Feasibility of Reused Palm Oil Blends as a Dielectric Medium for Electric Discharge Machine
M. Dastagiri1, P. Srinivasa Rao2, P. Madar Valli3
1M. Dastagiri, Research Scholar, Department of Mechanical Engineering, Centurion University, Odisha & Department of Mechanical Engineering, AITS, Rajampet, India.
2Dr. P. Srinivasa Rao, Department of Mechanical Engineering, Centurion University of Technology and Management, Odisha, India.
3Dr. P. Madar Valli, Department of Mechanical Engineering, SV College of Engineering, YSR Kadapa, India.
Manuscript received on 22 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1150-1155 | Volume-8 Issue-9, July 2019 | Retrieval Number: I8011078919/19©BEIESP | DOI: 10.35940/ijitee.I8011.078919
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Electric Discharge Machining (EDM) is the most widely used process of unconventional machining for making work pieces with intricate shapes and reconditioning of Dies. EDM can cut any work piece having good electrical conductivity. The EDM machining is obtained through a series of electric sparks, the shaped tool and work piece will not have any physical contact. The sparks are facilitated by dielectric oil through a pulsed generation circuit. The commonly used commercial EDM oils are Kerosene, Paraffin, Transformer oil and these are derived from petroleum oil, whose reserves are extinct briskly. During the process of EDM, operation Pyrolysis happen and a thin layer of carbon suit is found on the work piece outer surface. In this present work, an attempt is made to identify Eco-friendly green Dielectric media using used Palmolive oil and investigations are made with the shaped copper tool as a tool electrode and EN31 steel as a work electrode. A Design of Experiments (DOE) is adopted and experiments are conducted with Applied current (I) pulse on time (Ton) and Pulse off time (TOFF) as input variables and electrode wear rate (EWR), Material removal rate (MRR), Tool wear rate (TWR) and Surface Roughness (SR). The Machining is done on EDM with Commercial EDM oil and with used Palmolive oil and blends of palm oil and EDM oil is performed and findings are given.
Keywords: EDM, Material Removal Rate (MRR), Tool Wear Rate (TWR), Surface Roughness (SR).
Scope of the Article: Machine Learning