<p>Uneven load distribution in ball screws critically affects their stiffness, wear characteristics, and service life. To address this issue, this study proposes an analytical optimization approach incorporating regularized correction of the nut pitch, aiming to improve load uniformity by applying a tailored preload strategy. The method employs polynomial fitting to generate an initial correction curve, which is subsequently refined using the least squares method to ensure modeling accuracy. Simulation results demonstrate that the proposed model significantly reduces load non-uniformity, achieving up to a 72.7% improvement. The model’s accuracy is further validated through numerical simulations and comparative analysis with existing literature. Moreover, the applicability of this method under different working conditions is further analyzed, including the change of nut position, axial load, running distance, and ball turns, which shows the wide engineering application potential of this optimization method.</p>

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Redefining Ball Screw Statics: Reducing Load Fluctuations with a Pitch Correction-Based Optimization Method

  • Jinsong Zhao,
  • Xiaoxuan Gong,
  • Chunyu Zhao,
  • Zhenghong Yao,
  • Mengtao Xu,
  • Chang Liu,
  • Yimin Zhang

摘要

Uneven load distribution in ball screws critically affects their stiffness, wear characteristics, and service life. To address this issue, this study proposes an analytical optimization approach incorporating regularized correction of the nut pitch, aiming to improve load uniformity by applying a tailored preload strategy. The method employs polynomial fitting to generate an initial correction curve, which is subsequently refined using the least squares method to ensure modeling accuracy. Simulation results demonstrate that the proposed model significantly reduces load non-uniformity, achieving up to a 72.7% improvement. The model’s accuracy is further validated through numerical simulations and comparative analysis with existing literature. Moreover, the applicability of this method under different working conditions is further analyzed, including the change of nut position, axial load, running distance, and ball turns, which shows the wide engineering application potential of this optimization method.