Experimental and Numerical Analysis of Angular Error in Taper Cutting Using Wire Electrical Discharge Machining

Abstract

Today, there are far greater demands for higher precision in machining, use fewer tools and ease of operation. Wire electro discharge machining (WEDM) is one, mostly acceptable non-conventional machining processes, using fewer tools; ease machining and producing extreme accurate shapes in hard materials those using in the tooling industry where the extreme precision is required and complexly determines such as extrusion dies in wear-resistant materials, cutting dies, etc. Wire EDM Taper cutting took forward the generation of inclined ruled surfaces, and it is eminently more important in the manufacturing of tooling requiring draft angles. The required angle is reached by applying a relative moment between the lower guide and the upper guide. Deformation arises in the wire, during the machining of taper cutting using Wire EDM. Due to that deformation in the wire, effected to the ruled inclination of machined parts. Such circumstances cause a dimensional error, loss of tolerances and less precision that can prime to the rejection of high added value tooling. To predict the deformation of wire by considering contact mechanics, properties of wire, properties of the guide, boundary conditions, typically used in taper cutting operations, has been taking into the account. FEM is needed to reduce the experimental cost and lack of time consumption and to give a more common approach to the problem. Finite Element Model (FEM) has been used to find out the deformation occurs during wire EDM process by changing the wire parameters like wire tension, wire diameter, taper angle and wire length, which is generally considering in taper cutting. This result intends to give you better understanding shows that taper angle and wire length are the most effective parameters in taper cutting process. Taguchi’s L16 orthogonal array is used to reduce the experimental runs. Traditional Taguchi approach is insufficient to solve a multi-response optimization problem. In order to overcome this limitation, utility theory has been implemented, to convert multi-responses into single equivalent response called overall utility index. Both the results, FEM and experimental have been checked.