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Research and application of simulation and optimization for CNC machine tool machining process under data semantic model reconstruction

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Abstract

The digital twin is driving the machine manufacturing and processing workshop to change in the direction of digital intelligence and service. Aiming at the application requirements of virtual simulation monitoring of typical CNC machine tools for the unified interaction and integration of processing and production process data, this paper proposes a development architecture of virtual simulation monitoring and processing process optimization system for CNC machine tools that integrate data, model, communication, and optimization. The data semantic format and data communication are normalized by designing the OPC UA information model of CNC machine tools, modular construction of a three-dimensional digital model, and interactive mapping technology of OPC UA server address space. Virtual simulation visualization and monitoring of CNC machine tools are realized by integrating synchronous simulation modeling, collision detection, and viewpoint control technologies. Building upon this foundation, the control process of the CNC machine tool machining cell is optimized using ECRS and lean production methods. The application focuses on a typical flexible manufacturing cell (FMC) in a machine tool processing and manufacturing workshop. The development of the virtual simulation visualization monitoring system for FMC addresses challenges such as heterogeneous data interaction, sharing, and integration difficulties across multiple heterogeneous equipment. The system successfully fulfills all required functions, and the optimization of the CNC machine tool machining unit’s control process has enhanced equipment utilization and productivity. This solution effectively supports the realization of intelligent manufacturing services, including standardized data-driven digital twins.

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Funding

This project was supported by the Fund for Young Science and Technology Talents of Luzhou City, China (Grant No. 2023RQN181) and the Fund for Sichuan Vocational College of Chemical Industry Key Subjects, China (Grant No. SCHYA-2023-06).

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Author notes

  1. Xiumin Zou, Hongmei Hao, Peng Hou, and Yu Huang contributed equally to this work.

Authors and Affiliations

  1. College of Mechanical Engineering, Sichuan Vocational College of Chemical Industry, Luzhou, 646000, China

    Fei Hu, Xiumin Zou & Hongmei Hao

  2. College of Mechanical Engineering, Sichuan University of Science & Engineering, Yibin, 644000, China

    Fei Hu, Peng Hou & Yu Huang

Authors
  1. Fei Hu
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  2. Xiumin Zou
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  3. Hongmei Hao
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  4. Peng Hou
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  5. Yu Huang
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Contributions

All authors contributed to the study’s conception and design, data processing, and system development. All authors read and approved the final manuscript.

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Correspondence to Fei Hu.

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Hu, F., Zou, X., Hao, H. et al. Research and application of simulation and optimization for CNC machine tool machining process under data semantic model reconstruction. Int J Adv Manuf Technol 132, 801–819 (2024). https://doi.org/10.1007/s00170-024-13415-z

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