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Fatigue life prediction of turbine blades based on a modified equivalent strain model

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Abstract

Mean stress is known to exert significant effects on fatigue life prediction. Although numerous adjustments have been developed to explain the influence of mean stress, only a few of such adjustments account for mean stress sensitivity. The Smith-Watson-Topper (SWT) model is one of the most widely used models that can provide satisfactory predictions. It is regarded as a case of a Walker model when the material parameter γ = 0.5. The Walker equation considers the mean stress effect and sensitivity, and it can generate accurate predictions in many fatigue programs. In this work, a modified model that accounts for the mean stress effect and sensitivity is proposed to estimate fatigue life. Several sets of experimental data are used to validate the applicability of the proposed model. The proposed model is also compared with the SWT model and the Morrow model. Results show that the proposed model yields more accurate predictions than the other models. The proposed model is applied to predict the fatigue life of a low-pressure turbine blade.

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Authors and Affiliations

  1. Center for System Reliability and Safety, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, China

    Jie Zhou, Hong-Zhong Huang & Zhaochun Peng

Authors
  1. Jie Zhou
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  2. Hong-Zhong Huang
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  3. Zhaochun Peng
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Corresponding author

Correspondence to Hong-Zhong Huang.

Additional information

Recommended by Associate Editor Yang Zheng

Jie Zhou is currently a Ph.D. candidate in Mechanical Engineering at the University of Electronic Science and Technology of China. He obtained his B.S. in Mechanical Design, Manufacturing, and Automation from the University of Electronic Science and Technology of China in 2013. His research interests include fatigue life prediction and fatigue reliability analysis.

Hong-Zhong Huang is a Professor of the School of Mechanical, Electronic, and Industrial Engineering at the University of Electronic Science and Technology of China. He has held visiting appointments at several universities in the USA, Canada, and Asia. He obtained his Ph.D. degree in Reliability Engineering from Shanghai Jiaotong University, China, and he has published 200 journal papers and 5 books in the fields of reliability engineering, optimization design, fuzzy sets theory, and product development.

Zhaochun Peng is currently a Ph.D. candidate in Mechanical Engineering at the University of Electronic Science and Technology of China. He obtained his B.S. in Mechanical Design, Manufacturing, and Automation from the University of Electronic Science and Technology of China in 2011. His research interests include fatigue life prediction and fatigue reliability analysis.

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Zhou, J., Huang, HZ. & Peng, Z. Fatigue life prediction of turbine blades based on a modified equivalent strain model. J Mech Sci Technol 31, 4203–4213 (2017). https://doi.org/10.1007/s12206-017-0818-5

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  • DOI: https://doi.org/10.1007/s12206-017-0818-5

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