www.tjprc.org SCOPUS Indexed Journal editor@tjprc.org EDM PARAMETERS OPTIMIZATION ON TOOL WEAR RATE USING ADVANCED OPTIMIZATION OF TITANIUM ALLOY NEERAJ AGARWAL 1 , NITIN SHRIVASTAVA 2 & M. K. PRADHAN 3 1,2 University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India 3 Maulana Azad National Institute of Technology, Bhopal, India ABSTRACT Electrical Discharge Machining (EDM) is the most popular unconventional machining processes (UMP) in modern industries. EDM requires a low initial investment and used to machine difficult-to-cut and to machine complex shapes. There is sparking takes place between workpiece and tool, and the machined surface has an exact replica of tools. Due to sparking, material is removed from workpiece and some material is also removed from the tool surface, thus resulting distortion of the tool there. This further leads to affect the quality of machined surface, hence it is required to minimize tool wear rate (TWR). This paper is based on parameter optimization to minimized TWR. Thirty experiments were carried out as per the design of experiments using response surface methodology, within the selected range of various input variables. The regression model is developed for TWR. An advanced optimization Jaya Algorithm used to optimize TWR model. A predictable ANN model is also developed to validate the optimum result. KEYWORDS: Electrical Discharge Machining, Jaya Algorithm, Advanced Optimization & TWR Received: May 11, 2019; Accepted: May 31, 2019; Published: Jul 11, 2019; Paper Id.: IJMPERDAUG201985 1. INTRODUCTION Nowadays, with the advancement of technology, there is a need for machine, very hard material which is very difficult (sometimes not possible) to a machine with the conventional machining process. Unconventional machining process like ultrasonic machining (USM), electrical discharge machining (EDM), abrasive jet machining, electrochemical machining (ECM), electron beam machining, laser beam machining (LBM), ion beam machining etc. [1], are used to machine extremely hard materials like composites, ceramics andsuper alloys. EDM is the most popular non-conventional machining process. EDM is widely used in the aerospace industry to machine super alloy, Titanium alloy, etc. Ho et al. [2] reviewed the effect of electrical and non-electrical control input parameter to the quality measures like material removal rate (MRR), tool wear rate (TWR) and surface roughness (Ra). They also discussed various manufacturing issuesand electrode design. Abbas et al. [3] presented the recent research trend in wire EDM, die-sinking EDM, EDM with water dielectric, dry EDM, Effect of powder mixed additives to EDM process, ultrasonic EDM. Garg et al. [4] did a review ofwire electrical discharge machining (WEDM), sinking EDM on metal matrix composite (MMC). Kumar et al. reviewed of research work carried in the field of additive mixed EDM process [5] and application of powder additives on imparting desired surface finish to the machined surface [6]. There are so many input factors for EDM machining, hence optimization is required to optimize variousperformance measures like MRR to be maximized, surface roughness (Ra) to be minimized, tool wear rate Original Article International Journal of Mechanical and Production Engineering Research and Development (IJMPERD) ISSN (P): 2249-6890; ISSN (E): 2249-8001 Vol. 9, Issue 4, Aug 2019, 831-838 © TJPRC Pvt. Ltd.