Paper
25 October 2023 Research on the prediction model for the wear of bundle brush conductive slip ring in spacecraft
Guangqian Niu, Haihong Wu, Zhiyuan Qian, Chengshan Liu, Zhifei Ma
Author Affiliations +
Proceedings Volume 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023); 128012B (2023) https://doi.org/10.1117/12.3007241
Event: Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 2023, Dalian, China
Abstract
With the development of China's aerospace industry, the demand for long life and high reliability electrical transmission of space conductive slip rings is increasing. This article takes the bundle brush conductive slip ring as the research object, based on fractal theory and wear model, modifies fractal parameters, and establishes a prediction model for slip ring wear. The influence of fractal parameters and load on wear in the model was analyzed through numerical calculations. The average relative error between the predicted model results and experimental data during the entire wear process was 0.28. The wear prediction model established in this article can better reflect the actual wear process compared to other models, and can to some extent guide the optimization of sliding ring design parameters.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Guangqian Niu, Haihong Wu, Zhiyuan Qian, Chengshan Liu, and Zhifei Ma "Research on the prediction model for the wear of bundle brush conductive slip ring in spacecraft", Proc. SPIE 12801, Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023), 128012B (25 October 2023); https://doi.org/10.1117/12.3007241
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KEYWORDS
Fractal analysis

Electrical conductivity

Deformation

Data modeling

Metals

Elasticity

Materials properties

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