MetalAI
MetalAI is a term used to describe the application of artificial intelligence and machine learning to metal-related industries and processes. It encompasses the use of AI in mining, smelting and refining, alloy design, metal forming and machining, additive manufacturing with metal powders, and recycling. The goal is to improve efficiency, product quality, and safety by leveraging data-driven models and autonomous systems.
In practice, metalAI covers predictive maintenance of heavy equipment, real-time process control in furnaces and mills,
The term arose in the context of Industry 4.0 and digitalization of heavy industry during the 2010s
Benefits include reduced downtime, lower energy consumption, improved product consistency, and faster development cycles. Challenges include