Abstract
Multi/Multiple-criteria decision-making methods or multiple-criteria decision analysis (MCDA) have a useful contribution to determine the optimal or the best experimental condition for a process. One of the objectives of the presented research is the observation of the effects of the electrical parameters on the material removal rate (MRR) and the electrode wear ratio (EWR) in a meso-scale EDD. The examined electrical parameters are pulse-on/off time, duty cycle/factor and capacitance. Machining results have been investigated by analysis of variance and graphically depending on their main effects. While pulse-on time and duty cycle have statistically significant effect on MRR, pulse-on time, capacitance and duty cycle have significant effect on EWR for the EDD processes. VIKOR, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and GRA (Grey Relation Analysis) were used as MCDM methods to determine the optimum machining result in terms of maximum MRR and minimum EWR. MCDM results have been monitored by graphically. Since an inconsistency has been seen between the MCDM results, a second supplementary analysis has been done by Weighted of Sum and Weighted of Product methods. By this way, a better consistency has been provided. Consequentially, it has been seen that the results of the second modifier analysis and the results of VIKOR were closer to each other in terms of specifying the optimal condition for the process. Hole formations were also observed by scanning electron microscopy images in this work. As a result, it has been decided that the minimum pulse-on time and pulse off-time with 50% duty cycle and minimum capacitance inputs gives an optimum output for MRR and EWR in the meso-scale EDD process.
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