Parametric optimization of electrochemical machining of Al/15% SiC_p composites using NSGA-Ⅱ

作     者：C.SENTHILKUMAR G.GANESAN R.KARTHIKEYAN 

作者机构：Department of Manufacturing EngineeringAnnamalai University Department of Mechanical Engineering 

出 版 物：《Transactions of Nonferrous Metals Society of China》 (中国有色金属学报（英文版）)

年 卷 期：2011年第21卷第10期

页      面：2294-2300页

核心收录：

学科分类：08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 

基　　金：国家自然科学基金 中国博士后科学基金 Supported by the High-tech Research and Development Program of China 

主　　题：electrochemical machining metal removal rate surface roughness non-dominated sorting genetic algorithm(NSGA-Ⅱ) 

摘      要：Electrochemical machining（ECM） is one of the important non-traditional machining processes,which is used for machining of difficult-to-machine materials and intricate *** a complex process,it is very difficult to determine optimal parameters for improving cutting *** removal rate and surface roughness are the most important output parameters,which decide the cutting *** is no single optimal combination of cutting parameters,as their influences on the metal removal rate and the surface roughness are quite opposite.A multiple regression model was used to represent relationship between input and output variables and a multi-objective optimization method based on a non-dominated sorting genetic algorithm-Ⅱ（NSGA-Ⅱ） was used to optimize ECM process.A non-dominated solution set was obtained.