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Data-Driven Ladle Reliability Monitoring
Ladles are critical to steelmaking. The industry relies on metrics such as contact time, heat count, hot spot detection, laser thickness checks and visual assessments to manage refractory campaign. Yet relying on these alone can falsely signal ladle lining reliability. For instance, a ladle with 4-inch-thick slag line, as measured by laser, is dependable unless the ladle experienced thermal shock in prior heats, as determined by the process parameters. This presentation will discuss merging critical process, laser and thermal camera data to better forecast ladle health. This enables industry to reliably extend campaign and reduce refractory costs.
Mr. Yakup Bayram | PaneraTech Inc.
Suat Bayram | PaneraTech Inc.
Hande Alp | PaneraTech Inc.
Elif Rana Dama | PaneraTech Inc.
Oncel Turer | PaneraTech Inc.
Mr. Neal Sullivan | Cleveland-Cliffs Research & Innovation Center
Mr. Tyler Richards | Cleveland-Cliffs Research & Innovation Center
Mr. Edward Puskar | Cleveland-Cliffs Inc.
Mr. Steven Asseff | Cleveland-Cliffs Inc.
Mrs. Ruth Engel | Refractory Consulting Services
Data-Driven Ladle Reliability Monitoring
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Paper and Presentation
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Session: Refractory Systems: Digitalization & Sensors Track: Refractory Systems Date: 5/6/2024 Room: A220 Presentation Time: 09:30 AM to 10:00 AM