Process Optimization of Wire Electrical Discharge Machining - A Review

Optimizing machine parameters for Wire Electrical Discharge Machining

Abstract

Wire Electrical Discharge Machining (WEDM) is widely used in industry for the macro and micro-machining of parts with complex and irregular shapes, requiring high profile accuracy and tight dimensional tolerances. As WEDM process is not affected by material hardness, compared to traditional machining technologies, it can be effectively used to machine a large variety of materials including cemented carbides, sintered materials as well as difficult to machine aerospace alloys such as Nickel or Titanium alloys. Response Surface Methodology (RSM) approach and Taguchi`s method are the procedure for determining the relationship between various process parameters with the different machining criteria and exploring the effect of these process parameters on the coupled responses. An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as brain processes information. This study provides a review on optimization of machine parameters by different techniques.