摘要
针对传统航空发动机部件寿命计算方法没有考虑发动机实际运行环境的问题,提出1种基于传感器数据的部件寿命计算方法。首先构建含有涡轮叶片热机械疲劳寿命模型的仿真系统,利用Monte Carlo仿真来获取不同运行环境下叶片寿命数据,采用威布尔分布计算叶片失效概率,得到叶片等效使用寿命。结果表明:运行环境对发动机部件寿命及失效概率有重要影响,而基于传感器或机载模型数据的部件计算方法可以有效避免传统计算方法的缺陷,将发动机实际运行环境纳入到寿命计算中,为寿命延长控制、寿命管理等相关研究提供精确的部件寿命。
The traditional component life calculation method was difficult to take the actual engine operating environment into account.In order to solve the problem,a sensor-based life calculation was proposed.Firstly,a closed-loop simulation system was built which contains a TMF life model of the high pressure turbine stator.After that,a Monte Carlo simulation was used to generate the analysis data of component life under different operating environment.Then Weibull distribution was used to calculate the probability of failure and the equivalent life of the stator.The results show that operating environment has important impact on the stator life and the probability of failure,and life calculation based on the sensor data or model data could avoid the shortcomings of traditional life calculation approach,it could provide accurate life estimation for the research of life extending control and life management.
出处
《航空发动机》
2015年第3期30-35,共6页
Aeroengine
基金
航空科学基金(2011ZB53022)资助
