轴承是航空发动机的关键部件, 航空发动机轴承的疲劳失效往往源于运动体的微损伤(包括磨损、疲劳剥落和断裂3种类型), 对于微损伤信号的动态检测和及时报警, 能够有效避免后续的严重事故。针对高速精密运动元件微损伤的检测问题, 通过ANSYS建模分析、图像识别技术等, 探索轴承等高速转动部件的微损伤信号特征及识别方法, 通过高速运动元件的滑油中磨损颗粒粒径显微成像分析研究, 设定不同的工况条件, 来研究损伤应力变化, 并藉此判断损伤模式。

Bearing is the key components of aviation engine.The fatigue failure of aviation engine bearing often arises from the micro injury of motor elements, including wear, fatigue and spalling.Dynamic detection and alarm of micro injury signals can avoid the subsequent severe accidents effectively.Aimed at micro damage detection problem of the high-speed precision motion element, this paper uses the ANSYS model analysis and image recognition technology to explore the micro damage signal characteristics and identification methods of high-speed rotating parts like bearings.By setting different work conditions to study the micro images of the wear grain size in oil of high-speed motion elements, the paper carries out researches on the change of damage stress, by which the damage model is judged.