Scale Thickness Prediction for Steel Reheating

Steel scales are iron oxide layers formed on workpieces in high-temperature furnace atmospheres. These scales manifest in three distinct types and influence product quality and descaling complexity, underscoring the importance of minimizing its formation through controlled furnace conditions. The study centers on devising a prediction and quantification tool that assesses scale thickness, growth and proportions of each scale type throughout the reheating process using experimentally derived parabolic equations to form an intuitive calculator. The ultimate vision integrates this tool into large-scale numerical simulations, enhancing its accuracy by dynamically adapting steel surface properties in response to scale accumulation over time.

Misbahuddin Husaini Syed | Purdue University Northwest
 

Abhishek Kalakotla | Purdue University Northwest
 

Nicholas Walla | Purdue University Northwest
 

Armin Silaen | Purdue University Northwest
 

Kurt Johnson | Cleveland-Cliffs Inc.
 

Lawrence Fabina | Cleveland-Cliffs Indiana Harbor
 

Chenn Zhou | Purdue University Northwest