Analysis of Electro Chemical Micro Machining Process Parameters by Taguchi Orthogonal Array
Palani S1, Iruthayaraj R2, Vijayakumar D3, Selvam M4, Paul Linga Prakash R5
1Palani S, Department of Mechanical Engineering, Vel Tech Multi Tech, Avadi, Chennai, India.
2Iruthayaraj R, Department of Mechanical Engineering, Vel Tech Multi Tech, Avadi, Chennai, India.
3Vijayakumar D, Department of Mechanical Engineering, Vel Tech Multi Tech, Avadi, Chennai, India.
4Selvam M, Department of Mechanical Engineering, Vel Tech Multi Tech, Avadi, Chennai, India.
5Paul Linga Prakash R, Department of Mechanical Engineering, Vel Tech Multi Tech, Avadi, Chennai, India.
Manuscript received on 10 June 2019 | Revised Manuscript received on 17 June 2019 | Manuscript Published on 19 June 2019 | PP: 717-721 | Volume-8 Issue-8S June 2019 | Retrieval Number: H11230688S19/19©BEIESP
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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: The advancement of Mechanical engineering field is very essential to meet the growing demands of the industry. In particular the demand for alloy material having high hardness, toughness and impact resistance has grown multifold due to high level of design constraints. Electro Chemical Micro Machining (ECMM) process is well suited for marching any grade of hardness materials which are very difficult or else impossible for machining with conventional process. In addition, this machining process is specializing for machining complex shape jobs. And moreover, through this method of technique the tool need not be harder than work piece. Beryllium copper is taken as work piece because of its good electrical conductivity and copper is taken as tool for machining process. A mixture of water with Sodium Chloride is taken as electrolyte. The objective is to analyze three ECMM process parameter methods of voltage (V), of electrolyte concentration (gm/l) as well as rate of feed (μm/s) and to determine the MRR and surface finish of the material during the machining process. Then it’s optimized using grey relation analysis method.
Keywords: ECMM, Beryllium Copper, Copper Tool, Water With Sodium Chloride Electrolyte, Optimized Using Grey Relation Analysis Method.
Scope of the Article: Mechanical Maintenance