Design and manufacturing of mechanical parts based on CAD and CAM technology

Abstract This paper comprehensively discusses the core applications and innovation strategies of CAD/CAM technology in mechanical parts manufacturing, with a special focus on automatic path planning, CNC programming, multi-axis and high-speed machining technology, as well as intelligent upgrading of quality control and production management. By introducing advanced models such as Deep Graph Neural Reinforcement Learning Path Planner (DGNet-RPP), it demonstrates how to utilize the fusion of Deep Reinforcement Learning and Graph Neural Network to adaptively optimize the tool path planning of complex parts to ensure machining efficiency and accuracy. Meanwhile, the importance of optimization and post-processing techniques for NC programming, such as simulated annealing and ant colony optimization, is emphasized to improve machining efficiency and code adaptability. The implementation of multi-axis machining and high-speed machining technology has greatly promoted the progress of complex parts machining accuracy and surface quality, especially in high-end manufacturing fields such as aerospace. In addition, the article also explains the key role of CAM systems in quality control and production scheduling, how to ensure the quality of parts through real-time monitoring and data analysis, as well as through advanced planning and scheduling to optimize the production process, reduce costs, and improve market responsiveness.