AID4GREENEST Project
AID4GREENEST develops AI-powered methods to quickly characterize steel and predict performance. The project applies artificial intelligence, machine learning, and modeling tools to cover steel design, process design, product design, and product performance. It aims to reduce CO2 impact and includes a machine learning tool for predicting creep and a sequential model for microstructure evolution. Results will be validated and shared through an AI-based online platform for knowledge transfer and standardization, with life cycle assessments and market-focused business models. Target markets include hot rolling and forging/quenching for wind energy components.
AID4GREENEST Project
AID4GREENEST develops AI-powered methods to quickly characterize steel and predict performance. The project applies artificial intelligence, machine learning, and modeling tools to cover steel design, process design, product design, and product performance. It aims to reduce CO2 impact and includes a machine learning tool for predicting creep and a sequential model for microstructure evolution. Results will be validated and shared through an AI-based online platform for knowledge transfer and standardization, with life cycle assessments and market-focused business models. Target markets include hot rolling and forging/quenching for wind energy components.