Control of Metallurgical Processes with indirect measurements and Machine Learning
MetMaskin
The project aims to optimise steel manufacturing process steps through prediction of stirring intensity, which is expected to provide a more efficient steel production that takes place on time and with reduced energy consumption. Prediction of stirring intensity in metallurgical processes is realised by combining the use of measurement technology with signal processing along with machine learning. Better process control is expected to optimise time spent in process steps such as pouring and carbon control in converters.
Metalliska material genom Programkontoret
Swerim AB
Sandvik Materials Technology
Jernkontoret
KUNGLIGA TEKNISKA HÖGSKOLAN
Luleå tekniska universitet
OVAKO SWEDEN AB
Outokumpu Stainless AB
SSAB AB
UDDEHOLMS AB
Funding agency
Vinnova
Beginning and End Dates
November 2018 - October 2022
Contact person
Other information
More information about MetMaskin project is available on Vinnova’s webpage:
