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《Modular Machine Tool & Automatic Manufacturing Technique》 2012-01
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Machining Parameter Optimization based on Data Mining

LI Tie-gang1,2,FAN Zhi-guang2,WANG Wan-shan1(1.School of Mechanical Engineering & Automation,Northeastern University,Shenyang 110004,China;2.Mechanical Department,Shenyang Institute of Engineering,Shenyang 110136,China)  
According to the complex of NC programming selection and optimization of cutting parameters for structure part,the paper introduces a method of cutting parameters selection and optimization using data mining,influence factor analysis and a classification algorithm were adopted to analyze the affecting factor of process parameter and establish the optimization model.The correctness and validity of the method was examined and certified by experiments.
【Fund】: 国家自然科学基金项目(50975043)
【CateGory Index】: TP311.13
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