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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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Delaney, Gary
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Topics
Publications (7/7 displayed)
- 2023Modelling the influences of powder layer depth and particle morphology on powder bed fusion using a coupled DEM-CFD approachcitations
- 2023Advances in Multiscale Modelling of Metal Additive Manufacturing
- 2023Smart recoating: A digital twin framework for optimisation and control of powder spreading in metal additive manufacturingcitations
- 2021The Effect of Recoater Geometry and Speed on Granular Convection and Size Segregation in Powder Bed Fusioncitations
- 2021Progress Towards a Complete Model of Metal Additive Manufacturingcitations
- 2017Modelling Powder Flow in Metal Additive Manufacturing Systems
- 2017Aiming for modeling-assisted tailored designs for additive manufacturingcitations
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document
Advances in Multiscale Modelling of Metal Additive Manufacturing
Abstract
Metal powder bed fusion has become a key technology in additive manufacturing of parts or components having complex geometries. In this process, highly transient physical phenomena that occur at different length scales are difficult to observe. Additionally, experimental data needed for process understanding and improvement are challenging to obtain. Modelling therefore becomes a crucial tool to provide more insight into the process.This presentation reports our recent advances in multiscale modelling of metal powder bed fusion process. Physics phenomena such as powder raking, powder melting and solidification, flow of liquid metal in the melt pool, heat transfer, microstructure evolution, and the residual stress and deformation of the component are treated using several different computational techniques. The framework to develop and link different models of different physical processes into a comprehensive model of laser powder-bed fusion additive manufacturing is discussed and demonstrated.