Optimization of multiple performance characteristics in the wire EDM process of AISI D2 tool steel using Taguchi and fuzzy logic

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Bobby O.P. Soepangkat, Bambang Pramujati, Nuraini Lusi

2013 Advanced Materials Research Vol. 789 Conference paper Cited by 7

Abstract

In this study, the optimization of material removal rate (MRR) and surface roughness (SR) simultaneously in a WEDM process by using Taguchi method with fuzzy logic has been applied. The Wire EDM process parameters (flushing pressure, on time, open voltage, off time and servo voltage) were optimized with considerations of multiple performance characteristics, i.e., MRR and SR. Based on the Taguchi method, an L18 mixed-orthogonal array table was chosen for the experiments. Fuzzy reasoning of the multiple performance characteristics has been developed based on fuzzy logic, which then converted into a fuzzy reasoning grade or FRG. As a result, the optimization of complicated multiple performance characteristics was transformed into the optimization of single response performance index. Experimental results have shown that machining performance characteristics of Wire EDM process can be improved effectively through the combination of Taguchi method and fuzzy logic. © (2013) Trans Tech Publications, Switzerland.

Affiliations

Mech. Eng. Dept, Institut Teknologi Sepuluh Nopember (ITS), Surabaya 60111, Indonesia; Mech. Eng. Dept, Universitas Negeri Malang (UM), Malang 65145, Indonesia