摘要
提高连接臂的疲劳寿命对于宏微运动平台超高加速度和超精密定位的实现起着非常重要的作用。文中针对超高加速度宏微运动平台关键部件连接臂展开研究:采用SolidWorks软件搭建连接臂模型,通过有限元分析软件ANSYS Workbench对连接臂进行静力分析、疲劳分析。为了提高连接臂疲劳寿命,以满足连接臂的工作要求为约束条件,以连接臂的质量最小、寿命最高为优化目标进行拓扑优化研究。基于拓扑优化结果,对模型进行优化,所获得的优化后的连接臂模型与优化前模型进行对比,结果表明优化后的连接臂在质量减少的同时大幅提高了寿命,这为超高加速度宏微运动平台实现超精密定位提供了理论支持。
Prolonging the connecting arm’s fatigue life plays a very important role in realization of ultra-high acceleration and ultra-precise positioning of the macro-micro motion platform. This article focuses on the connecting arm, which serves as one of the key components of the ultra-high acceleration macro and micro motion platform. The SolidWorks software is adopted to set up the model of the connecting arm, and the finite-element software ANSYS Workbench is used for static and fatigue analysis of the connecting arm. In order to improve the connecting arm’s fatigue life and meet the working requirements as the constraint condition, topology optimization is carried out on the connecting arm with the objectives of minimum mass and the longest life cycle. Based on the results of topology optimization, the model is optimized, and the model of the optimized connecting arm is compared with the model before optimization. The results show that the optimized connecting arm reduces its mass and greatly prolongs its life cycle. This provides theoretical support for ultra-precise positioning of the ultra-high acceleration macro-micro motion platform.
作者
张璐凡
姜薄士
许佩
马兵
刘瑞卓
ZHANG Lu-fan;JIANG Bo-shi;XU Pei;MA Bing;LIU Rui-zhuo(School of Mechanical and Electrical Engineering,Henan University of Technology,Zhengzhou 450001;Golden Leaf Manufacturing Center of Henan China Tobacco Industry Co.,Ltd.,Zhengzhou 450000;School of Construction and Machinery,Chang'an University,Xi'an 710064)
出处
《机械设计》
CSCD
北大核心
2022年第4期85-89,共5页
Journal of Machine Design
基金
国家青年科学基金资助项目(51705132)
河南省科技厅自然科学项目(222102220088)
河南省教育厅自然科学项目(21A460006)。
关键词
连接臂
超高加速度
宏微运动平台
疲劳分析
优化设计
connecting arm
ultra-high acceleration
macro-micro motion platform
fatigue analysis
optimization design