ECM Parameters Modeling and Optimization Using WSGA

Abstract:

Electrochemical machining (ECM) is a non tradition process used for the machining of metal matrix composites. Metal matrix composites are used for applications in aero scope, automobile industries and medical field. Determination of optimal process parameter is difficult in ECM machining process for obtaining maximum Material Removal Rate (MRR) and good Surface Roughness (SR).The multiple regression model was used to obtain the relationship between process parameters and output parameters and Weighted Sum Genetic Algorithm (WSGA) optimization was proposed to optimize the ECM process parameter. .The Voltage, Current, Feed Rate and Electrolyte Concentration are considered as decision variables, MRR and SR are the machining parameters used in the proposed work.

• Periodical: Applied Mechanics and Materials (Volumes 423-426)
• Pages: 925-930
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.423-426.925
• Online since: September 2013
• Authors: T.M. Chenthil Jegan, D. Ravindran*, M. Dev Anand
• Keywords: Electrochemical Machining, Material Removal Rate (MRR), Multi-Objective Optimization (MOP), Surface Roughness (SR), Weight Sum Genetic Algorithm

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