文章基本信息

标题：Implementation of Taguchi method with hybrid decision making tools for prediction of surface characteristics for powder-mixed EDM of WC
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作者：Jagdeep Singh ; Jagdeep Singh ; Rajiv Kumar Sharma 等
期刊名称：Perspectives in Science
印刷版ISSN：2213-0209
电子版ISSN：2213-0209
出版年度：2016
卷号：8
页码：455-458
DOI：10.1016/j.pisc.2016.04.103
语种：English
出版社：Elsevier
摘要：Summary This paper aims to develop a method that optimize the multi-performance characteristics (MPCs), i.e. micro-hardness (μ-H) and surface roughness (SR) for the powder mixed electrical discharge machining (PMEDM) of Tungsten Carbide (WC-Co) alloy. Initially, authors successfully achieved the optimal parameter selection for PM-EDM of WC alloy by using grey relational analysis (Sharma and Singh, 2014a). There is a still chance of presence of uncertainty/fuzziness in GRA results as it has “higher-the-better” and “lower-the-better” characteristics. Therefore, authors established the grey-fuzzy and grey-ANFIS approach to handle that uncertainty and discreteness present in the data, this study also shows the comparison between these methods. Theoretical prediction of grey-fuzzy approach shows that the proposed approaches can prove useful for optimizing MPCs. It is observed that experiment no. 24 with pulse-on time, 100μs (A3); pulse-off, 50μs (B2); current, 9Å (C3) and powder, C (D1) factor combination provides best MPC'S amongst 27 experiments. This study shows that the use of graphite powder is found to be more suitable for improvement in surface characteristics of WC-Co. Results shows that pulse-on time is the dominating factor comparative to others factors which affect the study.
关键词：Electrical discharge machining; Surface roughness; Micro-hardness; Fuzzy and ANFIS;