Development of Grey-ANFIS Model for Wire Electrical Discharge Machining of Al-GNP Composites

Abstract

Advanced methods of material removal have been developed for accomplishing the complications in traditional methods of machining and appealed to be a suitable alternatives for conventional machining processes. Wire Electrical Discharge Machining (WEDM) is the variant of Electrical Discharge Machining concept and one among the available method of advanced machining which has especially employed for machining of complicated shapes in harder materials. Apart from these machining methods adopted, the predictive models or intelligent decision making tools which will be helpful to the manufactures for attaining benefits in various applications. Aluminium is one of cheapest and most commonly employed engineering materials that are used for numerous applications. For enhancing the properties of aforementioned material, it is accomplished with the addition of reinforcement element. This present study is discussing about the investigation and development of hybrid ANFIS model for WEDM process. The experiments are planned and analyzed by Taguchi’s approach. Grey Relational Analysis (GRA) is employed for attaining Grey Relational Grade (GRG) by estimating the Grey Relational Coefficient (GRC) values. An ANFIS predictive model has been proposed to predict the GRG values. The model has been developed with the combination of Grey system theory. The performance of developed model has been analyzed with the predicted values.