Concerning Drifts to Optimization Techniques of Wire-EDM Process for Titanium Based Super Alloys: A Review

Abstract

Abstract Machining of electrical conductive materials become easier with the innovation in wire electrical discharge machining involving different configuration of wire electrodes such as coated and uncoated. Specially, materials having high derivative properties such as hardness, temperature resistance and extreme strength-to-weight ratio, such as titanium, nickel and their alloys and super alloys discovered a mode to be machined properly as compared to traditional machining methods. The specialized functioning parts and complex geometries of the part at the micro level are now machined at an advantageous cost-effectiveness ratio. Most research in the field of WEDM has focused on optimization of different performance characteristics with alteration to input parameters through employment of techniques like Genetic algorithm, artificial neural network, Taguchi method and Response Surface Methodology. Since, Titanium and its alloys find most applications in the aerospace, automotive and nanotechnology fields, due to their excellent performance at high temperature and pressure, compared to other alloy materials. The article should narrate an overview of the optimizations techniques used by researchers during WEDM process to build optimum parametric setting between responses and inputs for improving machining efficiency and productivity.