Effect on Machined Surface Characterization during ECM of AISI 304 Steel
Navita1, S.S.Dhami2
1Navita, M.E Student, National Institute of Technical Teachers Training & Research, Chandigarh, India.
2Dr.S.S.Dhami, Associate Professor in Mechanical Engineering Department, National Institute of Technical Teachers Training & Research ,Chandigarh, India.
Manuscript received on April 30, 2020. | Revised Manuscript received on May 06, 2020. | Manuscript published on May 30, 2020. | PP: 1996-2001 | Volume-9 Issue-1, May 2020. | Retrieval Number: F9789038620/2020©BEIESP | DOI: 10.35940/ijrte.F9789.059120
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© 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: SAISI 304 chrome steel which is extensively used practically altogether industrial applications is represented about half of world’s chrome steel production and consumption. Due to its aesthetic view in architectures, prevalent mechanical and physical properties, weld capacity, obstruction against consumption and synthetic concoctions, it becomes as the most favored material. ECM is one of the most effective machining process because of its capacity to create totally tranquil machine parts with no need of the further completing procedure. In this paper gives the knowdge about the electrochemical machining of AISI 304 steel. Approach of the investigates are done by using Taguchi methodology to study the surface roughness, micro hardness and microstructure. Process parameters such as electrolyte concentration, electrolyte flow rate, applied voltage and feed rate has been optimized by the ANOVA using. This research work supports the industrialist for choosing parameters to accomplish anticipated outputs.
Keywords: ECM, ANOVA, AISI 304, Taguchi Method ,EC (Electrolyte Concentration), FR(Feed Rate), EFR(Electrolyte Flow Rate), AP (Applied Voltage), SR (Surface roughness), MH (Micro hardness)
Scope of the Article: IoT Applied for Digital Contents