Multi Response Optimization of Electro Discharge Machining of Ti-4V-6Al Alloy Using Taguchi based Grey Relational Analysis

Abstract

In this paper, Taguchi Methodology with Grey Rational Analysis (GRA) is proposed to investigate multi response optimization of performance characteristics of Electro Discharge Machining (EDM) on Ti-4V-6Al alloy. This alloy is used for mold making, defense, bio medical, aerospace, nuclear, marine applications, especially in environments where corrosion have impact. All experiments are planned based on Taguchi’s Orthogonal Array (OA) with five input machining variables such as diameter of the tool (D), current (I), pulse-on time (T_on), voltage (V), and Duty Factor (DF). Performance measures like MetalRemoval Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (SR) are considered in this investigation. For the required outcome, the diameter of the tool, peak current, duty factor are the influential variables in order followed voltage and pulse-on time.Multiple regression models are developed to predict the required performance measures. A confirmation test is conducted to check the validity of the multi regression model obtained by Grey Relational Analysis approach and avowed that there is little error with significant improvement with the proposed approach.