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Lifetime prediction for turbine discs based on a modified Walker strain model

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Abstract

We created three-dimensional models of turbine disc and blades of a type of aero-engine according to their geometries. Extant studies show that low cycle fatigue is the main failure mechanism of turbine disc. By using a non-linear elastic-plastic finite element method, the static stress and strain state of the critically high stress regions, which can lead to operational failures, are determined. On the basis of stress-strain relation, a modified Walker strain life prediction model is proposed with no required knowledge on the mean stress correction. Then the predicted life data from the modified Walker strain model are compared with the testing results. After the verification, the modified Walker strain life prediction model and Miner’s rule were applied to predict the lifetime of the turbine disc under various operating conditions.

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Authors and Affiliations

  1. Institute of Reliability Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, China

    Zhiqiang Lv, Hong-Zhong Huang, Huiying Gao, Fang-Jun Zuo & Hai-Kun Wang

Authors
  1. Zhiqiang Lv
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  2. Hong-Zhong Huang
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  3. Huiying Gao
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  4. Fang-Jun Zuo
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  5. Hai-Kun Wang
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Corresponding author

Correspondence to Hong-Zhong Huang.

Additional information

Recommended by Editor Chongdu Cho

Zhiqiang Lv is currently a Ph.D. candidate in Mechanical Engineering at the University of Electronic Science and Technology of China. His research interests concern fatigue life prediction and fatigue reliability.

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 received a Ph.D. in Reliability Engineering from Shanghai Jiaotong University, China and has published in the fields of reliability engineering, optimization design, fuzzy sets theory, and product development.

Huiying Gao is currently a Ph.D. candidate in Mechanical Engineering at the University of Electronic Science and Technology of China. Her research interests include fatigue strength evaluation, fatigue life prediction and fatigue reliability analysis.

Fang-Jun Zuo is a doctoral candidate in University of Electronic Science and Technology of China. Her research interests include fatigue life prediction and design for reliability.

Hai-Kun Wang is currently a Ph.D. candidate in Mechanical Engineering at the University of Electronic Science and Technology of China. He received his M.S. in Vehicle Engineering from the South China University of Technology. His research interests include reliability analysis, maintenance decisions, prognostics and health management.

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Lv, Z., Huang, HZ., Gao, H. et al. Lifetime prediction for turbine discs based on a modified Walker strain model. J Mech Sci Technol 29, 4143–4152 (2015). https://doi.org/10.1007/s12206-015-0908-1

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  • DOI: https://doi.org/10.1007/s12206-015-0908-1

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