Development of Regression model and Optimization of Process Parameters for Wire Electrical Discharge of SAE 1010 Steel using Taguchi Grey Approach
N. Manikandan, P Thejasree, D. Reddy, Peyyala Pramod Kumar
Abstract
Abstract SAE 1010 is a predominant material that possesses exceptional qualities that make it highly suitable for automotive applications, especially for use in headed fasteners and bolts. Its primary usage is in the automotive industry, although it also exhibits significant potential in various other technical domains. Various challenges in conventional machining have been resolved by adopting alternative methodologies that entail the elimination of material. Wire electrical discharge machining (WEDM) is one of the advanced machining techniques. The primary objective of this study is to propose a Taguchi-based grey technique for optimizing multiple performance indicators in the Wire Electrical Discharge Machining (WEDM) process of SAE 1010 material. A regression model has been constructed to examine the correlation between the two sets of data. The experimental design employs Taguchi’s method, with the independent variables being the status of the pulse (on/off) and the magnitude of the applied current. Material removal rate, surface roughness, dimensional variation, and form/orientation tolerance errors are considered as performance measures in this investigation and these are optimized by Taguchi-Grey approach. Performing an effective investigation on developing systems assists in enhancing the efficiency and effectiveness of manufacturing processes.