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SAFECI

Electrical Conditions in Submerged Arc Furnaces - Identification and Improvement

This program has received funding from The Research Council of Norway.

Project Manager

Duration

54 months (07/2021 to 12/2025)

Web site

Funding

19 mNOK

Partners

6 partners (4 industries, 1 R&D, 1 academic)

Partners

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Main Objectives

Establish a set of scientific tools to reliably identify the electric states in submerge arc furnace processes.

Generic Techologies

• Physics based modelling

• Data driven modelling

• New thermal and magnetic  sensors

Final Exptected Outcome

A sound strategy for early detection of suboptimal electrical states to allow for a rapid transition back to safer and more productive conditions. More efficient and robust control strategies. Online simulators for training purposes.

Keywords

• Electrical conditions

• Metamodeling

• Control strategies

Presentation in PowerPoint

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