Iron & Steel Technology Feature Articles

October 2024

Development of Nanoprecipitation-Strengthened Cold-Rolled Batch-Annealed HSLA Coated and Uncoated Sheet Steels (>550 MPa Yield Strength) With Superior Formability by Big River Steel – A U. S. Steel Co. (AISTech 2024)

Improvements in Process Practices With a Focus on Reduction of Slivers in Ultralow-Carbon Automotive Exposed Application Grades at Ternium Brasil by Ternium Brasil (AISTech 2024) 

Innovative Non-Radioactive Steel Level Control for Open-Stream Casting by Ergolines Lab s.r.l. (AISTech 2024)

Effect of Casting Speed on the Inclusion Distribution in a LCAK Steel Rolled Plate Produced by the MCCR Process by Yanshan University, University of Science and Technology Beijing, North China University of Technology and Shougang Group Co. Ltd. (AISTech 2024)

The Study of the Behavior of CaO-SiO2-Al2O3-Na2O-Based Mold Flux in 1,400ºC by a Fiber-Optic Raman Sensor by Missouri University of Science and Technology (AIST Transactions)  (AISTech 2023)

Digital Transformations:

Developing an Intelligent Process-Properties Simulator for Predicting Magnetic Properties of Electrical Steels Through Synthesis of Operational Data by Big River Steel – A U. S. Steel Co.

November 2024

Modeling of Thin-Slab Hot Rolling Technologies by United States Steel Corporation (AISTech 2024) 

Effects of M/A on the Mechanical Properties of Microalloyed Steels by SSAB Americas (AISTech 2024)  

Criteria for Slab Cooling After Continuous Casting by Ternium Brasil (AISTech 2024)

Nucor Brandenburg MultiPlate: The Most Advanced Plate Mill of America by Danieli & C. Officine Meccaniche S.p.A. (AISTech 2024)

Strategies for Testing and Preventing LME for Third-Generation AHSS by voestalpine Stahl GmbH and Johannes Kepler Universität Linz (AIST Transactions)  (AHSS 2023)

Effect of Steel Subsurface Structure on the Liquid Metal Embrittlement Behavior of Third-Generation Advanced High-Strength Steels by ArcelorMittal Global R&D – East Chicago (AIST Transactions)  (AHSS 2023)

Digital Transformations:

Improve Energy Efficiency by Defining the Operating Parameters of a Reheating Furnace Using State-of-the-Art Digital Solutions by Vetta Digital | SMS group

December 2024

Numerical Calculation of Roll Pass Designs for 3-Roll Rolling Mills by University of Duisburg-Essen (AISTech 2024) 

Laboratory Simulation and Characterization of Duplex Laying Head Pipes Thermal Distortions by SMS group Brazil and CIT SENAI (AISTech 2024)  

Advanced Guiding: How to Concurrently Improve Safety, Efficiency and Profitability by Primetals Technologies USA LLC (AISTech 2024)

Defect Detection and Trimming in Wire Rod Mills Driven by Robotics and Computer Vision Technology by Danieli & C. Officine Meccaniche S.p.A. (AISTech 2024)

Development of Prediction Model for Phosphorus Removal During LD/BOF Steelmaking Using Machine Learning Algorithms by University of Toronto (AIST Transactions) 

Localized Carbon Pickup Defect in Ultralow-Carbon Interstitial-Free Steel by Cleveland-Cliffs Inc. (AIST Transactions) 

Digital Transformations:

Simulation of Secondary Metallurgical Processes by Using Computational Thermodynamics and Comprehensive Statistical Learning Methods by K1-MET GmbH, Montanuniversität Leoben and voestalpine Stahl GmbH

January 2025

CFD Modeling of the Refining Process in an Industry-Scale Electric Arc Furnace: Analysis of Decarburization Efficiency and Model Validation by Center for Innovation through Visualization and Simulation and Steel Manufacturing Simulation and Visualization Consortium (SMSVC)/Purdue University Northwest (AISTech 2024) 

Effect of Ti on Phase Transformation and Grain Evolution in Nb/V Microalloyed Steel by Missouri University of Science and Technology (AISTech 2024)  

Stirring Efficiency Generated by Electromagnetic Stirring vs. Bottom Gas Stirring for a Giant Electric Arc Furnace — Numerical Simulation Results by ABB (AISTech 2024)

Steel Cleanliness Quantifications in Molten Steel, Slabs and Coils for Process Optimizations by Ternium Brasil and Ternium Mexico (AISTech 2024)

Digital Transformations:

A New On-Line Scrap Quality Prediction System for Improved Raw Material Optimization During EAF Steelmaking by qoncept technology GmbH