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Multi-Response Optimization of EDM Parameters by Grey-PCA Method

Author : Hargovind Soni , T. K. Mishra and M.K.Pradhan

Pages : 1941-1945
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This paper proposes a arrangement of Response Surface Methodology (RSM), Gray Relational Analysis (GRA) and Principal Component Analysis (PCA) used for optimizing the Electrical Discharge machining responses, such as material removal rate, surface roughness, and Radial overcut (ROC). The input parameters considered for this analysis are pulse current (Ip), discharge time (Ton), Duty cycle (Tau) to see the effect on the responses. The PCA is used to compute the weight of the responses during the optimization. Subsequently, the effects of each of these input parameters are analyzed and presented. These results provide the information that how to control the parameters so as to get the maximum MRR without losing the surface accuracy and tool accuracy. These values of this parameters are observed that Ip= 2A , Ton = 100 μs, and Tou = 80% are the desired optimal combination where the GRG value is maximum (0.771). which are the best combination of this analysis.

Keywords: Electrical discharge machining; EDM; Response surface methodology; RSM; Grey relational analysis; GRA; Principal component analysis; PCA; Material removal rate; MRR; Surface roughness; Ra. Radial overcut.

Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.5(Dec- 2013)






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