Generation and Application Evaluation of Intelligent Numerical Control Programming Strategy for Domestic CAM System Integrated with AI Technology
Download PDF

Keywords

Domestic CAM system
Intelligent CNC programming strategy
Technology ecosystem construction

DOI

10.26689/jera.v9i7.13612

Submitted : 2025-12-30
Accepted : 2026-01-14
Published : 2026-01-29

Abstract

Domestic CAM systems integrated with AI technology have made significant progress in the generation and application evaluation of intelligent CNC programming strategies. Machine learning and knowledge graphs assist in strategy generation, including process parameter optimization. System development requires designing architectures and building knowledge bases. Comparative analysis is used to verify its efficiency and quality. Although facing constraints such as standards and talent, they have brought about changes in intelligent manufacturing. In the future, cooperation between industry, academia, and research, as well as talent cultivation, should be strengthened.

References

Liu Z, 2023, Research and Application of Medical Health Risk Assessment Model Based on AI Technology, thesis, Xinjiang University.

Li X, 2021, Research on Language Resource Integration Strategies and Methods Based on Answer Set Programming, thesis, Southeast University.

Tan X, 2021, Research on the Design and Application of AI Block Programming Teaching for Elementary Schools Focusing on Computational Thinking, thesis, Qufu Normal University.

Li L, 2022, Design and Implementation of Virtualization System for Application Layer of Domestic Smart Chip, thesis, University of Chinese Academy of Sciences.

Wei X, 2023, Establishment and Clinical Application of an AI Assessment System for Facial Expression Recognition of Adult Pain, thesis, Xi’an Medical University.

Huang H, 2022, Key Technologies and Applications of UG/CAM CNC Lathe Programming and Machining. China Metal Bulletin, 2022(6): 45–47.

Liu F, 2022, Application of SolidWorks CAM Automatic Programming in CNC Machining of Rolls. Henan Metallurgy, 30(4): 52–55.

Wang J, Bi X, Huang J, et al., 2023, Intelligent Machining System for CNC Machine Tools based on “Mechanism + AI” and its Application. Artificial Intelligence, 7(2): 88–95.

Yu K, 2024, Generative AI Driving Industrial Intelligence: Application Status and Deployment Strategy. Digital Economy, 2024(3): 34–40.

Lu Q, Zhang G, Shi D, et al., 2021, Integration and Application of Real-time Online Flow Monitoring Based on AI Intelligent Image Recognition Technology. Water Resources and Hydropower Express, 42(9): 96–100.