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Study on Wear Characteristics of Revolute Clearance Joints in Mechanical Systems.
Bai, Zhengfeng; Ning, Zhiyuan; Zhou, Junsheng.
Afiliação
  • Bai Z; Department of Mechanical Engineering, Harbin Institute of Technology, Weihai 264209, China.
  • Ning Z; Department of Astronautics Engineering, Harbin Institute of Technology, Harbin 150001, China.
  • Zhou J; Department of Astronautics Engineering, Harbin Institute of Technology, Harbin 150001, China.
Micromachines (Basel) ; 13(7)2022 Jun 27.
Article em En | MEDLINE | ID: mdl-35888835
ABSTRACT
The existence of clearance causes contact-impact forces in joints, which lead to surface wear and incessant material loss of the joint surface during the motion of mechanisms. In this work, the wear characteristics of dry revolute clearance joints in planar mechanisms are studied using a computational methodology. The normal contact force model and the tangential friction force model are established to describe the contact-impact in clearance joints. Then, the dynamic wear model based on the Archard's wear model is established to predict the wear characteristics of clearance joints in mechanisms. The dynamic wear depths of clearance joints are obtained in two steps. The first step is the dynamics analysis of mechanisms to obtain the contact and sliding characteristics between the bearing and journal in the clearance joint. The second step is the dynamic wear depth analysis of clearance joints based on dynamic Archard's wear model. Finally, a planar slider-crank mechanism with two revolute clearance joints between the connecting rod and its adjacent links is used as the implement example. Different case studies are performed to investigate the wear characteristics of clearance joints in mechanical systems.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China