期刊
MECCANICA
卷 57, 期 1, 页码 229-250出版社
SPRINGER
DOI: 10.1007/s11012-021-01453-w
关键词
Multi-link press mechanism; Joint clearance; Non-uniform wear; Archard model
类别
资金
- Shandong Key Research and Development Public Welfare Program [2019GGX104011]
- Natural Science Foundation of Shandong Province [ZR2017MEE066]
This study presents a dynamic modeling and analysis method for predicting the impact of wear clearance on precision press mechanism, using a hybrid drive seven-bar press mechanism as an example. By solving contact force, friction force, predicting wear characteristics of joint clearance, and discussing factors affecting wear characteristics and dynamic response, it offers a theoretical basis for dynamic behavior prediction and design support for high-precision presses.
The multi-link press mechanism is developing in the direction of high speed and high precision. However, the non-uniform wear of joint clearance seriously affects the output motion accuracy of mechanism. In order to accurately predict the impact of wear clearance on precision press mechanism, this paper takes the hybrid drive seven-bar press mechanism as an example, a method of dynamic modeling and analysis for the press mechanism with non-uniform wear clearance is developed. First, the contact force and friction force at the clearance are solved based on the L-N model and modified Coulomb friction model respectively, and the dynamic model of press mechanism with clearances is developed by Lagrangian multiplier method. Then, the wear characteristics of joint clearance are predicted by Archard model. Finally, the influences of factors such as wear times, friction coefficient and driving velocities on wear characteristics of kinematic pair and the dynamic response of press mechanism are discussed respectively. This study offers a theoretical basis for dynamic behavior prediction of press mechanism with multiple non-uniform wear clearances, and lays a foundation for the design and manufacture of high-precision press.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据