The State of Integrated CAM/CNC Control Systems: Prior Developments and the Path Towards a Smarter CNC

Area of Science:

• Manufacturing Engineering
• Automation and Control Systems
• Computer-Aided Manufacturing

Background:

• Traditional Computer Numerical Control (CNC) systems rely on G-Code, a 60-year-old programming language with limited data resolution and feedback capabilities.
• Proprietary CNC architectures restrict system expansion and improvement, hindering advanced manufacturing operations.
• Existing data exchange standards like MTConnect and OPC UA operate independently of G-Code, preventing integrated control and data acquisition.

Purpose of the Study:

• To review current data transmission methods for CNC machine tools.
• To explore the state of integrated Computer-Aided Manufacturing (CAM)/CNC systems for enhanced machining process control.
• To identify impediments and future research directions for self-optimizing smart CNC systems.

Main Methods:

• State-of-the-art literature review on data transmission methods for CNC machines.
• Survey of existing integrated CAM/CNC systems and their capabilities.
• Analysis of limitations imposed by G-Code and proprietary CNC architectures.

Main Results:

• Integrated CAM/CNC systems are significantly impeded by current data exchange methods and the closed nature of CNC systems.
• The separation of control and data acquisition pathways in current systems challenges the development of self-optimizing smart manufacturing.
• Existing G-Code limitations and proprietary architectures are key barriers to advanced process control.

Conclusions:

• Addressing limitations in data transmission and CNC system architecture is crucial for advancing integrated CAM/CNC capabilities.
• Future research should focus on developing unified data and control pathways for intelligent manufacturing.
• Overcoming proprietary restrictions and enhancing G-Code's data capacity are essential for self-optimizing smart CNC systems.