摘要
数控加工中,切削参数的选择至关重要,直接关系到产品的加工质量和生产效率,然而影响切削参数的因素较多,通过传统的方法确定最优参数比较困难。文章以最大生产率为目标函数,分析了切削速度和每齿进给量对数控机床生产效率的影响因素,利用遗传算法,在Matlab软件中实现了对数控铣床加工参数的优化,并实证求得目标函数的最优解,证明了研究的算法是可行的和正确的。
In NC machining, the choice of cutting parameters is very important, directly related to the quality and efficiency of the products. However, the factors of cutting parameters are various, and the parameters determined by the traditional methods are difficult. This article, taking maximum productivity as the objective function, analyzes the influence factors of CNC machine tool production efficiency due to the cutting speed and feed per tooth. By using the genetic algorithm in Matlab software, this paper realized the optimiza- tion of processing parameters of the numerical control milling machine, and confirms that the optimal solution of objective function is obtained , proving that the research of the algorithm is feasible and correct.
出处
《组合机床与自动化加工技术》
北大核心
2016年第1期39-41,共3页
Modular Machine Tool & Automatic Manufacturing Technique
基金
陕西省教育厅产业化项目:面向煤机装备制造业的数控加工仿真系统研发(2010JC11)
关键词
遗传算法
目标函数
切削参数
优化
数控铣床
genetic algorithm
parameter optimization
penalty function
CNC milling machine
