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Parametric optimization of electrochemical machining of Al/15% SiC_p composites using NSGA-Ⅱ 被引量:2
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作者 C.SENTHILKUMAR G.GANESAN R.KARTHIKEYAN 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2011年第10期2294-2300,共7页
Electrochemical machining(ECM) is one of the important non-traditional machining processes,which is used for machining of difficult-to-machine materials and intricate profiles.Being a complex process,it is very diff... Electrochemical machining(ECM) is one of the important non-traditional machining processes,which is used for machining of difficult-to-machine materials and intricate profiles.Being a complex process,it is very difficult to determine optimal parameters for improving cutting performance.Metal removal rate and surface roughness are the most important output parameters,which decide the cutting performance.There 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. 展开更多
关键词 electrochemical machining metal removal rate surface roughness non-dominated sorting genetic algorithm(NSGA-Ⅱ)
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