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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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Cumbunga, Judice
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (3/3 displayed)
- 2024Modeling and optimization of the thermomechanical behavior of metal partsobtained by sintering : Numerical and experimental approach. ; Modélisation et optimisation du comportement thermomécanique des pièces métalliques obtenues par frittage : Approche numérique et expérimentale.
- 2023Numerical modeling of the solid-state sintering at the microstructural level: Multiphysics approach and application to metal additive manufacturing
- 2023Numerical Modeling and Simulation of Microstructure Evolution during Solid-State Sintering: Multiphysics Approachcitations
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thesis
Modeling and optimization of the thermomechanical behavior of metal partsobtained by sintering : Numerical and experimental approach. ; Modélisation et optimisation du comportement thermomécanique des pièces métalliques obtenues par frittage : Approche numérique et expérimentale.
Abstract
The pressureless solid-state sintering process is a thermal treatment applied to improve or adjust material properties according to its field of application, given its ability to handle parts with complex geometries, high dimensional accuracy, small dimensions and suitability for soft and hard materials. However, modeling this type of process proves to be a difficult task, as an appropriate model needs to take into account various aspects, namely the multi-scale and multi-physics character of the problem, the high non-linearity of the material, the complexity of the geometries and, last but not least, the type of boundary conditions. From an industrial point of view, the appropriate heat treatment parameters are mainly obtained by trial and error. Numerical simulation makes it possible to reduce the cost of these tests and to provide more useful predictions or recommendations for actual production, than sintering tests themselves. Numerous research projects have been devoted to the development of mathematical and numerical models with approaches adapted to different levels or scales, such as the small scale (atomic level), the meso-scale (particle, grain and pore level), and the continuum scale (component level). The ability to predict the evolution of microstructure has put the mesoscopic model (at particle, grain and pore level) ahead of the others.In research terms, the question posed would therefore be "Given a untreated part obtained by MExAM, how can we numerically simulate the evolution of the microstructure (from an initial microstructural state) to control changes in thermomechanical properties during the solid-state sintering process ?"A robust computational model, based on a multiphysics and multi-scale approach, has been developed, tested and validated. It enables us to predict the evolution of the material's microstructure, thermal and mechanical properties. The model is based on the finite element method, and progressively takes into account the multiphysical couplings (thermal, mechanical and ...