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数控铣削参数优化方法的研究
引用本文:王德超1,朴成道2,尹凤哲1,赵德金2. 数控铣削参数优化方法的研究[J]. 延边大学学报(自然科学版), 2020, 0(4): 333-338
作者姓名:王德超1  朴成道2  尹凤哲1  赵德金2
作者单位:( 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 )
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.

关 键 词:多目标遗传算法  切削功率  表面粗糙度  铣削参数

Research on optimization method of CNC milling parameters
WANG Dechao1,PIAO Chengdao2,YIN Fengzhe1,ZHAO Dejin2. Research on optimization method of CNC milling parameters[J]. Journal of Yanbian University (Natural Science), 2020, 0(4): 333-338
Authors:WANG Dechao1  PIAO Chengdao2  YIN Fengzhe1  ZHAO Dejin2
Affiliation:( 1.Engineering Training Center, Yanbian University, Yanji 133002, China; 2.College of Engineering, Yanbian University, Yanji 133002, China )
Abstract: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.
Keywords:multi -objective genetic algorithm   cutting power   surface roughness   milling parameters
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