Applications of Taguchi-Based Grey Approach for Optimization of Wire Electrical Discharge Machining of 7075 Aluminum Alloy

The mechanical properties of the AA 7075 alloy, including its enhanced ductility, exceptional corrosion resistance, and reduced fatigue, are widely familiar. It is most commonly engaged in aeronautical applications and is a robust choice for frequent other engineering applications. Various complex machining issues have been successfully resolved through the utilization of non-traditional methodologies for the purpose of removal of materials. Wire Electrical Discharge Machining (WEDM) is one amidst the advanced machining approach. The primary aim of this research study is to present a Taguchi-based grey technique that may be effectively employed to optimize of several output measures during WEDM of AA7075. A regression model has been developed to examine the relationship amongst the input and output variables. The application of Taguchi's design technique has been employed in the experimental design, utilizing length of pulse and applied current as input variables. The performance metrics of the process are evaluated with consideration to many parameters, such as material removal rate, surface roughness, dimensional deviation, and form/orientation tolerance errors. The significance of process variables has been identified with the assist of Analysis of Variance (ANOVA). Subsequently, an analysis is done on the performance characteristics of the WEDM, specifically focusing on the influence of different variables including material removal rate, surface roughness, and orientation tolerance errors. The utilization of the Taguchi-Grey technique is employed in order to optimize numerous performance measures. The performance investigation offers empirical evidence regarding the effectiveness of evolved systems, so helping producers to make educated and efficient decisions.