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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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Pinna, Christophe
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2020Modelling impact damage in composite laminates: A simulation of intra- and inter-laminar crackingcitations
- 2019Low-velocity impact of composite laminates: damage evolutioncitations
- 2018Experimental and modelling study of fatigue crack initiation in an aluminium beam with a hole under 4-point bendingcitations
- 2018Ageing of a polymeric engine mount investigated using digital image correlationcitations
- 2016Simulating the microstructural evolution of a Selective Laser Melted AA-2024
- 2015Damage in dual phase steel DP1000 investigated using digital image correlation and microstructure simulationcitations
- 2014Interface cohesive elements to model matrix crack evolution in composite laminatescitations
- 2013Characterization of the High Temperature Strain Partitioning in Duplex Steelscitations
- 2012Model fusion using fuzzy aggregation: Special applications to metal propertiescitations
- 2011Analysis of the structure of deposited materials at inner surface of jet fuel injector feed arm with Optical and Scanning Electron Microscopy
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document
Simulating the microstructural evolution of a Selective Laser Melted AA-2024
Abstract
A two-dimensional Cellular Automata (CA) – Finite Element (FE) (CA-FE) coupled model has been developed in order to predict the microstructure formed during melting of a powdered AA2024 feedstock using the Additive Manufacturing (AM) process Selective Laser Melting (SLM). The presented CA model is coupled with a detailed thermal FE model computing heat flow characteristics of the SLM process. The developed model takes into account the powder-to-liquidto-solid transformation, tracks the interaction between several melt pools within a melted track, and several tracks within various layers. It was found that the simulated microstructures bared a close resemblance with fabricated AA-2024 SLM samples. With these observed capabilities of the model, the porosity within a SLM produced part can be predicted, and used to optimise the fabrication parameters of a sample.