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《China Mechanical Engineering》 2018-07
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Prediction Model of Surface Roughness of 8418 Steel by EDM Based on SVM

YU Jianwu;HU Qifeng;WEN Cheng;LIU Bo;SHEN Xiang;College of Mechanical & Vehicle Engineering,Hunan University;  
Because of the complexity of EDM processes,it took a great deal of time and high experimantal costs to study the effects of various discharge parameters and non-electric parameters on Raof the workpieces.Based on SVM,a model was proposed to predict the surface roughness of workpieces after EDM,and genetic algorithm was used to optimize the parameters of the model to predict the surface roughness machined by different electrical discharge parameters.An EDM experiment was applied on 8418 steel to verify the accuracy of prediction model of surface roughness by comparing the predicted values with the experimental ones.Finally the errors analysis were carried on,and the maximun error of model is 2.27% .
【Fund】: 国家自然科学基金资助项目(51275165);; 湖南省自然科学基金资助项目(2015JJ2026)
【CateGory Index】: TG661
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【Co-citations】
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【Co-references】
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1 YU Jianwu;HU Qifeng;WEN Cheng;LIU Bo;SHEN Xiang;College of Mechanical & Vehicle Engineering,Hunan University;;Prediction Model of Surface Roughness of 8418 Steel by EDM Based on SVM[J];中国机械工程;2018-07
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