Authors : Vikram Singh, Kiran Sharma
Abstarct: The integration of Artificial Intelligence (AI) into Computer Numerical Control (CNC) machining systems has led to transformative improvements in manufacturing processes. This paper explores recent advancements in AI-driven CNC machining, focusing on their impact on precision and productivity. By incorporating AI algorithms such as machine learning, predictive maintenance, and real-time adaptive control, modern CNC systems are capable of optimizing machining parameters, detecting faults early, and adapting to complex and dynamic operational conditions. The paper discusses key AI technologies, their applications, and the benefits they bring to the manufacturing industry, particularly in industries requiring high precision, such as aerospace and automotive. Case studies and real-world implementations are provided to highlight the potential of AI to enhance both the efficiency and quality of CNC machining operations.
Keywords : AI-driven CNC machining, precision, productivity, machine learning, predictive maintenance, adaptive control, manufacturing industry.
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