Data mining and Taguchi method combination applied to the selection of discharge factors and the best interactive factor combination under multiple quality properties

摘要

This research uses data mining to effectively analyze and confirm that the factors affecting discharge for electrical discharge machining (EDM) are, pulse-on time, pulse-off time, open discharge voltage, or interval voltage. The Taguchi method is used to experiment with electrodes of the same size and different shapes, based on key factors acquired under the consideration of the interaction between factors, and analyze the experimental results respectively with average values and S/N ratio. Eventually, the research will determine and calculate the best combination of factors of each quality property (machining and reaming amount, surface roughness, electrode corner loss, and material removal rate (MRR)) by analyzing predicated values and prove it with experimental data. The experiment proves that the interaction between factors really exists and that the best combination of factors acquired has favorable effects and credibility.