Table of Contents

    • 56

    • Benefits of Usage of Various Models in a Hot Strip Mill

      The importance of having accurate models of a hot strip mill cannot be overestimated. Some models provide means to optimize the throughput while avoiding equipment overloading; to predict roll forces, torques, and power in the roughing and finishing stands; to estimate the minimum time required for cooling of the motors between sequential bars; and to calculate mechanical properties of hot bands coiled at various coiling temperatures. Other models are used to achieve the required flatness and crown specifications of hot bands. This article summarizes successful experiences of United States Steel Corporation in development of such models and their implementation for both off-line and on-line usage.


    • 62

    • Grid-Forming Control Functionality for STATCOMs in Steelmaking Applications

      Grid-forming control concepts have received significant attention in the electrical industry recently, specifically the potential positive impacts on the integration of renewables and transmission/distribution grids. This article provides a description of grid-forming control concepts and analyzes the potential implications of using these concepts in static synchronous compensator (STATCOM) technology used for power quality compliance in the steelmaking process. Topics of analysis include flicker mitigation and harmonics. Recommendations for consideration and best practices to be used in the industry are provided, specifically as it relates to how this control functionality can be adopted for STATCOM in steelmaking applications.


    • 72

    • Steel Works Energy-Saving Strategies Through Artificial Intelligence Techniques

      One of the main challenges in liquid steel production through the electric arc furnace (EAF) route is optimizing energy consumption while maintaining high production and reducing CO2 emissions. This article presents some strategies that apply artificial intelligence in the steel industry as part of Smart Metrix Solutions: the material flow predisposition in the EAF, the temperature prediction in the EAF, the additions optimization in the ladle furnace, as well as the dispatch temperature prediction to the continuous casting machine to optimize superheating. Furthermore, appropriate learning algorithms allow for optimizing processing times, increasing energy efficiency and decreasing emissions.


    • 80

    • Dancing With the Cloud

      The benefits obtained with the use of cloud technologies are not a secret to anyone; however, in the search for those benefits, they can become a headache if four main factors are not taken into consideration: security, cloud service provider, data model, talent/experience and technology providers in the steel industries.


    • 86

    • Evaluation and Improvement Methods of Preparation for a Blast Furnace Taphole Campaign

      The blast furnace works in a countercurrent regime where iron ore and sinter are reduced to hot metal, and slag and gas are produced as well. Its stability depends, among other factors, on good hearth drainage. However, some process imperfections prevent achieving maximum productivity. In this work, 2021 and 2022 hearth drainage data belonging to a 7,000-tons-per-day blast furnace were summarized and interferences were analyzed. An evaluation method was created to lead to the correct parameters obtained that indicate good hearth drainage. With this model, it was possible to evaluate previous campaigns and suggest a taphole preparation scheme that will conduct to a high taphole campaign standard.