| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Colla, V.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2024A Deep Learning-Based Approach to the Estimation of Jominy Profile of Medium-Carbon Quench Hardenable Steelscitations
- 2024Machine Learning models to forecast defects occurrence on foundry products
- 2023How the EU project "Online Microstructure Analytics" advances inline sensing of microstructure during steel manufacturing
- 2023How the EU project "Online Microstructure Analytics" advances inline sensing of microstructure during steel manufacturing
- 2020Neural networks-based prediction of hardenability of high performance carburizing steels for automotive applications
- 2020Assessment of Critical Hydrogen Concentration in As-Cast and Hot-Rolled Billets in Medium Carbon Steelscitations
- 2018Product uniformity control - A research collaboration of european steel industries to non-destructive evaluation of microstructure and mechanical properties:
- 2011Prediction of Continuous Cooling Transformation Diagrams for Dual-Phase Steels from the Intercritical Regioncitations
- 2009A way to reduce environmental impact of ladle furnace slag
- 2005Parametric Jominy Profiles Predictor Based on Neural Networks
Places of action
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document
How the EU project "Online Microstructure Analytics" advances inline sensing of microstructure during steel manufacturing
Abstract
Weight savings in mobility and transport are mandatory in order to reduce CO2 emissions and energy consumption. The steel industry offers weight saving solutions by a growing portfolio of Advanced High Strength Steel (AHSS) products. AHSS owe their strength to their largely refined and complex microstructures, containing multiple metallurgical phases. Optimal control of the thermo-mechanical processing of AHSS requires inline sensors for real-time monitoring of evolution and consistency of microstructure and material properties. To coordinate and accelerate European development activities in this domain, the project "Online Microstructure Analytics (OMA)" was established in 2019, constituting of a consortium of 14 specialised research organisations. The EU-funded OMA project,