摘要
提出了一种基于主轴系统动态行为的高速铣削工艺参数优化方法.基于主轴系统动态行为,以无颤振状态下随转速变化的极限切削深度最大及生产率最大为综合优化目标函数,构建集成主轴系统动态行为与工艺参数交互影响特性的优化模型,运用人工蜂群算法对铣削工艺参数进行优化计算,得到无颤振状态下生产率最大的最优铣削工艺参数组合方案.实例及试验结果表明,采用基于主轴系统动态行为的高速铣削工艺参数优化方法可以获得最优铣削工艺参数,该参数在实际切削时不会发生颤振.
A high speed milling process parameters optimization method with considering the dynamic behavior of the spindle system is presented.Based on the dynamic behavior of spindle system,an optimization model which integrates the interaction characteristics of spindle system dynamic behavior and the parameters is constructed.Maximizing the limited depth of cut which can avoid the occurrence of chatter vibration and maximizing the production rate are considered as objectives.By using Artificial Bee Colony algorithm,the optimal milling parameters are obtained.Example and experimental results show that,to get the optimal results,spindle system dynamic behavior must be considered as variable in the optimization process.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2015年第1期113-120,共8页
Journal of Tongji University:Natural Science
基金
上海市"十二五"基础性研究重点项目(12JC1408700
11JC1413200)
国家高档数控机床与基础制造装备科技重大专项(2011ZX04015-022)
关键词
主轴系统动态行为
颤振
人工蜂群算法
最大生产率
工艺参数优化
dynamic behavior of spindle system
chatter vibration
Artificial Bee Colony algorithm
maximization of production rate
parameters optimization
