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Iron & Steel Technology Feature Articles

October 2022

Development of Nanoprecipitation-Strengthened Cold-Rolled Batch Annealed HSLA Sheet Steels (>490 MPa Yield Strength) With Superior Formability by Big River Steel, a U. S. Steel Company  (AISTech 2022)

Production of Steel Heavy Plates up to 100 mm by TMCP With Accelerated Cooling at NLMK DanSteel by NLMK DanSteel  (AISTech 2022) 

Role of Microstructure and Texture Synergy on Low-Temperature Toughness of Heavy-Gauge Line Pipe Steels by EVRAZ Inc. North America  (AISTech 2022)

Identification of Microstructural Constituents Based on Hardness Measurements Results by Steel Dynamics Inc. – Flat Roll Group Columbus Division (AISTech 2022)

Prediction Model of Hot-Rolled Coil Temperature and Phase Transformation Applied Local Heat Flux Considering Coil Shape by Kobe Steel Ltd. (AISTech 2022)

Digital Transformations:
Fully Automated In-Line Stand Condition Monitoring for Enhanced Roll Gap Measurement and Control in Continuous Casting by Sarclad Ltd.


Turn-Up and Turn-Down Analysis at Roughing Mill Vertical Scalebreaker by ArcelorMittal Global R&D and Cleveland-Cliffs Steel LLC  (AISTech 2022)

Effect of Plate Rolling Strategy and Nb Microalloying in the HAZ Performance After Welding by CEIT and University of Navarra, Tecnun; JFE Steel Corp.; DGS Metallurgical Solutions Inc.; and CBMM Asia  (AISTech 2022) 

Importance of Roll Oxide to Increase Roll Life in a Hot Rolling Mill by CRMGroup and ArcelorMittal Global R&D – Hamilton  (AISTech 2022)

Various Strategies for the Distribution of Reductions in the Finishing Stands of a Hot Rolling Mill by U. S. Steel Research and Technology Center  (AISTech 2022)

Safety First:
Safety Culture During a Merger by California Steel Industries


Practical Overview of Augmented Reality for Worker Development, Safety and Skills Retention by Star Tool  (AISTech 2022)

Enhanced Digital Twin Solution for Continuous Casting by Center for Innovation Through Visualization and Simulation, Purdue University Northwest; and Cleveland-Cliffs Burns Harbor  (AISTech 2022) 

Application Bottleneck and Optimization of Big Data Technology in Blast Furnace Ironmaking by North China University of Science and Technology and HBIS Group Co. Ltd.  (AISTech 2022)

Machine-Learning Model for Hydrogen Content Estimation During the Vacuum Degassing Process by ECON Tech and Frisa Steel  (AISTech 2022)

Detection of Stirring at Low Flow Rates Using Acoustic Sensors by Swinburne University of Technology and the University of Melbourne  (AISTech 2022)

A Foundation for Data Analytics in Manufacturing Using ibaPDA and Open-Source Machine Learning Tools by Gerdau Special Steel North America (AISTech 2022)

Safety First:
Implementation of New Safety Protocols by Cleveland-Cliffs Burns Harbor

Digital Transformations:
Autonomous Trimming and Sampling of Wire Rod Coil Head and Tail by AIC North America Corp. and Automazioni Industriali Capitanio