2014 : Multiple performance optimization in the wire EDM process of SKD61 tool steel using Taguchi grey relational analysis and fuzzy logic

Ir. Bobby Oedy Pramoedyo S. MSc., Ph.D.
Dr. Ir. Helena Carolina Kis Agustin DEA
Bambang Pramujati ST, MSc.Eng, Ph.D


Article PreviewArticle PreviewThis paper propose the optimization of the wire electrical discharge machining (WEDM) process of SKD61 tool steel (AISI H13). The use of the Taguchi method combined with grey relational analysis and fuzzy logic has been applied for optimization of multiple quality characteristics. The WEDM machining parameters (arc on time, on time, open voltage, off time and servo voltage) were optimized with considerations of multiple performance characteristics, ie, MRR, SR and kerf. Arc on time was set at two different levels while the other four were set at three different levels. Based on Taguchi method, an L 18 mixed-orthogonal array was chosen for the experiments. Experimental results have shown that machining performance characteristics of WEDM process can be improved effectively through the combination of Taguchi method and grey-fuzzy logic.