Iman Sohrabi Moghadam Chafjiri - Department of Electrical Engineering, Lahijan Branch, Islamic Azad University,Lahijan, Iran,
Hossein Akbarnejad Demouchali - Department of Mechanical engineering, Lahijan Branch, Islamic Azad University,Lahijan, Iran

In the rapidly evolving landscape of manufacturing, the integration of Artificial Intelligence (AI) withComputer Numerical Control (CNC) machining has emerged as a transformative paradigm. Thisarticle delves into the application of AI techniques to CNC systems, exploring their potential toelevate the performance and precision of CNC machines. By harnessing AI's capabilities in dataanalysis, pattern recognition, and real- time decision-making, CNC operations can transcendtraditional limitations. The article highlights how AI augments CNC processes, enabling predictivemaintenance through continuous monitoring of machine conditions. This proactive approachmitigates unplanned downtime, enhancing productivity and cost-efficiency. Furthermore, AI- drivenoptimization algorithms adapt machining parameters dynamically, maximizing material utilizationand minimizing waste. Precision, a cornerstone of CNC machining, receives a significant boost fromAI's ability to identify and compensate for subtle deviations during production. The integration of AIenhances the closed-loop feedback control systems, resulting in superior part accuracy and surfacefinish. Real-world case studies and examples showcase the tangible benefits of AI-CNC fusion. Fromcomplex geometries to intricate toolpath planning, AI optimizes manufacturing sequences, savingtime and resources. Additionally, the article explores the learning curve associated with AI adoption,emphasizing the need for workforce upskilling to fully harness its potential

AI-integrated CNC - Precision manufacturing - Machine optimization-Predictive maintenance - Manufacturing efficiency