Tool condition monitoring by quality during the micro milling process by using IoT and AI

Due to the rising usage of sensors and networked equipment in manufacturing, artificial intelligence solutions help extract significant value from extensive data infrastructure. These methods may aid manufacturing sustainability and decision-making. Failure to check tool condition causes a lot of scrap in machining. This work develops an intelligent (IoT) tool condition monitoring system to detect sustainability-related production tradeoffs and optimum machining settings by monitoring machine tool status. A Pareto optimum front visualizes the ideal operating conditions found via evolutionary artificial intelligent (AI) algorithm-based multi-objective optimization.