| 基于主轴系统动态行为的高速铣削工艺参数优化 |
| |
| 引用本文： | 张正旺,李爱平,鲍进,刘雪梅. 基于主轴系统动态行为的高速铣削工艺参数优化[J]. 同济大学学报(自然科学版), 2015, 43(1): 0113-0120 |
| |
| 作者姓名： | 张正旺 李爱平 鲍进 刘雪梅 |
| |
| 作者单位： | 同济大学现代制造技术研究所,上海,201804 |
| |
| 基金项目： | 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) |
| |
| 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.
|
| 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 |
| 收稿时间： | 2014-02-27 |
| 修稿时间： | 2014-10-13 |
Parameters Optimization of High Speed Milling Based on the Dynamic Behaviour of Spindle System |
| |
| ZHANG Zhengwang,LI Aiping,BAO Jin and LIU Xuemei. Parameters Optimization of High Speed Milling Based on the Dynamic Behaviour of Spindle System[J]. Journal of Tongji University(Natural Science), 2015, 43(1): 0113-0120 |
| |
| Authors: | ZHANG Zhengwang LI Aiping BAO Jin LIU Xuemei |
| |
| Affiliation: | Institute of Advanced Manufacturing Technology, Tongji University, Shanghai 201804, China,Institute of Advanced Manufacturing Technology, Tongji University, Shanghai 201804, China,Institute of Advanced Manufacturing Technology, Tongji University, Shanghai 201804, China and Institute of Advanced Manufacturing Technology, Tongji University, Shanghai 201804, China |
| |
| Abstract: | 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. |
| |
| Keywords: | dynamic behavior of spindle system chatter vibration Artificial Bee Colony algorithm maximization of production rate parameters optimization |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《同济大学学报(自然科学版)》浏览原始摘要信息 |
|
点击此处可从《同济大学学报(自然科学版)》下载全文 |
|
