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.