AI in CNC Machining Optimization and Tool-Wear Prediction Abstract This seminar paper presents an in-depth discussion on AI in CNC Machining Optimization and Tool-Wear Prediction. The role of Artificial Intelligence (AI) and Machine Learning (ML) in monitoring, analysing, and improving mechanical systems is explored. Key principles, architecture, algorithms, applications, advantages, challenges, case studies, and future directions are highlighted in this work. Introduction Condition monitoring and control of mechanical systems play a vital role in increasing system reliability, safety, and availability. Traditional mechanical engineering methods are now enhanced by data-driven AI models to detect faults automatically and improve performance. Technology Background Mechanical components such as bearings, gears, shafts, engines, and turbines experience continuous stress and wear during operation. Sensors such as accelerometers, thermocouples, current sensors, and vibratio...
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