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Artificial Intelligence in Metal Cutting: From Steel to Smart Systems
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This monograph analyzes the evolution of metal cutting technologies through the integration of artificial intelligence, data-driven optimization, and adaptive control. The author examines how machine learning models, sensor-enhanced monitoring, and hybrid human-AI decision systems transform precision cutting, tool wear prediction, process stability, and quality assurance. The book presents conceptual frameworks and practical methodologies that support the transition from traditional steel processing to intelligent, self-optimizing manufacturing systems. It offers a forward-looking perspective on how AI reshapes modern metalworking and enables more efficient, reliable, and high-performance production environments.
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This monograph analyzes the evolution of metal cutting technologies through the integration of artificial intelligence, data-driven optimization, and adaptive control. The author examines how machine learning models, sensor-enhanced monitoring, and hybrid human-AI decision systems transform precision cutting, tool wear prediction, process stability, and quality assurance. The book presents conceptual frameworks and practical methodologies that support the transition from traditional steel processing to intelligent, self-optimizing manufacturing systems. It offers a forward-looking perspective on how AI reshapes modern metalworking and enables more efficient, reliable, and high-performance production environments.
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