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Modification optimization-based fatigue life analysis and improvement of EMU gear

Yong-Hua Li (School of Locomotive and Rolling Stoch Engineering, Dalian Jiaotong University, Dalian, China)
Chi Zhang (School of Locomotive and Rolling Stoch Engineering, Dalian Jiaotong University, Dalian, China)
Hao Yin (School of Locomotive and Rolling Stoch Engineering, Dalian Jiaotong University, Dalian, China)
Yang Cao (School of Locomotive and Rolling Stoch Engineering, Dalian Jiaotong University, Dalian, China)
Xiaoning Bai (School of Mechanical Engineering, Dalian Jiaotong University, Dalian, China)

International Journal of Structural Integrity

ISSN: 1757-9864

Article publication date: 24 August 2021

Issue publication date: 28 October 2021

160

Abstract

Purpose

This paper proposes an improved fatigue life analysis method for optimal design of electric multiple units (EMU) gear, which aims at defects of traditional Miner fatigue cumulative damage theory.

Design/methodology/approach

A fatigue life analysis method by modifying SN curve and considering material difference is presented, which improves the fatigue life of EMU gear based on shape modification optimization. A corrected method for stress amplitude, average stress and SN curve is proposed, which considers low stress cycle, material difference and other factors. The fatigue life prediction of EMU gear is carried out by corrected SN curve and transient dynamic analysis. Moreover, the gear modification technology combined with intelligent optimization method is adopted to investigate the approach of fatigue life analysis and improvement.

Findings

The results show that it is more corresponded to engineering practice by using the improved fatigue life analysis method than the traditional method. The function of stress and modification amount established by response surface method meets the requirement of precision. The fatigue life of EMU gear based on the intelligent algorithm for seeking the optimal modification amount is significantly improved compared with that before the modification.

Originality/value

The traditional fatigue life analysis method does not consider the influence of working condition and material. The life prediction results by using the method proposed in this paper are more accurate and ensure the safety of the people in the EMU. At the same time, the combination of intelligent algorithm and gear modification can improve the fatigue life of gear on the basis of accurate prediction, which is of great significance to the portability of EMU maintenance.

Keywords

Acknowledgements

The paper is supported by “National Natural Science Foundation of China” (51875073), “Scientific Research Project of Education Department of Liaoning Province” (JDL2019005) and “Dalian Science and Technology Innovation Fund Plan” (2019J11CY017). The author would like to express his gratitude to their support to this research.

Citation

Li, Y.-H., Zhang, C., Yin, H., Cao, Y. and Bai, X. (2021), "Modification optimization-based fatigue life analysis and improvement of EMU gear", International Journal of Structural Integrity, Vol. 12 No. 5, pp. 760-772. https://doi.org/10.1108/IJSI-07-2021-0072

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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