Paper
27 October 2023 Analyze the influence of carburized layer thickness and assembly error on the reliability of thin-walled gear ring system based on ABAQUS
Xinrui Tao, Jing Guo, Minghui Lin, Hanjun Gao
Author Affiliations +
Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 129221W (2023) https://doi.org/10.1117/12.3009227
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China
Abstract
Internal meshing, an innovative mechanical transmission mode that enjoys widespread application, high transmission accuracy, and compact structure, is frequently employed within planetary transmission mechanisms. However, the assembly process of these gears inevitably introduces various types of assembled errors. In this research paper, we utilize a parametric modeling technique for gears based on the Creo software to establish three-dimensional models of gears. Subsequently, we employ the ABAQUS software to analyze and solve finite element problems related to the different forms of assembled errors. Our objective is to investigate the impact of these errors on the stress and strain of gear components, particularly the thin-walled gear rings in transmission processes. Furthermore, we also evaluate the performance of these gear rings under varying carburized layer thicknesses. Through our comprehensive analysis and examination, we aim to provide valuable insights into optimizing internal meshing systems and enhancing their structural integrity and reliability.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xinrui Tao, Jing Guo, Minghui Lin, and Hanjun Gao "Analyze the influence of carburized layer thickness and assembly error on the reliability of thin-walled gear ring system based on ABAQUS", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 129221W (27 October 2023); https://doi.org/10.1117/12.3009227
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KEYWORDS
Reliability

Error analysis

3D modeling

Clouds

Material fatigue

Chemical elements

Solids

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