Optimization of Recast Layer Thickness and Surface Roughness in the Wire EDM Process of AISI H13 Tool Steel Using Taguchi and Fuzzy Logic

Abstract:

In this study, the optimization of recast layer thickness and surface roughness (SR) simultaneously in a Wire-EDM process by using Taguchi method with fuzzy logic has been applied. The Wire-EDM process parameters (arc on time, on time, open voltage, off time and servo voltage) were optimized with considerations of multiple performance characteristics, i.e., recast layer thickness 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.

• Periodical: Applied Mechanics and Materials (Volume 493)
• Pages: 529-534
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.493.529
• Online since: January 2014
• Authors: Pathya Rupajati, Bobby Oedy Pramoedyo Soepangkat, Bambang Pramujati, Helena C. Kis Agustin
• Keywords: AISI H13, Fuzzy Logics, Recast Layer Thickness, Surface Roughness (SR), Taguchi, Wire EDM

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