期刊
MACHINES
卷 10, 期 12, 页码 -出版社
MDPI
DOI: 10.3390/machines10121196
关键词
oil film; aviation piston pump; high pressure; cylinder block; valve plate interface; modeling
资金
- National Natural Science Foundation of China
- Aviation Science Foundation of China Academy of Aeronautics
- [51890883]
- [U2141209]
- [20182876003]
- [1912]
This paper investigates the oil film characteristics of high-pressure aviation piston pumps and establishes related models. By analyzing the lubricating, sealing, load-bearing, and overturning characteristics of the oil film, the evolution law of different oil film characteristics with pressure changes is revealed, and suggestions for improving the structure and operating conditions of the pumps are proposed.
Oil film characteristics are critical to the high-reliability operation of high-pressure aviation piston pumps (APPs). However, there is still a lack of research on oil film modeling and characteristic analysis of high-pressure APPs. This paper takes the oil film at the cylinder block/valve plate interface of a 35 MPa high-pressure APP as the research object. By introducing a full oil film computational fluid dynamics (CFD) model considering non-isothermal and cavitation effects under multi-field coupling conditions, a cylinder block/valve plate interface oil film model is established, which includes a viscous wedge geometric model, multi-body dynamics model, and full oil film CFD model. The mesh independence test and force balance error analysis ensure the accuracy of the model calculation. Based on the established model, the oil film's lubricating, sealing, load-bearing, and overturning characteristics are comprehensively and systematically analyzed, and the evolution law of different oil film characteristics with pressure changes is revealed. Moreover, suggestions for improving the structure and operating conditions of a 35 MPa high-pressure APP are proposed to optimize the oil film characteristics of the cylinder block/valve plate interface.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据