4.4 Article

A methodology for dynamic behavior analysis of the slider-crank mechanism considering clearance joint

出版社

WALTER DE GRUYTER GMBH
DOI: 10.1515/ijnsns-2018-0307

关键词

contact-impact; dynamic analysis; revolute joint clearance; slider-crankmechanism

资金

  1. National Natural Science Foundation of China [52005230, 11902161]
  2. China Postdoctoral Science Foundation [2020M681531]

向作者/读者索取更多资源

The slider-crank mechanism is widely used in industrial equipment, and the dynamic behavior is affected by the revolute clearance joint. A computational methodology combining multibody dynamic theory and nonlinear contact theory is proposed to analyze the mechanism with a clearance joint, which is validated through experimental study. The sensitive dependence of a mechanical system on the revolute clearance joint is explained through dynamic response analysis with different driving velocities and clearance sizes.
The slider-crank mechanism is used widely in modern industrial equipment whereby the contact-impact of a revolute clearance joint affects the dynamic behavior of mechanical systems. Combining multibody dynamic theory and nonlinear contact theory, the computational methodology for dynamic analysis of the slider-crank mechanism with a clearance joint is proposed. The differential equations ofmotion are obtained considering the revolute clearance joint between the connecting rod and slider. In the mechanical system, the contact force is evaluated using the continuous force model proposed by Lankarani and Nikravesh, which can describe the contact-impactphenomenon accurately. Then, the experimental study is performedwhereby the numerical results are compared with the test data to validate the proposedmodel. Moreover, the dynamic response analysis is conducted with various driving velocities and clearance sizes, which also explains that the sensitive dependence of a mechanical system on the revolute clearance joint.

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。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据