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<p>The load-sharing characteristics of planetary gear sets, influenced by various manufacturing errors, are critical to transmission efficiency, load capacity, and service life. However, improving load sharing by merely enhancing machining accuracy remains both challenging and costly. In this study, a nonlinear dynamic model incorporating time-varying meshing stiffness is developed to investigate the effects of manufacturing errors on load-sharing behavior. A comprehensive circumferential position error, defined as the circumferential components of multiple manufacturing errors, is introduced to characterize load-sharing performance. The results show that fluctuations in the load-sharing factor exhibit an approximately linear relationship with the magnitude of manufacturing errors. By selecting and matching components to minimize comprehensive circumferential position error, the load sharing characteristics can be significantly improved.</p>

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Error compensation method in planetary gear set assembly based on nonlinear dynamic model

  • 期刊论文

  • 发表日期：

    2026年2月9日

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  • Lei Meng,
  • Long Yuan,
  • Ping Zhou

摘要

The load-sharing characteristics of planetary gear sets, influenced by various manufacturing errors, are critical to transmission efficiency, load capacity, and service life. However, improving load sharing by merely enhancing machining accuracy remains both challenging and costly. In this study, a nonlinear dynamic model incorporating time-varying meshing stiffness is developed to investigate the effects of manufacturing errors on load-sharing behavior. A comprehensive circumferential position error, defined as the circumferential components of multiple manufacturing errors, is introduced to characterize load-sharing performance. The results show that fluctuations in the load-sharing factor exhibit an approximately linear relationship with the magnitude of manufacturing errors. By selecting and matching components to minimize comprehensive circumferential position error, the load sharing characteristics can be significantly improved.