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Recycling technologies for circular ALuminium

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Composition-Aware SDAS Prediction in Recycled Aluminum Alloys via Physics-Informed Machine Learning Guided by Analytical Solidification Physics (opens in new window)

Author(s): Hamed Rezvanpour, Alberto Vergnano, Paolo Veronesi, Francesco Leali
Published in: Machines, Issue 14, 2026, ISSN 2075-1702
Publisher: MDPI AG
DOI: 10.3390/MACHINES14030311

Robustness Assessment in the Optimization of Low-Pressure Die Casting Subject to Variations in Secondary Alloy Composition (opens in new window)

Author(s): Vergnano A.; Rezvanpour H.; Spessotto M.; Leali F.
Published in: International Journal of Metalcasting, 2024, ISSN 2163-3193
Publisher: Springer
DOI: 10.1007/S40962-024-01504-4

Integrating Design of Simulation Experiments and Machine Learning to Predict the Local Secondary Dendrite Arm Spacing for Recycled AlSi7 Cast Parts (opens in new window)

Author(s): Hamed Rezvanpour, Alberto Vergnano, Paolo Veronesi, Francesco Leali
Published in: Lecture Notes in Mechanical Engineering, Design Tools and Methods in Industrial Engineering V, 2026
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-14953-4_14

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