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Article

A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades

1
Center for System Reliability & Safety, University of Electronic Science and Technology of China, Chengdu 611731, China
2
Key Laboratory of Deep Earth Science and Engineering, Ministry of Education, Sichuan University, Chengdu 610065, China
3
School of Architecture and Civil Engineering, Chengdu University, Chengdu 610106, China
*
Author to whom correspondence should be addressed.
Materials 2017, 10(7), 698; https://doi.org/10.3390/ma10070698
Received: 2 May 2017 / Revised: 16 June 2017 / Accepted: 22 June 2017 / Published: 26 June 2017
(This article belongs to the Special Issue The Life of Materials at High Temperatures)
Combined high and low cycle fatigue (CCF) generally induces the failure of aircraft gas turbine attachments. Based on the aero-engine load spectrum, accurate assessment of fatigue damage due to the interaction of high cycle fatigue (HCF) resulting from high frequency vibrations and low cycle fatigue (LCF) from ground-air-ground engine cycles is of critical importance for ensuring structural integrity of engine components, like turbine blades. In this paper, the influence of combined damage accumulation on the expected CCF life are investigated for turbine blades. The CCF behavior of a turbine blade is usually studied by testing with four load-controlled parameters, including high cycle stress amplitude and frequency, and low cycle stress amplitude and frequency. According to this, a new damage accumulation model is proposed based on Miner’s rule to consider the coupled damage due to HCF-LCF interaction by introducing the four load parameters. Five experimental datasets of turbine blade alloys and turbine blades were introduced for model validation and comparison between the proposed Miner, Manson-Halford, and Trufyakov-Kovalchuk models. Results show that the proposed model provides more accurate predictions than others with lower mean and standard deviation values of model prediction errors. View Full-Text
Keywords: turbine blade; combined cycle fatigue; damage accumulation; life prediction; HCF; LCF turbine blade; combined cycle fatigue; damage accumulation; life prediction; HCF; LCF
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MDPI and ACS Style

Zhu, S.-P.; Yue, P.; Yu, Z.-Y.; Wang, Q. A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades. Materials 2017, 10, 698. https://doi.org/10.3390/ma10070698

AMA Style

Zhu S-P, Yue P, Yu Z-Y, Wang Q. A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades. Materials. 2017; 10(7):698. https://doi.org/10.3390/ma10070698

Chicago/Turabian Style

Zhu, Shun-Peng, Peng Yue, Zheng-Yong Yu, and Qingyuan Wang. 2017. "A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades" Materials 10, no. 7: 698. https://doi.org/10.3390/ma10070698

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