数控铣削参数优化方法的研究  

Research on optimization method of CNC milling parameters

作　　者：王德超 朴成道[2] 尹凤哲[1] 赵德金[2] WANG Dechao;PIAO Chengdao;YIN Fengzhe;ZHAO Dejin(Engineering Training Center,Yanbian University,Yanji 133002,China;College of Engineering,Yanbian University,Yanji 133002,China)

机构地区：[1]延边大学工程训练中心,吉林延吉133002 [2]延边大学工学院,吉林延吉133002

出　　处：《延边大学学报（自然科学版）》2020年第4期333-338,共6页Journal of Yanbian University（Natural Science Edition）

基　　金：延边大学应用基础项目(602020025);吉林省高教科研课题(JGJX2020D50);延边大学2020年度“金课”项目。

摘　　要：为了优化数控铣削参数,以切削比能低、表面质量优为优化目标,对45号钢进行了单工步干式铣削沟槽正交实验.采用多目标遗传算法求解出了不同铣削参数的优化解,并通过对比经验参数与优化参数的实验结果得出了最优铣削参数组合.在最优铣削参数组合下对工件进行加工(粗/半精加工)时,其加工切削比能和工件表面粗糙度比优化前分别降低了46.2%和41.6%,因此本文优化方法可为提高数控铣削加工质量和降低能耗提供参考.In order to optimize the CNC milling parameters,with low cutting specific energy and excellent surface quality as the optimization goals,a single-step dry milling groove orthogonal experiment was carried out on 45 steel.The multi-objective genetic algorithm is used to solve the optimization solutions of different milling parameters,and the optimal milling parameter combination is obtained by comparing the experimental results of the empirical parameters and the optimized parameters.When machining under the optimal combination of milling parameters(rough/semi-finish machining),the specific energy of machining and the surface roughness of the workpiece are reduced by 46.2%and 41.6%respectively compared to before optimization.Therefore,the optimization method in this paper can provide reference for improving the quality of CNC milling and reducing energy consumption.

关 键 词：多目标遗传算法 切削功率 表面粗糙度 铣削参数 

分 类 号：TH16[机械工程—机械制造及自动化]