Furnace Optimization With Rapid Slag Profiling and Latest Industrial Trial Results
Laser-induced breakdown spectroscopy (LIBS) is a powerful technology capable of rapid and multielemental analysis of gases, solids and liquids. With minimal sample preparation, it detects and quantifies a wide range of elements, making it a versatile tool for chemical analysis where quick decision-making is crucial. With the incorporation of advanced data processing and machine learning techniques, LIBS enables efficient real-time estimation of material composition. This paper reviews the latest findings from industrial trials of Tenova LIBS and outlines the process from data collection to slag characterization toward optimization of the electric arc furnace.
Authors:
Vittorio Scipolo | Tenova Goodfellow Inc.
Elena Uchiteleva | Tenova Goodfellow Inc.
Sebastian Slaman | Tenova Goodfellow Inc.
Session Chairs:
Antony Faulds | U. S. Steel - Fairfield Works
Bob LaRoy | Steel Dynamics Inc. - Flat Roll Group - Butler
Furnace Optimization With Rapid Slag Profiling and Latest Industrial Trial Results
Category
Paper and Presentation
Description
Session: Electric Steelmaking: Operations II
Track: Electric Steelmaking
Date: 5/5/2025
Session Time: 2:00 PM to 5:00 PM
Presentation Time: 03:00 PM to 03:30 PM
Track: Electric Steelmaking
Date: 5/5/2025
Session Time: 2:00 PM to 5:00 PM
Presentation Time: 03:00 PM to 03:30 PM