining conditions is one of the most important aspects to be taken into consideration in the Electrical Discharge Machining (EDM) of FW4. In this paper, an attempt has been to develop and optimize mathematical model of relating Material Removal Rate (MRR) and the machining parameters (current, pulse -on time, voltage). Experiments are designed and the correlating the desired response and the control parameters are established using Response Surface Methodology (RSM), finally (RSM) is applied to search the optimal parametric values for the optimal response. Using RSM, maximum Material Removal Rate obtained is 30.5541mm³/min which is 0.3641less in magnitude than experimentally measured value, Thus, the result proves RSM to be optimization technique which can be used to optimize Electrical Discharge Machining Processes.
@artical{r7102018ijsea07101012,
Title = "Optimization and Modeling of Electrical Discharge Machining Using Response Surface Methodology Part-I",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "7",
Issue ="10",
Pages ="331 - 410",
Year = "2018",
Authors ="Rania Ahmad Elrifai"}