@inproceedings{221dbed1cae04545b4f583e004e48547,
title = "Lifetime Prediction of Turbine Blade of Turbocharger for Diesel Engine Based on Fatigue and Creep Damage Model",
abstract = "To predict the lifetime of turbocharger turbine blades, a lifetime prediction method based on fatigue-creep damage is proposed. Firstly, by referring to diesel engines on armor vehicles bench test methods, the thermal-structural coupling of a radial turbine blade is analyzed by the finite element method. Based on the stress distribution characteristics of the turbocharger turbine blade, the root of the blade is identified as the dangerous area. Then, the fatigue-creep damage of the turbine blade is calculated and the lifetime is predicted by using the time-life fraction method. Last, the number of the turbine blade's failure cycles is predicted to be 2956 which are equivalent to 591200km mileage. The proposed method provides a reference basis for predicting the working lifetime of the turbine blades and improving their working reliability.",
keywords = "Creep, Fatigue, Lifetime prediction, Thermal-structural coupling analysis, Turbine blade",
author = "Jie Wang and Jingjing Zhang and Wei Zhao and Haiping Dong",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 12th IEEE Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021 ; Conference date: 15-10-2021 Through 17-10-2021",
year = "2021",
doi = "10.1109/PHM-Nanjing52125.2021.9613133",
language = "English",
series = "2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Wei Guo and Steven Li",
booktitle = "2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021",
address = "United States",
}