DEVELOPMENT OF IOT-ENABLED MONITORING SYSTEMS FOR METAL-CUTTING PROCESSES

The integration of Internet of Things (IoT) technology in metal-cutting processes has revolutionized real-time monitoring, predictive maintenance, and process optimization. This study explores the development and implementation of IoT-enabled monitoring systems that leverage advanced sensors, wireless communication networks, and data analytics to enhance machining efficiency, tool longevity, and operational reliability. Key system components, including sensor integration, edge computing, cloud-based analytics, and machine learning algorithms, are examined to highlight their role in improving process control and decision-making. The results demonstrate significant improvements in anomaly detection, predictive maintenance accuracy, and overall manufacturing efficiency, paving the way for smarter and more adaptive machining environments in Industry 4.0.