Simulation and experimental investigation of tool wear rate in dry and near-dry EDM process. (10th February 2021)

• Record Type: Journal Article
• Authors: Ganachari, Vaibhav Sidraya; Chate, Uday; Waghmode, Laxman; Jadhav, Prashant; Mullya, Satish
• Is Part Of: World journal of engineering. Volume 18:Number 5(2021)
• Page Start: 701
• Page End: 709
• Publication Date: 2021-02-10
• Subjects: Finite element analysis -- Heat flux -- Dry EDM (DEDM) -- Near-dry EDM (NDEDM) -- Spark radius -- Tool -- Wear rate -- Thermal model -- Temperature profile; Engineering -- Periodicals; 620
• DOI: 10.1108/WJE-07-2020-0322
• Languages: English
• ISSNs: 1708-5284

Abstract

Abstract : Purpose: Many engineering applications in this era require new age materials; however, some classic alloys like spring steel are still used in critical applications such as aerospace, defense and automobile. To machine spring steel material, there exist various difficulties such as rapid tool wear rate, the rough surface formation of a workpiece and higher power consumption. The purpose of this paper is to address these issues, various approaches in addition to electrical discharge machines (EDM) are used such as dry EDM (DEDM) and near dry EDM (NDEDM). Design/methodology/approach: This study focuses on these two approaches and their comparative analysis with respect to tool wear during machining of spring steel material. For this study, current, gap voltage, cycle time and dielectric medium pressure are considered input variables. This study shows that the near dry EDM approach yields better results. Hence, the thermo-electrical model for this approach is developed using ANSYS workbench, which is further validated by comparing with experimental results. This thermo-electrical model covers spark radius variation and formation of temperature profile due to electric discharge. Transient thermal analysis is used to simulate the electric discharge machining. Findings: It is observed from this study that discharge environment parameters such as debris concentration and fluid viscosity largely influences the dielectric fluid pressure value. Experimental results revealed that NDEDM yields better results in comparison with DEDM as it shows a 25% lesser tool wear rate in NDEDM. Originality/value: The range of predicted results and the experimental results are in close agreement, authenticating the model.