Enhancing Safety in Electric Arc Furnaces: Early Detection of Water Leaks and Refractory Wear Using Optical Fiber Sensors

This study explores the integration of optical fiber sensors (OFS) in electric arc furnaces for the early detection of water leakages and monitoring of refractory wear and tear in lining bricks, particularly around the burner area. Controlled lab experiments demonstrated the OFS's capability to monitor real-time thermal profiles, detecting water leaks at temperatures exceeding 500°C and identifying signs of refractory degradation. The upcoming industrial trials aim to validate these findings in a live industrial operational environment. The anticipated results are expected to confirm the sensor's efficiency in enhancing safety, reducing maintenance costs and minimizing operational downtime.

Authors:

Mr. Manoj Kumar Pullagura | Missouri University of Science and Technology
 

Mr Rony Kumer Saha | Missouri University of Science and Technology
 

Mr Ogbole Collins Inalegwu | Missouri University of Science and Technology
 

Dr Koustav Dey | Missouri University of Science and technology
 

Mr. Todd Sander | Missouri University of Science and Technology
 

Dr Jie Huang | Missouri University of Science and Technology
 

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

Session Chairs:

Marcelo Cardoso | Gerdau Special Steel North America
 

Arun Chockalingam | Nucor Steel-Decatur LLC
 

Claudia Leal | EAFab Corporation