Abstract
AbstractIn current manufacturing science and engineering application, material selection is an important criterion. Hybrid metal matrix composite (MMCs) has emerged as an important growing demand for manufacturing field like aerospace, automotive and electronic engineering due to its excellent mechanical, physical and thermal characteristics in comparison with convectional materials. The distinctive features of electrodischarge machining (EDM) and high exhaustiveness lead to improve the machining characteristics of MMCs. In this current research work, EDM technique has been applied in order to machine hybrid Al-7075 composite to obtain the high product quality and improve the performance level. The impetus of this research paper is to investigate the optimum parameters to reduce the machining time with high material removal rate (MRR), low surface roughness (SR), low tool wear rate (TWR) and frequency by varying the input parameters such as current, voltage and pulse-on time(Ton), pulse-off time (Toff) and arc gap. Several experimental runs are conducted by using L16 orthogonal array (OA), and prime parameters were predicted by ANOVA technique with effective parametric contributions. From the result, it is found that Grey–Taguchi method gave better optimization result with error percentage as compared to simple Taguchi method and also found current and voltage, Ton gave higher contribution in the time of machining in comparison with other parameters.KeywordsEDMMMCsMRRSRTWRTaguchiANOVAGrey–Taguchi
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