Machinability Analysis and Optimization by the Taguchi-gra-pca Approach of PMEDM Process Parameters of Monel K 500

Pp: 19-34 (16)

* (Excluding Mailing and Handling)

Abstract

Powder mixed electrical discharge machining (PMEDM) is applied for machining complex parts that cannot be machined by conventional machining processes. In this work, the optimization of PMEDM process parameters for Monel K 500 was performed, and its impact was analysed. PMEDM experiments were planned using the L’9 orthogonal array with pulse-on-time, pulse-off-time, and current as input parameters. The output parameters were material removal rate (MRR), tool wear rate (TWR), and surface roughness. Using a combination of principal component analysis (PCA) and grey relational analysis (GRA), the outcome was optimized. The analysis of variance was used to analyze the impact of input parameters over the output parameters. Finally, confirmation tests were performed to confirm the optimized output values of the machining process.

Keywords: Analysis of Variance, Current, Eigen Values, Eigen Vectors, Electric Discharge, Grey Relational Analysis, Machining, Machining Time, Monel K 500, Principal Component Analysis, Pulse-Machining Process, Pulse-off-current, Pulse-on-current, Signal-to-Noise Ratio, Significant, Surface Roughness, Taguchi, Tool Wear Rate, Voltage.