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.