期刊
MACHINES
卷 10, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/machines10111080
关键词
cryogenic turbopump; ball bearing; dynamic model; power loss; coupled fluid-thermal finite element model
资金
- Youth Program of the National Natural Science Foundation of China
- [51905152]
This study investigates the lubrication characteristics and heat generation characteristics of ball bearings for cryogenic turbopumps. The frictional coefficients between different materials and the performance of the bearings under various conditions were analyzed. The results show that the power loss due to ball spinning-sliding and LN2 churning and drag is significant, and the spin-roll ratio of the ball on the inner raceway is a key indicator for this type of bearing.
This paper studies the lubrication characteristics of ball bearings for cryogenic turbopumps. First, the frictional coefficients between 440C and a Ag coating, 440C and solid PTFE (polytetrafluoroethylene), and 440C and a PTFE coating in LN2 (liquid nitrogen) are obtained using a ball-on-disk testing machine under a high sliding speed in the range of 0 to 8 m/s and a high contact stress in the range of 2.5 to 3.5 GPa. Dynamic and power loss models of high-speed and high-load ball bearings are established to study the key factors affecting the heat generation characteristics. In order to verify the correctness of these two theoretical models, a coupled fluid-thermal finite element model is built to evaluate the temperatures of the outer ring under different bearing speeds, which are then proved by experiments with ball bearings for cryogenic turbopumps. The results show that the power loss due to the spinning-sliding of the ball and the churning and drag of LN2 account for more than 80% of the total power loss; the spin-roll ratio of the ball on the inner raceway is a key indicator for this type of ball bearing, and the relatively small radial clearance and contact angle are suggested. Both of the proposed theoretical models have sufficient accuracy and can be used in the performance evaluation and optimization design of bearings.
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