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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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Rodriguez, Pilar Rey
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document
Performance Driven Design And Modeling Of Compositionally Complex AM Al-Co-Ni-Fe Alloys
Abstract
Virtual design of additively manufactured AlCoNiFe alloys enables optimization of material performance required at elevated operational temperatures. Compositional tailoring of the material leads to a complex mixture of stable and metastable phase structures, which affect the engineering material properties. This focuses on the micromechanical modelling of AlCoNiFe alloy microstructures with crystal plasticity by utilizing preceding material design steps with Calphad analysis for the alloys suggested by neural network decision making. We evaluate key aspects of the material behavior, such as strength/strain hardening and fatigue responses.