A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades
AbstractCombined 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
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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.
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.Chicago/Turabian Style
Zhu, Shun-Peng; Yue, Peng; Yu, Zheng-Yong; Wang, Qingyuan. 2017. "A Combined High and Low Cycle Fatigue Model for Life Prediction of Turbine Blades." Materials 10, no. 7: 698.
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