Conveners
Digital transformation - Steelmaking Continuos Casting
- Michele De Santis (Rina Consulting - Centro Sviluppo Materiali SpA)
Digital transformation - Steelmaking Continuos Casting
- Cosmo Di Cecca (Feralpi Siderurgica)
Description
6.1.6
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...
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...
Controlling molten steel temperature is pivotal in steelmaking as it influences energy efficiency, process performance, and product quality. Among the factors affecting molten steel temperature, steel ladles, massive refractory-lined vessels used to transport and refine molten steel from the tapping station to the continuous caster, play a crucial role. Ensuring the molten steel reaches the...
A reliable material identification along the entire rolling process chain is a high priority in today’s rising demand on fault-free shipment. For special alloy producer, a mixup in delivered product could result in complete cancellation of the shipment, penalty charges as well as loss in reputation. In this regard, currently used positive material identification (PMI) technologies such as...
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....
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...
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...