Application of Taguchi-grey multi responses optimization on process parameters in electro erosion |
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| Affiliation: | 1. Department of Mechatronics Engineering, SRM University, Kattankulathur, India;2. Department of Mechanical Engineering, Anna University, Chennai, India;1. Dept. of Electronics and Multimedia Communications, FEI Technical University of Ko?ice, Slovak Republic;2. Budapest University of Technology and Economics, Dept. of Measurement, Budapest, Hungary;1. School of Civil Engineering, Dalian University of Technology, Dalian 116024, PR China;2. School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, PR China;1. Department of Production Technology, MIT Campus, Chromepet, Anna University, Chennai, Tamil Nadu 600044, India;2. Department of Mechanical Engineering, CEG Campus, Guindy, Anna University, Chennai, Tamil Nadu 600025, India;1. Department of Mechanical Engineering, Anna University Regional Campus, Coimbatore 641 046, Tamil Nadu, India;2. Department of Mechanical Engineering, Karpagam Academy of Higher Education, Coimbatore 641 021, Tamil Nadu, India;3. Department of Mechanical Engineering, CIT Sandwich Polytechnic College, Coimbatore 641 014, Tamil Nadu, India;1. Department of Mechanical Engineering, Sri Krishna College of Engineering & Technology, Coimbatore, India;2. Department of Mechanical Engineering, Sri Krishna College of Technology, Coimbatore, India |
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| Abstract: | Convention Taguchi method deals with only single response optimization problems. Since the electrical discharge machining process involved with many response parameters, Taguchi method alone cannot help to obtain optimal process parameters in such process. In the present work, an endeavor has been made to derive optimal combination of electrical process parameters in electro erosion process using grey relational analysis with Taguchi method. This multi response optimization of the electrical discharge machining process has been conducted with AISI 202 stainless steel with different tool electrodes such as copper, brass and tungsten carbide. Gap voltage, discharge current and duty factor have been used as electrical excitation parameters with different process levels. Taguchi L27 orthogonal table has been assigned for conducting experiments with the consideration of interactions among the input electrical process parameters. Material removal rate, electrode wear rate and surface roughness have been selected as response parameters. From the experimental results, it has been found that the electrical conductivity of the tool electrode has the most influencing nature on the machining characteristics in EDM process. The optimal combination of the input process parameters has been obtained using Taguchi-grey relational analysis. |
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| Keywords: | Current Duration EDM Optimization Spark Taguchi |
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