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Analytical Modeling and Experimental Validation of Gear Churning Loss in Helicopter Transmission Lubrication Systems

搅动 润滑 机械工程 弗劳德数 工程类 沉浸式(数学) 传输(电信) 汽车工程 工作(物理) 摩擦损失 转速 油浸 结构工程 模拟 阻力 流体轴承 机械 摩擦学 润滑油 边界润滑 动力传输 海洋工程 起落架 抓住 传动系统 功率损耗 扭矩 计算流体力学
作者
Ruifeng Zhao,Jie Ling,Peng Zhou,Jianfeng Zhong,Yang Duan
出处
期刊:Journal of tribology [ASM International]
卷期号:148 (1) 被引量:2
标识
DOI:10.1115/1.4069431
摘要

Abstract Effective lubrication is essential for the helicopter transmission system to ensure smooth power transfer, reduce friction, and prevent overheating. However, churning loss caused by interactions between lubricating oil and rotating gears decreases efficiency, accelerates wear, and undermines system reliability. To enable quantitative analysis of gear churning loss, this article proposes an innovative fluid dynamics model targeting accuracy improvements for helicopter transmission compact gearboxes. The core idea is the mechanistic decomposition of total losses into drag and pocketing components, with explicit consideration of dynamic oil immersion depth and gearbox wall clearance effects. A custom-designed adjustable test platform for helicopter transmission gearboxes is developed to experimentally validate the model’s predictive accuracy under diverse operating conditions, including rotational speeds ranging from 0 to 12,000 rpm and attitude angles of 0 deg, 10 deg, and 20 deg. Further investigations on the influence patterns of oil immersion depth and tooth width on gear pair churning loss are also conducted. Simulation results demonstrate that: (1) tooth width decisively determines loss mechanisms (end-face and pocketing losses contribute 46% and 10%, respectively, at 6 mm width, while end-face and pocketing losses contribute 10% and 74%, respectively, at 18 mm width) and (2) the evolution of dynamic oil surfaces with Froude number (Fr) causes variations in the immersion area, leading to overestimation of end-face losses. This work advances the design of lubrication systems by bridging theoretical predictions with experimental validation, offering actionable insights for reducing energy losses in high-performance transmissions.

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