中国机械工程 ›› 2026, Vol. 37 ›› Issue (10): 2566-2576.DOI: 10.3969/j.issn.1004-132X.2026.10.019

• 机械基础工程 • 上一篇    下一篇

多工况下风电齿轮箱行星轮滑动轴承耦合系统啮合与润滑分层优化

杜虹汗1, 谭建军1(), 孙义忠2, 宋朝省1, 李浩1, 关远1   

  1. 1.重庆大学高端装备机械传动全国重点实验室, 重庆, 400044
    2.南京高速齿轮制造有限公司, 南京, 211100
  • 收稿日期:2026-05-07 出版日期:2026-10-25 发布日期:2026-11-10
  • 通讯作者: 谭建军
  • 作者简介:杜虹汗,男,2001年生,硕士研究生。研究方向为滑动轴承风电机组传动链动力学
    谭建军*(通信作者),男,1991年生,副研究员。研究方向为齿轮传动系统动力学、减振优化。E-mail:jianjuntan@cqu.edu.cn。
  • 基金资助:
    国家重点研发计划(2022YFB4201100);国家自然科学基金(52475051);重庆市技术创新与应用发展专项重大项目(CSTB2024TIAD-STX0019)

Hierarchical Optimization of Meshing and Lubrication for Planetary Journal Bearing Coupling System in Wind Turbine Gearboxes under Multiple Operating Conditions

DU Honghan1, TAN Jianjun1(), SUN Yizhong2, SONG Chaosheng1, LI Hao1, GUAN Yuan1   

  1. 1.State Key Laboratory of Mechanical Transmission for Advanced Equipment,Chongqing University,Chongqing,400044
    2.Nanjing High-Speed Gear Manufacturing Co. ,Ltd. ,Nanjing,211100
  • Received:2026-05-07 Online:2026-10-25 Published:2026-11-10
  • Contact: TAN Jianjun

摘要:

风电齿轮箱复杂低速重载工况、构件复杂变形及斜齿轮动态啮合弯矩的综合作用易引发滑动轴承边缘接触与齿轮啮合偏载,影响系统可靠性。以某型6 MW级风电滑动轴承齿轮箱为研究对象,考虑行星轮滑动轴承弹流润滑与关键构件变形,建立风电滑动轴承齿轮箱摩擦动力学耦合模型;采用代理模型方法重构多工况-齿轮修形参数-系统响应映射关系,求解最优齿轮修形参数;将优化结果代入动力学耦合模型,重构多工况-滑动轴承参数-系统响应映射关系,求解最优滑动轴承参数,实现先齿轮-后滑动轴承的分层优化,并通过试验进行验证。结果表明:增大输入扭矩会加剧滑动轴承边缘接触与齿轮啮合偏载;仅通过齿轮修形虽然可改善齿面载荷分布,但难以改善滑动轴承边缘接触;先齿轮-后滑动轴承的分层优化策略不仅可以提高优化效率,还可以有效减少滑动轴承边缘接触、增大最小油膜厚度、改善齿面偏载与系统均载性能。

关键词: 风电机组, 齿轮箱, 滑动轴承, 动态特性, 多目标优化

Abstract:

The combined effects of complex low-speed heavy-load conditions, component deformations, and dynamic bending moments from helical gear meshing can easily induce bearing edge contact and gear mesh misalignment, compromising system reliability. Taking a 6 MW wind turbine gearbox with journal bearings as the research object, a tribodynamic coupling model was established considering the elastohydrodynamic lubrication of the planet gear journal bearings and the deformation of key components. Then, a surrogate modeling method was employed to reconstruct the mapping relationships among multiple operating conditions, gear modification parameters, and system responses, and the optimal gear modification parameters were obtained. Finally, the optimized results were substituted into the dynamic coupling model, and the mapping relationships among multiple operating conditions, journal bearing parameters, and system responses were reconstructed to obtain the optimal bearing parameters, thereby achieving a hierarchical optimization in which gears were optimized first followed by journal bearings. The effectiveness of the approach was validated through experiments. The results show that increasing input torque aggravates bearing edge contact and gear mesh misalignment. Gear modification alone improves tooth load distribution but hardly alleviates bearing edge contact. The hierarchical optimization strategy can not only improve optimization efficiency but also effectively reduce bearing edge contact, increase the minimum oil film thickness, and improve tooth load distribution and system load-sharing performance.

Key words: wind turbine, gearbox, journal bearing, dynamic characteristic, multi-objective optimization

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