Dynamic Heat Flow and Current Distribution Analysis in the Bottom Anode of an Electric Arc Furnace Using Fiber-Optic Sensors

Monitoring bottom anode wear in DC electric arc furnaces (DC-EAF) is crucial for safe and efficient steel production. Misestimating wear risks safety or costly premature replacement. Previously, fiber-optic sensors were used to create a temperature map for anode health monitoring. This work examines heat flow and current density in anode pins to predict wear, steel penetration, and refractory erosion. Small temperature variations from joule heating reveal local current flows, offering a real-time view of dynamic, nonuniform current distribution in the bottom anode during EAF operation, which can impact wear.

Authors:

Yeshwanth Reddy Mekala | Missouri University of Science and Technology
 

Ogbole C. Inalegwu | Missouri University of Science and Technology
 

Zane Voss | Continuous Improvement Experts
 

Jie Huang | Missouri University of Science and Technology
 

Jeffrey D. Smith | Missouri University of Science and Technology
 

Ronald J. O'Malley | Missouri University of Science and Technology
 

Session Chairs:

Matthew McKenna | Tokai Carbon GE LLC
 

Kyle Vanover | Steel Dynamics Inc. - Flat Roll Group - Butler