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<p>The machining accuracy control of honing 9310 steel thin-walled components (e.g., helicopter tail drive shafts) remains challenging owing to complex abrasive-workpiece interactions. This paper proposes a modeling approach that integrates abrasive machining theory with kinematic analysis. A novel honing-stone machining simulation model was developed based on the abrasive machining theory, enabling the accurate prediction of key parameters, including the number of effective abrasive grains, depth of cut, and tangential force under varying normal forces. By incorporating the honing stone trajectories, a diameter increment distribution model was established, achieving a prediction error of 9.74% compared with experimental measurements. To address the axial nonuniformity, an adaptive reciprocation-speed optimization method reduced the average cylindricity error by 28.1%. These findings provide a robust theoretical foundation for the next generation of honing technologies, offering practical solutions for enhancing precision in critical components, such as helicopter drive shafts.</p>

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Integration of abrasive machining theory and motion compensation strategies for honing of 9310 steel

  • 期刊论文

  • 发表日期：

    2026年6月3日

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  • Ying-Ying Yuan,
  • Chang-Yong Yang,
  • Peng Wang,
  • Peng-Yu Zhang,
  • Yu-Can Fu,
  • Jiu-Hua Xu,
  • Wen-Feng Ding,
  • Yong-Chun Sun

摘要

The machining accuracy control of honing 9310 steel thin-walled components (e.g., helicopter tail drive shafts) remains challenging owing to complex abrasive-workpiece interactions. This paper proposes a modeling approach that integrates abrasive machining theory with kinematic analysis. A novel honing-stone machining simulation model was developed based on the abrasive machining theory, enabling the accurate prediction of key parameters, including the number of effective abrasive grains, depth of cut, and tangential force under varying normal forces. By incorporating the honing stone trajectories, a diameter increment distribution model was established, achieving a prediction error of 9.74% compared with experimental measurements. To address the axial nonuniformity, an adaptive reciprocation-speed optimization method reduced the average cylindricity error by 28.1%. These findings provide a robust theoretical foundation for the next generation of honing technologies, offering practical solutions for enhancing precision in critical components, such as helicopter drive shafts.