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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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Cleary, Paul
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Publications (9/9 displayed)
- 2024A self-controlled case series study to measure the risk of SARS-CoV-2 infection associated with attendance at sporting and cultural events: the UK Events Research Programme eventscitations
- 2023Advances in Multiscale Modelling of Metal Additive Manufacturing
- 2021Progress Towards a Complete Model of Metal Additive Manufacturingcitations
- 2018A Coupled B-SPH Model of Whole-body Equine Locomotion Over Two Track Surfaces
- 2017Modelling Powder Flow in Metal Additive Manufacturing Systems
- 2017Workspace - a Scientific Workflow System for enabling Research Impact
- 2014Challenges in computational modelling of food breakdown and flavour releasecitations
- 2014Temperature and strain rate effects in cold spray investigated by smoothed particle hydrodynamicscitations
- 2012Modelling spray coating using a combined CFD-DEM and spherical harmonic formulationcitations
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document
Modelling Powder Flow in Metal Additive Manufacturing Systems
Abstract
In powder-bed based metal additive manufacturing applications, the addition of the powder layers is the crucial first step in building up of the part in 3D and has a significant impact on final part quality. A common technique employed is to add successive layers of metal powder by raking a new layer across the existing surface. Understanding this raking process and how the properties of the powder particles (e.g. size, shape, density, interaction properties) and process parameters (e.g. height of powder layer, rake geometry, rake speed) affect the properties of the bed after raking is crucial in optimizing the performance of the system and ensuring the quality of the 3D-printed part. We will present results of a computational model of this raking process using the discrete element method (DEM). This model directly incorporates the powder’s particle size distribution, particle shapes and experimental measurements of the powder flowability. We have applied this model to simulating raking of both Arcam Ti powder and CSIRO Manipulated Ti Powder and it is being applied in improving the performance of existing 3D powder-bed systems and exploring new rake designs and powder morphology combinations in order to deliver products with improved performance. We will also describe how this model fits within a complete modelling framework we are developing for the other key physical processes in powder based metal additive manufacturing including the transfer of energy from the laser or electron beam to the metal, the melting and solidification of the powder, the flow of liquid metal in the melt pool, the heat transfer from the melt pool to the surrounding powder and solid metal, the evolution of the microstructure of the component, and the residual stress and deformation of the component that result from the non-uniform heating and cooling.