About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Measurement & Control of High Temperature Processes
|
| Presentation Title |
Data Driven Furnace Performance Management for Electric Arc Furnaces – A Case Study |
| Author(s) |
Afshin Sadri, Mike Mosnier, Wai Lai (Winnie) Ying, Peter Moodley, Bien Ferrer, Dusan Pjevac |
| On-Site Speaker (Planned) |
Afshin Sadri |
| Abstract Scope |
This paper presents the results of a nondestructive testing and monitoring program conducted on the refractory linings and cooling elements of two electric arc furnaces spanning from 2017 to 2025. The furnaces, operating under demanding thermal and mechanical conditions, feature distinctly different geometrical configurations: one with a circular and the other with a rectangular crucible design. Both furnace refractory linings and cooling plates were periodically inspected using Acousto Ultrasonic-Echo (AU-E) and Ultrasonic Testing (UT) methods.
The paper documents the progression of refractory wear and the condition of cooling elements throughout each furnace campaign. Emphasis is placed on a comparative analysis of wear mechanisms and refractory wear trends across the two furnace geometries. The data enabled the Asset Performance Management (APM) team to make informed, proactive maintenance decisions and perform accurate campaign life assessments. Findings underscore the critical value of continuous, high-resolution monitoring in improving furnace reliability and efficiency. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Pyrometallurgy, Extraction and Processing, Copper / Nickel / Cobalt |