摘要
数控机床是典型的机械制造工艺设备和工作母机,其在加工过程中会消耗大量能量,随着能源短缺问题日益突出,数控机床的能耗问题已成为当前国际关注的热点。主要对数控铣床的铣削参数进行了优化,提出了基于遗传算法的切削参数优化方法,该方法以数控铣床能耗和成本为优化目标函数,通过数控铣床技术参数确定约束条件,采用回归分析法获取铣削力参数,最后利用遗传算法对参数模型进行优化求解,并进行实验验证,实验结果表明优化后的切削参数可以满足切削要求,并达到了降低切削能耗的目的。
Machine tool is the typical mechanical manufacturing process equipment and the main working machine. It produces a large amount of energy in the process of transferring roughcast into parts. With the increasingly serious problem of energy shortage, energy consumption of machine tools is becoming a hot spot of international concern.Therefore, thisthesis mainly focuses on milling parameter optimizationof CNC milling machine which has been widely applied in CNC machine tool. And proposed thecuttingparameters optimization method based on genetic algorithm.The method with CNC milling machine energy consumption and cost in order to optimize the objective function and constraint conditions determined by numerical control milling machine technical parameters. To obtainthe milling force parametersusing regression analysis method and optimize the parameter model using genetic algorithm.Experimental results show that the use of optimized outting parameters can meet cutting requirements and achieve lower cutting energy consumption.
出处
《机电工程技术》
2016年第1期85-87,133,共4页
Mechanical & Electrical Engineering Technology
关键词
数控铣床
遗传算法
参数优化
CNC milling machine
genetic algorithm
parameters optimization
