Volume 40 Issue 1
Jan.  2025
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YE Yuming, WEN Yangyang, WU Fuxian, et al. Method for predicting low cycle fatigue life at various temperatures[J]. Journal of Aerospace Power, 2025, 40(1):20230123 doi: 10.13224/j.cnki.jasp.20230123
Citation: YE Yuming, WEN Yangyang, WU Fuxian, et al. Method for predicting low cycle fatigue life at various temperatures[J]. Journal of Aerospace Power, 2025, 40(1):20230123 doi: 10.13224/j.cnki.jasp.20230123

Method for predicting low cycle fatigue life at various temperatures

doi: 10.13224/j.cnki.jasp.20230123
  • Received Date: 2023-03-03
    Available Online: 2024-06-12
  • Considering the deficiency that the classic models of M-C (Manson-Coffin) and SWT (Smith-Watson-Topper) can only predict the low cycle fatigue life at a fixed temperature, a high-accuracy, strong-generalization modified model for predicting life at various temperatures based on the total strain, plastic strain, maximum stress, and other parameters was proposed. The life prediction results for the nickel-based alloy from room temperature to 923.15 K low cycle fatigue test points showed that 94.74% of the prediction results of the proposed model were distributed in the ±1.5 times scatter band, which were more accurate than the M-C model (82.89%) and the SWT model (86.84%). Simultaneously the modified model was widely generalizable, which was not only capable of accurately predicting the low cycle fatigue life at non-test data points, but also applicable to other hot component materials. Additionally, the proposed model can accurately predict the full-field life of hot components at various temperatures. Full-field life prediction experiments on a gas turbine radial turbine showed that the prediction results were distributed reasonably just like expected trends.

     

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