Conveners
Digital transformation - Steelmaking Continuos Casting
- Cosmo Di Cecca (Feralpi Siderurgica)
Description
6.1.6
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Stefan Radner (Primetals Technologies Austria)09/10/2025, 13:20Digital transformationOral Presentation
Steel circularity represents a sustainable strategy aimed at maximizing reuse of steel material, significantly contributing to the decarbonization of steel production. This approach encompasses the sustainable design of steel end products, resource-efficient steelmaking, and the recycling of steel products. Resource-efficient steelmaking is achieved through electric arc furnaces or converters...
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Ms Elena-Briana Boeru (Sapotech Oy)09/10/2025, 13:40Digital transformationOral Presentation
Continuous casting has long relied on inspection methods that often detect defects too late, leading to wasted energy, time, and costs. Late detection also limits the ability to intervene in defect formation. Sapotech aims to improve continuous casting control by developing a real-time defect detection system that integrates AI-driven predictions, machine vision, and process sensor data. This...
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Gerfried Millner (School of Material Science and Engineering, Nanyang Technological University)09/10/2025, 14:00Digital transformationOral Presentation
The global shift towards greener practices has created significant challenges for the material manufacturing sector. One key example is the need to increase the use of scrap metals in production to reduce the strain on natural resources and promote a circular economy. However, using scrap metals inevitably introduces impurities, which can greatly affect the properties of the final material....
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Michele De Santis (Rina Consulting - Centro Sviluppo Materiali SpA)09/10/2025, 14:20Digital transformationOral Presentation
Problem-solving in industrial processes relies on the adequate development and use of tools able to get insight and improved knowledge and know how on the phenomena behind the occurrence e.g, of factors affecting production quality and productivity. In steel production, this gains particular importance due to the need of following the increasingly severe market request and the unavoidable...
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Alice Petrucciani (Scuola Superiore Sant'Anna)09/10/2025, 14:40Digital transformationOral Presentation
In recent years, the exploitation of Deep Learning and computer vision to classify waste material has rapidly increased to automate recycling processes, increasing efficiency and reducing carbon footprint. Electric steelworks, which produce steel by recycling ferrous scrap, fit perfectly into this context. In effect, the identification and classification of different types of scrap is...
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