Research on strength and fatigue model of circuit breaker energy storage spring based on SVM algorithm

Lingdong Xie; Honghui Zhou; Tielin Zhao; Xibo Zhang; Jianguo Ying; Junhua Wang

doi:10.1117/12.3025994

1 April 2024 Research on strength and fatigue model of circuit breaker energy storage spring based on SVM algorithm

Lingdong Xie, Honghui Zhou, Tielin Zhao, Xibo Zhang, Jianguo Ying, Junhua Wang

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130822E (2024) https://doi.org/10.1117/12.3025994
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

Due to the lack of analysis on the correlation between the action stages of the overall circuit breaker spring operating mechanism, there is a significant error in the analysis of spring strength and fatigue state. Therefore, a study on the strength and fatigue model of circuit breaker energy storage springs based on SVM algorithm is proposed. Based on the composition of the circuit breaker spring operating mechanism, the stress state of the energy storage spring during the circuit breaker action process and its relationship with various mechanisms were analyzed. On the basis of adaptive improvement of the SVM algorithm, a strength and fatigue model of the circuit breaker energy storage spring was constructed. In the test results, the design model shows that the error in the stress intensity analysis of the spring mechanism used in road vehicles with different spring pull rod outer diameter settings is stable within 8.0MPa, and the error in the fatigue life factor analysis is always stable within 0.3.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lingdong Xie, Honghui Zhou, Tielin Zhao, Xibo Zhang, Jianguo Ying, and Junhua Wang "Research on strength and fatigue model of circuit breaker energy storage spring based on SVM algorithm", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130822E (1 April 2024); https://doi.org/10.1117/12.3025994

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