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Study on dynamic performance and optimal design for differential gear train in wind turbine gearbox

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  • Wang, Cheng

Abstract

The differential gear train is a common component in wind turbine gearboxes. Investigating the dynamic performance of the gear train is crucial for improving its transmission capabilities. Unlike planetary and compound gear train, there has been relatively little research on differential gear train. Additionally, transmission efficiency is a critical performance metric for gear train, while addressing volume constraints remains a significant challenge in gear research. Currently, there is a lack of relevant research on dynamic transmission efficiency and precise volumetric modeling for differential gear train. Therefore, this paper introduces a high power density design approach for the differential gear train, utilizing the analysis of its dynamic performance. Practical application is demonstrated through two examples. In the first example, the system achieved a 26.32 % reduction in power loss, a 35.44 % decrease in volume, and a maximum root mean square reduction of 12.4 % in component vibration acceleration. In the second example, the system achieved a 19.21 % reduction in power loss, a 41.07 % decrease in volume, and a maximum root mean square reduction of 103.4 % in component vibration acceleration. This research establishes a solid foundation for improving dynamic performance, reducing energy consumption, and minimizing volume in helical differential gear train.

Suggested Citation

  • Wang, Cheng, 2024. "Study on dynamic performance and optimal design for differential gear train in wind turbine gearbox," Renewable Energy, Elsevier, vol. 221(C).
    • Handle: RePEc:eee:renene:v:221:y:2024:i:c:s0960148123016919
    DOI: 10.1016/j.renene.2023.119776
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    References listed on IDEAS

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    1. He, Guolin & Ding, Kang & Wu, Xiaomeng & Yang, Xiaoqing, 2019. "Dynamics modeling and vibration modulation signal analysis of wind turbine planetary gearbox with a floating sun gear," Renewable Energy, Elsevier, vol. 139(C), pages 718-729.
    2. Liu, Xianzeng & Yang, Yuhu & Zhang, Jun, 2018. "Resultant vibration signal model based fault diagnosis of a single stage planetary gear train with an incipient tooth crack on the sun gear," Renewable Energy, Elsevier, vol. 122(C), pages 65-79.
    3. Zhu, Caichao & Xu, Xiangyang & Liu, Huaiju & Luo, Tianhong & Zhai, Hongfei, 2014. "Research on dynamical characteristics of wind turbine gearboxes with flexible pins," Renewable Energy, Elsevier, vol. 68(C), pages 724-732.
    4. Li, Zhanwei & Wen, Binrong & Wei, Kexiang & Yang, Wenxian & Peng, Zhike & Zhang, Wenming, 2020. "Flexible dynamic modeling and analysis of drive train for Offshore Floating Wind Turbine," Renewable Energy, Elsevier, vol. 145(C), pages 1292-1305.
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