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

• Published in: Applied Mechanics and Materials Vol. 493; no. Advances in Applied Mechanics and Materials; pp. 529 - 534
• Main Authors: Rupajati, Pathya, Soepangkat, Bobby Oedy Pramoedyo, Pramujati, Bambang, Agustin, Helena C. Kis
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.01.2014
• Subjects: Electric potential; Fuzzy logic; Optimization; Surface roughness; Tables (data); Taguchi methods; Voltage; Wire; Wire EDM; Surface Roughness (SR); AISI H13; Taguchi; Fuzzy Logics; Recast Layer Thickness
• ISBN: 9783037859902; 3037859903
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.493.529

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.