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<p>CNC interpolation error analysis plays a critical role in ensuring the machining quality of advanced CNC systems. Addressing this challenge requires robust tools capable of analyzing high-frequency interpolation point data. However, existing research lacks dedicated algorithms tailored to interpolation error analysis in surface machining scenarios. To bridge this gap, this study proposes a reconstruction algorithm for interpolation points, driven by the geometric characteristics of toolpath strategies, to directly reflect interpolation errors on the surface features of the workpiece. These errors are then mapped onto the reconstructed surface as color textures, enabling intuitive visualization and analysis of machining quality. Unlike prior works that rely on complex measurement systems or indirect approximations, this method provides a strategy-driven solution for surface error assessment. Multiple case studies on complex geometries demonstrate the feasibility and engineering applicability of the approach within a customized analysis software platform.</p>

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Interpolation Error Analysis Method for Machining Quality Driven by Toolpath Strategy in Surface Machining

  • 期刊论文

  • 发表日期：

    2026年5月4日

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  • Songyuan Xue,
  • Tianze Qiu,
  • Wenlei Xiao,
  • Sanying Zhu,
  • Gang Zhao

摘要

CNC interpolation error analysis plays a critical role in ensuring the machining quality of advanced CNC systems. Addressing this challenge requires robust tools capable of analyzing high-frequency interpolation point data. However, existing research lacks dedicated algorithms tailored to interpolation error analysis in surface machining scenarios. To bridge this gap, this study proposes a reconstruction algorithm for interpolation points, driven by the geometric characteristics of toolpath strategies, to directly reflect interpolation errors on the surface features of the workpiece. These errors are then mapped onto the reconstructed surface as color textures, enabling intuitive visualization and analysis of machining quality. Unlike prior works that rely on complex measurement systems or indirect approximations, this method provides a strategy-driven solution for surface error assessment. Multiple case studies on complex geometries demonstrate the feasibility and engineering applicability of the approach within a customized analysis software platform.