Conveners
Digital transformation - Steel materials and their application
- Cristian Viscardi (ECOTRE Valente srl)
Digital transformation - Steel materials and their application
- andrea gruttadauria (politecnico di milano)
Description
6.1.5
Reliable carbon footprint calculations and certificates for the various steel products are increasingly demanded by the market. Many approaches are based on yearly production tonnage and average CO2 equivalents. A production management system allows to track the material and energy consumptions for each piece of produced material. Thus, it is able to transparently calculate the related...
The European Green Deal challenges the steel sector to implement breakthrough modifications to significantly decrease its carbon footprint, and European steel producers are planning consistent investments in this direction. Integrated steelworks are particularly affected since, besides production process changes, important modifications are envisaged also for gas and energy management....
We present the open-source planning software DynReAct, which grew out of a research project on dynamic production planning and scheduling in the steel industry. The software implements a three-stage approach to the flexible flow-shop planning problem, comprising modules for long-term, mid-term and short-term planning. Long-term planning implements an order-less planning approach based on...
The physical properties of raw material play an important role in the iron and steel making processes. Especially the grain size is important, e.g., for permeability control in the blast furnace or the densification of the sintering process.
However, current grain size measurement methods are often irregular, labor-intensive, and rely heavily on manual effort, limiting the ability to achieve...
Predictive maintenance is often seen as an add-on for predicting failures. This viewpoint limits the real-life results of predictive maintenance solutions. To truly maximize drive system availability, decisions must support this goal throughout the entire lifecycle, akin to the continuous use of smart devices for personal health monitoring.
Optimizing drive system availability begins at the...
Steel is a cornerstone of global infrastructure but its production faces inherent complexity due to high energy consumption, strict quality demands, and sophisticated production process. While traditional planning methods rely on rigid, centralized frameworks, they struggle to adapt to disruptions like equipment failures or material defects, leading to inefficiencies and financial losses....
The Ladle Furnace (LF) process is fundamental for refining steel before Continuous Casting (CC) and strongly affects some main mechanical features of the final semi-finished steel product. Ferroalloys, deoxidizers and slag formers are added to molten steel, while keeping its temperature within given boundaries through electricity-based heating systems. Several aspects, e.g. the electricity...
Machine Vision (MV) and Artificial Intelligence (AI) are rapidly evolving technologies poised to transform industries, including steel production. While these technologies are already applied in metallurgical plants—primarily to optimize process models—their potential extends far beyond conventional applications. This presentation aims to challenge traditional thinking and spark discussions...
The steel industry is undergoing a twin transition, where digitalization and sustainability work in tandem to drive efficiency, reduce environmental impact, and enhance productivity. As steelmaking is an energy-intensive process with significant CO₂ emissions, the integration of advanced automation solutions is essential to meet the industry’s growing demands for decarbonization and resource...
Steel plants operating for extended periods tend to stabilize into a steady operational state, which may not necessarily align with their peak production potential. Emerging challenges, such as rising energy costs and the task for decarbonization, necessitate a more detailed analysis and enhancement of existing operational processes integrating push and pull scenarios.
With automation, a...