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Optimization of Process Parameters for improving performance in electrical discharge machining

Author(s):

Viral B. Prajapati , S.P.B. Patel Engineering college, linch, mehsana ; H.G. Rajput, S.P.B. Patel Engineering college, linch, mehsana ; Jitendra J. Thakkar, S.P.B. Patel Engineering college, linch, mehsana ; Sachin P. Patel, S.P.B. Patel Engineering college, linch, mehsana

Keywords:

EDM machine, Full Factorial method, ANOVA Analysis, Minitab@16 software, Genetic algorithm, MATLAB R2010a, Surface Roughness, Material Removal Rate.

Abstract

The correct selection of manufacturing condition is one of the most important aspects to take into consideration in the majority of manufacturing processes and, particularly, in processes related to Electrical Discharge Machining (EDM). It is a capable of machining geometrically complex or hard material components. From the point of view of industrial applications, SS 410 is a very important material and that’s why for the purpose of experimentation SS 410 with copper electrode and EDM oil as dielectric fluid has been used. In this present work various input parameters are selected such as discharge current, pulse on time and pulse off time. The experiment was done using PRESS-MACH EDM machine. Three level approach of full factorial design of experiment was applied to design the experimental and the data was analyzed by using analysis of variance (ANOVA). It is found that discharge current and pulse on time was the most significant factor affecting the SR and discharge current was the most significant factor affecting the MRR. Genetic algorithm is used for finding out the optimal condition for surface roughness and material removal rate for EDM.

Other Details

Paper ID: IJSRDV2I4003
Published in: Volume : 2, Issue : 4
Publication Date: 01/07/2014
Page(s): 12-16

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