Paper
12 December 2021 The mixing oil loss analysis of planetary gear train based on MPS method
Lirong Wan, Hao Niu, Hanzheng Dai, Zhenguo Lu, Zhiyuan Sun, Wenting Liu
Author Affiliations +
Proceedings Volume 12127, International Conference on Intelligent Equipment and Special Robots (ICIESR 2021); 121270E (2021) https://doi.org/10.1117/12.2625273
Event: International Conference on Intelligent Equipment and Special Robots (ICIESR 2021), 2021, Qingdao, China
Abstract
The mixing oil loss of planetary gear train is affected by many factors, and the flow field of splash lubrication is complex, which is difficult to study directly by theoretical or experimental methods. Therefore, based on MPS method, the planetary gear train transmission was taken as the research object to analyze the power loss of planetary gear train under different speed, oil immersion depth and oil temperature conditions. The results show that the power loss increases with the increase of gear speed, oil immersion depth and lubricating oil temperature, but the effect of lubricating oil temperature on the oil loss is relatively small. It provides a simple, efficient, meshless and accurate simulation method for the analysis of mixing oil loss of planetary gear train.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lirong Wan, Hao Niu, Hanzheng Dai, Zhenguo Lu, Zhiyuan Sun, and Wenting Liu "The mixing oil loss analysis of planetary gear train based on MPS method", Proc. SPIE 12127, International Conference on Intelligent Equipment and Special Robots (ICIESR 2021), 121270E (12 December 2021); https://doi.org/10.1117/12.2625273
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KEYWORDS
Particles

Computer simulations

Planets

3D modeling

Teeth

Mathematical modeling

Motion models

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