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<p>Taps are the primary cutting tools used for internal thread machining, and the geometric parameters of the tap chip flute significantly influence tapping performance. To address the out-of-tolerance geometric parameters caused by forming grinding wheel wear during batch grinding, a mathematical model was established to characterize the relationships among the chip-flute profile and its geometric parameters, the cross-sectional profile of the worn grinding wheel, and its spatial pose. The Non-Dominated Sorting Dung Beetle Optimization (NSDBO) algorithm was employed to minimize the geometric-parameter errors of the flute profile, and the optimal combination of the center distance, eccentric distance, and tilt angle under different grinding wheel wear conditions was determined. A grinding machine model was developed in VERICUT software to perform simulations of tap chip flute grinding, followed by grinding experiments for validation. The results indicate that the proposed method achieves a calculation error of less than 5%, effectively reducing the grinding error of the flute profile while enhancing both the service life and the cross-sectional profile tolerance capability of the forming grinding wheel.</p>

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A wear pose compensation method for forming grinding wheels integrating non-dominated sorting multi-objective optimization

  • 期刊论文

  • 发表日期：

    2026年7月17日

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  • Hao Sun,
  • Siyuan Gao,
  • Jianan Shen,
  • Dongxu Zhao,
  • Minli Zheng,
  • Wei Zhang,
  • Yufei Gu,
  • Tongxuan Xin

摘要

Taps are the primary cutting tools used for internal thread machining, and the geometric parameters of the tap chip flute significantly influence tapping performance. To address the out-of-tolerance geometric parameters caused by forming grinding wheel wear during batch grinding, a mathematical model was established to characterize the relationships among the chip-flute profile and its geometric parameters, the cross-sectional profile of the worn grinding wheel, and its spatial pose. The Non-Dominated Sorting Dung Beetle Optimization (NSDBO) algorithm was employed to minimize the geometric-parameter errors of the flute profile, and the optimal combination of the center distance, eccentric distance, and tilt angle under different grinding wheel wear conditions was determined. A grinding machine model was developed in VERICUT software to perform simulations of tap chip flute grinding, followed by grinding experiments for validation. The results indicate that the proposed method achieves a calculation error of less than 5%, effectively reducing the grinding error of the flute profile while enhancing both the service life and the cross-sectional profile tolerance capability of the forming grinding wheel.