A Comprehensive Study on Digital Twin Technology for Advanced CNC Machining: Applications, Challenges, And Future Scope

Abstract

Digital twin (DT) technology has emerged as a transformative tool in the manufacturing sector, particularly in computer numerical control (CNC) machining. By creating a virtual replica of a physical system, digital twins enable real-time monitoring, simulation, and optimization of manufacturing processes. This paper provides a comprehensive study of digital twin applications in CNC machining, highlighting its benefits, current challenges, and potential future developments. The study emphasizes the role of digital twins in enhancing production efficiency, predictive maintenance, process optimization, and quality control. While the adoption of DT in CNC machining is promising, challenges such as data integration, high implementation costs, and cyber-security concerns remain significant. Finally, the paper explores future directions where digital twin technology can redefine the CNC machining landscape.

KEYWORDS: Digital Twin, CNC Machining, Manufacturing Optimization, Predictive Maintenance, Process Simulation, Smart Manufacturing, Industrial IoT