基于QAR数据的涡轮叶片疲劳寿命预测  

Fatigue Life Prediction of Turbine Blades Based on QAR Data

作　　者：皮骏[1] 高树伟[2] 黄江博 黄磊[2] 马龙[1] Pi Jun;Gao Shuwei;Huang Jiangbo;Huang Lei;Ma Long(Civil Aviation University of China, Sino-European Institute of Aviation Engineering, Tianjin 300300, China;Civil Aviation University of China, Institute of Aviation Engineering, Tianjin 300300, China)

机构地区：[1]中国民航大学中欧航空工程师学院,天津300300 [2]中国民航大学航空工程学院,天津300300

出　　处：《系统仿真学报》2019年第6期1165-1171,共7页Journal of System Simulation

基　　金：国家自然科学基金委员会与中国民用航空局联合资助项目(U1633101)

摘　　要：针对高压涡轮叶片的特点,提出一种基于QAR数据的民用航空发动机高压涡轮叶片实际使用载荷谱的数值模拟方法。从QAR中提取飞机飞行过程中记录的发动机实际使用载荷谱,通过有限元仿真得到涡轮叶片在实际使用过程中离心力、气动力和热应力的时间历程,借助寿命评估模型估算叶片实际使用寿命。该方法为高压涡轮叶片实际使用载荷的获取和剩余寿命的评估提供一种可靠的工程方法,对高压涡轮叶片的可靠性和受载特性的研究具有重要参考价值。Based on the characteristics of the high-pressure turbine blade, a numerical simulation method for the actual load spectrum of the high-pressure turbine blade of the civil aircraft engine based on the QAR data is proposed. The actual service load spectrum of the engine recorded during aircraft flight is extracted from the QAR data;the time history of centrifugal force, aerodynamic force and thermal stress of the turbine blade in actual use is obtained by means of finite element simulation;and with life prediction model, the actual service life of the blade is estimated. This method provides a reliable engineering method for evaluating the remaining life and obtaining the actual service load of the high-pressure turbine blade, which is valuable for studying the reliability and load characteristics of the high-pressure turbine blade.

关 键 词：高压涡轮叶片 QAR数据 载荷谱 数值模拟 剩余寿命 

分 类 号：V232.4[航空宇航科学与技术—航空宇航推进理论与工程]