Grey Relational Optimization of Powder Mixed Near-Dry Wire Cut Electrical Discharge Machining of Inconel 718 Alloy Myilsamy Sureshkumar*, Boopathi S** *Assistant Professor, Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. Sureshkumarm@bitsathy.ac.in **Associate Professor, Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. boopathis@bitsathy.ac.in Online published on 23 March, 2017. Abstract Wire cut electrical discharge machining is the supreme non-conventional machining process to cut the hard materials like Inconel and Titanium alloys. In this research the dielectric used as silicon powder which is mixed with minimum quantity Liquid(MQL) of deionized water and compressed air. The molybdenum wire used as a tool material and Inconel 718 used as a workpiece material. The various process parameters pulse on time, pulse off time, current, and voltage are input parameters and evaluated. The surface roughness and Material Removal Rate are the main index of the machining process. Experiments have been conducted using powder mixed near dry (Air-mist) as the dielectric medium. Grey relational analysis of optimization technique is used to identify the influencing process parameters. The main aim is to investigate the powder particles in near dry dielectric medium and machining process. The addition of the powder particles in the near dry dielectric medium modifies the performance of machine which increases surface finish. In this experimentation the powder mixed near dry wire EDM process machining time are also noted for Material Removal Rate. Top Keywords Powder, Particle size, Grey Relational, Near-dry WEDM, Optimization. Top |