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Lubrication Reliability and Oil Churning Loss of Differential Gear Trains in a Mechanical-Hydraulic Coupling Mechanism
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Shandong University of Science and Technology, China
Taishan University, China
These authors had equal contribution to this work
Submission date: 2023-11-01
Final revision date: 2023-12-24
Acceptance date: 2024-01-17
Online publication date: 2024-01-27
Publication date: 2024-01-27
Corresponding author
Zhiyuan Sun   

Shandong University of Science and Technology, 266590, Qingdao, China
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(2):182434
  • MPS models are developed for differential gear trains.
  • The influence of different factors on the lubrication reliability is analyzed.
  • The height that may reduce the lubrication reliability is obtained.
  • The feasibility of the MPS method is validated by experiments.
A differential gear train (DGT) is a crucial component of a mechanical-hydraulic coupling mechanism. The transmission process generates oil churning losses, which significantly impact the overall transmission efficiency. Due to the complexity of DGTs and the unpredictability of lubrication reliability, traditional analysis of churning characteristics is inadequate. In this study, the moving particle semi-implicit (MPS) method is employed to analyze the effects of steady-state rotation speeds, dynamic rotation speeds, and oil filling heights on the oil churning characteristics of DGTs. The accuracy of the MPS method in predicting churning loss is illustrated by the average absolute percentage error of 6.4% obtained experimentally. It is concluded that: increasing the oil filling height improves lubrication reliability by 20.9%, but results in greater power loss. The lubrication reliability and power loss of DGTs with different output forms are mutually advantageous under different influencing factors. This paper helps to improve the lubrication reliability of DGTs.
This work was supposed by the National Natural Science Foundation of China (52274132) and the Shandong Construction Machinery Intelligent Equipment Innovation and Entrepreneurship Community (GTT20220206).
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