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R&D

Product Improvment

Optimization of ferroalloy consumption for a steel production company

Optimization of ferroalloy consumption for a steel production company

For:
Steelmaking, steel industry
Goal:
Other
Problem addressed
Reducing the use of ferroalloys in metallurgical plants while maintaining alloy
quality standards for steel. Improving production efficiency.
Scope of use case
Recommendation for the optimal consumption of ferroalloys by the ladle furnace
treatment during secondary steelmaking.
Description
Datana Smarts application area concerns manufacturing
process optimization. The solution increases equipment
productivity largely removes the human factor, and reduces
energy and material resource consumption.
Joint usage of physico-chemical technological models and
machine learning models cancels mutual disadvantages and
strengthens the advantages of the models.
Datana Smart uses historical data, including:
steel grades specifications;
results of chemical analyses;
chemical composition requirements and standards for
ferroalloy use.
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Machine Learning
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