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A digital solution for CPS-based machining path optimization for CNC systems

Author

Listed:
  • Lipeng Zhang

    (University of Chinese Academy of Sciences
    Shenyang Institute of Computing Technology Chinese Academy of Sciences)

  • Haoyu Yu

    (University of Chinese Academy of Sciences
    Shenyang Institute of Computing Technology Chinese Academy of Sciences)

  • Chuting Wang

    (University of Chinese Academy of Sciences
    Shenyang Institute of Computing Technology Chinese Academy of Sciences)

  • Yi Hu

    (University of Chinese Academy of Sciences
    Shenyang CASNC Technology Co., Ltd.)

  • Wuwei He

    (University of Chinese Academy of Sciences
    Shenyang Institute of Computing Technology Chinese Academy of Sciences)

  • Dong Yu

    (University of Chinese Academy of Sciences)

Abstract

In recent years, the deep integration of advanced information technology and advanced manufacturing technology has gradually become one of the main ways to achieve smart manufacturing. The computer numerical control (CNC) system is the basic equipment for machining and manufacturing, and the quality and efficiency of the system’s machining are the basis for supporting and ensuring smart manufacturing. However, the G-code used in CNC machining is usually generated with computer-aided manufacturing (CAM) according to a static model, and its tool path is relatively rough, with uneven adjacent paths and bad points in the path causing machining defects. To solve these problems, a modeling approach combining the basic elements of the intelligent CNC system with the human-cyber-physical system (HCPS) model is proposed, and a digital solution for tool path optimization is further proposed, integrating the redesign process of CAM tool path into cyber application. In addition, the process of tool path optimization is processed in steps, and a pipelined processing flow is established to accelerate the optimization process. Finally, the effectiveness of the proposed method is demonstrated using an example of process file optimization for a pentagram convex rib model.

Suggested Citation

  • Lipeng Zhang & Haoyu Yu & Chuting Wang & Yi Hu & Wuwei He & Dong Yu, 2025. "A digital solution for CPS-based machining path optimization for CNC systems," Journal of Intelligent Manufacturing, Springer, vol. 36(2), pages 1261-1290, February.
    • Handle: RePEc:spr:joinma:v:36:y:2025:i:2:d:10.1007_s10845-023-02289-9
    DOI: 10.1007/s10845-023-02289-9
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