Fatigue Life Prediction of Turbine Blades Based on QAR Data

doi:10.16182/j.issn1004731x.joss.17-0202

Abstract

Abstract: 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.

Key words: high-pressure turbine blade, QAR data, load spectrum, numerical simulation, remaining life

CLC Number:

V232.4

Pi Jun, Gao Shuwei, Huang Jiangbo, Huang Lei, Ma Long. Fatigue Life Prediction of Turbine Blades Based on QAR Data[J]. Journal of System Simulation, 2019, 31(6): 1165-1171.

References

[1] 付娜. 某航空发动机涡轮盘和叶片的强度分析和寿命计算[D]. 西安: 西北工业大学, 2006.
Fu Na.Strength Analysis and Life Calculation of Turbine Disk and Blade of Aeroengine[D]. Xi’an: Northwestern Polytechnical University, 2006.
[2] 蔡伟. 某涡扇发动机涡轮叶片寿命计算分析[D]. 成都: 电子科技大学, 2014.
Cai Wei.Life Prediction and Analysis of Turbofan Engine Turbine Blade [D]. Chengdu: University of Electronic Science and Technology of China, 2014.
[3] 曾波. 某航空发动机涡轮叶片动态可靠性建模与分析[D]. 成都: 电子科技大学, 2013.
Zeng Bo.Dynamic Reliability Modeling and Analysis of An Aeroengine Turbine Blade [D]. Chengdu: University of Electronic Science and Technology of China, 2013.
[4] 闫晓军, 聂景旭. 涡轮叶片疲劳[M]. 北京: 科学出版社, 2014.
Yan Xiaojun, Nie Jingxu.Turbine blade fatigue[M]. Beijing: Science Press, 2014.
[5] 雷晓波. 航空发动机载荷谱计算方法研究[J]. 航空计算技术, 2016, 46(1): 85-89.
Lei Xiao Bo.Research on Load Spectrum Calculation Method for Aircraft Engine[J]. Aeronautical Computing Technology, 2016, 46(1): 85-89.
[6] 孙见忠, 左洪福, 梁坤. 基于民航发动机状态数据的涡轮叶片剩余寿命评估[J]. 机械工程学报, 2015, 51(23): 53-59.
Sun Jianzhong, Zuo Hongfu, Liang Kun.Remaining Useful Life Estimation for the Turbine Blade of a Civil Aircraft Engine Based on the QAR and Field Failure Data[J]. Journal of Mechanical Engineering, 2015, 51(23): 53-59.
[7] 荆甫雷, 王荣桥, 胡殿印. 一种单晶涡轮叶片热机械疲劳寿命评估方法[J]. 航空动力学报, 2016, 31(2): 299-306.
Jing Fulei, Wang Rongqiao, Hu Dianyin.A thermo-mechanical fatigue life assessment method for single crystal turbine blades[J]. Journal of Aeronautical Dynamics, 2016, 31(2): 299-306.
[8] 李骏, 宋友辉, 刘汉斌, 等. 涡轮叶片-榫头-轮盘的蠕变与低循环疲劳寿命预测[J]. 推进技术, 2015, 36(11): 1699-1704.
Li Jun, Song Youhui, Liu Hanbin, et al.Creep and Low Cycle Fatigue Life Prediction of Turbine Blade-Tenon- Structure[J]. Propulsion technology, 2015, 36(11): 1699-1704.
[9] 杨晓明, 张丽, 焦腾, 等. 涡轮叶片三维温度场耦合计算[J]. 机械设计与制造, 2012(8): 18-20.
Yang Xiaoming, Zhang Li, Jiao Teng, et al.Three- Dimensional Temperature Field Coupling Calculation of Turbine Blades[J]. Mechanical design and manufacturing, 2012(8): 18-20.
[10] 李钰洁, 刘永葆. 多级轴流涡轮叶片温度场非定常数值计算[J]. 推进技术, 2016, 37(4): 646-652.
Li Yujie, Liu Yongbao.Unsteady Numerical Simulation on Blade Temperature Field of Multi-Stage Axial Turbine[J]. Propulsion technology, 2016, 37(4): 646-652.
[11] 苏清友, 孔瑞莲, 陈筱雄, 等. 航空涡喷、涡扇发动机主要零部件定寿指南[M]. 北京: 航空工业出版社, 2004.
Su Qingyou, Kong Ruilian, Chen Xiaoxiong, et al.Air turbulence, turbofan engine main parts of the life guide[M]. Beijing: Aviation Industry Press, 2004.
[12] 周长春. 民用涡扇发动机超温问题研究及其在使用中的预防[D]. 西安: 西北工业大学, 2004.
Zhou Changchun.Research on Overheating Problem of Civil Turbofan Engine and Its Prevention in Use[D]. Xi’an: Northwestern Polytechnical University, 2004.
[13] 高效节能发动机编委会. 《高效节能发动机文集》第五分册-涡轮设计和实验[M]. 北京: 航空工业出版社, 1991.
Efficient energy-saving engine editorial board.《Energy efficient engine collection》Fifth volume- Turbine design and experiment[M]. Beijing: Aviation Industry Press, 1991.
[14] 谢龙汉, 赵新宇. ANSYS CFX流体分析及仿真[M]. 北京: 电子工业出版社, 2013.
Xie Longhan, Zhao Xinyu.ANSYS CFX Fluid analysis and simulation[M]. Beijing: Electronic Industry Press, 2013.
[15] Walker K.The Effects of Stress Ratio During Crack Propagation and fatigue for 2024-T3 and 7075-T6 Aluminum[R]. Effect of Environment and Complex Load History on Fatigue Life, STP 462, Am. Soc. Testing and Materials, West Conshohocken, PA, 1970: 1-14.
[16] 唐俊星, 陆山. 某涡轮盘低循环疲劳概率寿命数值模拟[J]. 航空动力学报, 2006, 21(4): 706-710.
Tang Junxing, Lu Shan.Numerical simulation of LCF probability life of a turbine disk[J]. Journal of Aeronautical Dynamics, 2006, 21(4): 706-710.
[17] 王卫国. 轮盘低循环疲劳寿命预测模型和试验评估方法研究[D]. 南京: 南京航空航天大学, 2006.
Wang Weiguo.Research on Prediction Model for Disc LCF Life and Experiment Assessment Methodology [D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2006.