An Efficient Modeling Method for the Simulation of Ball Bearing Dynamics

Autor:	Shi Chen, Ke He, Xiaojiang Cai, Zhinan Zhang
Rok vydání:	2022
Předmět:	Control and Systems Engineering Applied Mathematics Mechanical Engineering General Medicine
Zdroj:	Journal of Computational and Nonlinear Dynamics. 17
ISSN:	1555-1423 1555-1415
DOI:	10.1115/1.4055314
Popis:	Efficiency and accuracy play an important role in numerical simulation for ball bearings dynamics. In this work, three kinds of contact models are developed in vector form to represent the interactions in ball/raceway, ball/cage, and cage/raceway. Considering the fluctuation induced by friction and divergence by damping force in ball bearings, the dynamic computational methods based on the modifications in the formulation of friction and acceleration are proposed. Then the simplified ball bearing system is simulated by fixed and variable step integration methods. The comparison of results from both solutions and applied step size has indicated the validity and higher efficiency of the proposed methods. Furthermore, a full dynamics simulation of a 100 angular-contact ball bearing is conducted. Results show that the proposed models and methods have satisfactory stability and accuracy under a considerably long simulation time step.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5992f9174281ec80b5db37afbba76227 https://doi.org/10.1115/1.4055314 Zobrazit plný text záznamu