基于聚类分析的航空发动机轴承腔油气两相流型辨识

The Oil/Air Two Phase Flow Pattern Recognition in Bearing Chamber of Aircraft Engine Based on Clustering Analysis

轴承腔是航空发动机内的重要部件,对其内两相流流动状态的理解有助于提高发动机的润滑效率、提升发动机的工作性能和可靠性。基于流型辨识研究两相流在不同流型下的流动性质是获取轴承腔内物理现象的一个可行途径。在考虑试验获取难易性和辨识能力条件下,结合前人研究成果,应用K-Means聚类法对利于辨识轴承腔3种典型两相流流型的特征参数-无量纲两相介质速度和无量纲压力在近壁面附近的数值进行聚类分析。研究结果表明:该方法能够成功地将轴承腔3种典型流型进行归类,这对基于流型辨识研究轴承腔内3种典型流型下两相介质的物理状态,以及轴承腔润滑设计和换热分析提供了基础。

The bearing chamber is an important component in aircraft engine. To understand the oiL/air two phase flow conditions in the bearing chamber is beneficial to improve the lubrication efficiency, working performance and reliability of an aircraft engine. The two phase flow conditions of the different flow patterns can be studied based on the flow pattern recognition, which is a feasible way to obtain the physical phenomenon of two phase flows in the bearing chamber. Considering the experiment accessibility, recognition ability and the predecessors＇ works, the K- Means clustering analysis was employed to cluster the oil/air two phase flow pattern in the bearing chamber with the characteristic parameters on the wall surface nearby. The dimensionless two phase mixture velocity and the dimen- sionless pressure were chosen as the characteristic parameters for their remarkable difference in the flow pattern. The results of work indicate that the clustering approach is a successful one to identify the flow pattern in the bear- ing chamber. The work supports the physical conditions research, the lubrication design and the heat transfer analy- sis in the bearin~ chamber based on the flow pattern recognition.