Remaining Useful Life Estimation Method for the Turbine Blade of a Civil Aircraft Engine Based on the QAR and Field Failure Data

Abstract

Abstract: Based on the limited information on the civil aircraft engine, a remaining useful life prediction method for the turbine blade based on the quick access recorder(QAR) history data and the field failure data is proposed. The stress and temperature spectrum of the critical location of the turbine blade is extracted from the engine QAR data using the empirical models, the cumulative damage of the blade is estimated through the life consumption model, and further the remaining useful life can be predicted. A simulation case study is carried out to validate the proposed method. Although the method is developed based on the creep damage accumulation, it might be extended to take thermal mechanical fatigue and creep-fatigue interaction into account.

Key words: civil aircraft engine, field failure data, QAR data, remaining useful life, turbine blade

SUN Jianzhong, ZUO Hongfu, LIANG Kun. Remaining Useful Life Estimation Method 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.

References

[1] 苏清友. 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. Guide on the life prediction of the critical components of the turbo jet and turbofan [M]. Beijing：Aviation Industry Press，2004.
[2] ABDUL GHAFIR M F，LI Y G，WAHAB A A，et al. Impact of operating and health condition on a helicopter turbo-shaft hot section component using creep factor[J]， Applied Mechanics and Materials，2012，225：239-244.
[3] NAEEM M. Implications of day temperature for a high-pressure-turbine blade’s low-cycle-fatigue life consumption[J]. Journal of Propulsion and Power，2008，24(3)：624-628.
[4] NAEEM M. Implications of day temperature variation for an aero-engine’s HP turbine-blade's creep life- consumption[J]. Aerospace Science and Technology，2009，13(1)：27-35.
[5] 孙见忠，左洪福. 使用条件对民航发动机涡轮叶片蠕变寿命的影响分析[J].中国机械工程，2014，25(11)：1511-1516.SUN Jianzhong，ZUO Hongfu. Impacts of operating and health conditions on civil aircraft engine turbine blade creep life [J]. China Mechanical Engineering，2014，25(11)：1511-1516.
[6] BAGNALL S M，SHAW D L，MASON-FLUCKE J C. Implications of ‘Power by the Hour’ on turbine blade lifing[C/CD]//The RTO AVT Specialists’ Meeting on “Design for Low Cost Operation and Support”，Ottawa，Canada，October 21-22，1999.
[7] PARTHASARATHY G，MENON S，RICHARDSON K， et al. Neural network models for usage based remaining life computation[J]. ASME Journal of Engineering for Gas Turbines and Power，2008，130(1)：012508(1-7).
[8] 夏毅锐，徐可君，王永旗. 基于某型航空发动机飞行参数的涡轮转子叶片疲劳/持久寿命分析[J]. 应用力学学报，2011，28(2)：177-184. XIA Yirui，XU Kejun，WANG Yongqi. Turbine rotor blade fatigue/creep life prediction based on the flight parameters for an airplane [J]. Chinese Journal of Applied Mechanics，2011，28(2)：177-184.
[9] 高勇，王延荣. 涡轮转子叶片低循环疲劳/蠕变寿命的预测[J]. 燃气涡轮实验与研究，2005，18(2)：23-25. GAO Yong，WANG Yanrong. Low cycle fatigue/creep life prediction for turbine rotor blade[J]. Gas Turbine Experiment and Research，2005，18(2)：23-25.
[10] 杨自春，申文才，彭茂林. 随机环境下涡轮盘-片剩余寿命预测方法[J]. 航空动力学报，2009，24(8)：1677-1683.YANG Zichun，SHEN Wencai，PENG Maolin. Research on residual life prediction of turbine blade-disc under radon environment [J]. Journal of Aerospace Power，2009，24(8)：1677-1683.
[11] ZARETSKY E V，LITT J S，HENDRICKS R C，et al. Determination of turbine blade life from engine field data [J]. Journal of Propulsion and Power，2012，28(6)：1156-1167.
[12] AN D，CHOI J，KIM N H，et al. Fatigue life prediction based on Bayesian approach to incorporate field data into probability model [J]. Structural Engineering and Mechanics，2011，37(4)：427-442.
[13] 赵廷渝. 涡轮风扇发动机减推力起飞必要性分析[J]. 中国民航学院学报，2005，23(3)：6-8.ZHAO Tingyu. Necessity analysis of reduced-thrust taking-off of turbofan engines [J]. Journal of Civil Aviation University of China，2005，23(3)：6-8.
[14] 《中国航空材料手册》编辑委员会. 《中国航空材料手册》第2卷-变形高温合金，铸造高温合金[S]. 北京：中国标准出版社，2001.Aerial Material Manual of China Editorial Board. Aerial material manual of China volume 2- wrought superalloy and cast superalloy[S]. Beijing：China Standard Press，2001.
[15] 付娜. 某航空发动机涡轮盘和叶片的强度分析与寿命计算[D]. 西安：西北工业大学，2006.FU Na. Strength analysis and life prediction of the turbine disc and blade for a gas turbine [D]. Xi’an：Northwestern Polytechnical University，2006.
[16] 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，2006.ZHOU Changchun. Study on the issue of the overheat of the civil aircraft engine and the prevention of overheat in operation [D]. Xi’an：Northwestern Polytechnical University，2006.
[17] 陈学东，范志超，陈凌，等. 三种疲劳蠕变交互作用寿命预测模型的比较及其应用[J]. 机械工程学报，2007，43(1)：62-68.CHEN Xuedong，FAN Zhichao，CHEN Ling，et al. Comparison among three fatigue-creep interaction life prediction models and their applications[J]. Chinese Journal of Mechanical Engineering，2007，43(1)：62-68.
[18] 林杰威，张俊红，张桂昌，等. 基于连续非线性损伤的航空发动机叶片疲劳研究[J]. 机械工程学报，2010，46(18)：66-70.LIN Jiewei，ZHANG Junhong，ZHANG Guichang，et al. Study on fatigue damage of aero-engine blade based on non-linear continuum damage model [J]. Journal of Mechanical Engineering，2010，46(18)：66-70.