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1. 1. Developing a supervised machine learning model for an optimised aluminium addition based on historical data analytics, for clean steelmaking

   Master-uppsats, KTH/Materialvetenskap

   Författare :Arun Kumar Thakur; [2022]
   Nyckelord :Clean steelmaking; Data analytics; De-oxidation; Machine learning; Ren ståltillverkning; Dataanalys; Deoxidation; Maskininlärning;

   Sammanfattning : De-oxidation is an important process in clean steelmaking. Al (Aluminium) is mainly used as de-oxidant and controls the final oxygen content and impact the sulphur removal in steel. Adding optimum amount of Al is critical for steel cleanliness and to reduce cost. LÄS MER