| People | Locations | Statistics |
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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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Carmignato, S.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2024New multi-function building plate for improving metal laser powder bed fusion by enhancing the alignment accuracy of in-process monitoring data, computed tomography measurements, and building volume geometrycitations
- 2024On the effect of material density in dimensional evaluations by X-ray computed tomography of metal-polymer multi-material parts
- 2024METROLOGY-OPTIMIZED BUILDING PLATE FOR METAL LASER POWDER BED FUSION
- 2024New experimental approach for local measurements of effective layer thickness, powder bed density and volumetric energy density to enhance metal laser powder bed fusioncitations
- 2024Prediction of spatter-related defects in metal laser powder bed fusion by analytical and machine learning modelling applied to off-axis long-exposure monitoringcitations
- 2024Fatigue prediction for metallic additively manufactured lattice components using FCM based on average strain energy density approach
- 2024Pure niobium manufactured by Laser-Based Powder Bed Fusion: influence of process parameters and supports on as-built surface qualitycitations
- 2024Effect of the building orientation on additively manufactured copper alloy: Hydraulic performance of different surface roughness channelscitations
- 2024Application of the Effective critical plane approach for the fatigue assessment of ductile cast iron under multiaxial and non-proportional loading conditionscitations
- 2023On the possibility of doing reduced order, thermo-fluid modelling of laser powder bed fusion (L-PBF) – Assessment of the importance of recoil pressure and surface tensioncitations
- 2023A new energy based highly stressed volume concept to investigate the notch-pores interaction in thick-walled ductile cast iron subjected to uniaxial fatiguecitations
- 2023Deformations modelling of metal additively manufactured parts and improved comparison of in-process monitoring and post-process X-ray computed tomographycitations
- 2023A probabilistic average strain energy density approach to assess the fatigue strength of additively manufactured cellular lattice materialscitations
- 2022Multiaxial plain and notch fatigue strength of thick-walled ductile cast iron EN-GJS-600-3: Combining multiaxial fatigue criteria, theory of critical distances, and defect sensitivitycitations
- 2022Multi-Physics Numerical Modelling of 316l Austenitic Stainless Steel in Laser Powder Bed Fusion Process at Meso-Scale
- 2022Effect of heat treatment temperature and turning residual stresses on the plain and notch fatigue strength of Ti-6Al-4V additively manufactured via laser powder bed fusioncitations
- 2021Dimensional verification of metal additively manufactured lattice structures by X-ray computed tomography: Use of a newly developed calibrated artefact to achieve metrological traceabilitycitations
- 2021Additively manufactured Ti–6Al–4V thin struts via laser powder bed fusion: Effect of building orientation on geometrical accuracy and mechanical propertiescitations
- 2021A novel tomographic characterisation approach for sag and dross defects in metal additively manufactured channelscitations
- 2009Development of Focused Ion Beam technique for high speed steel 3D-SEM artefact fabrication
Places of action
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article
On the possibility of doing reduced order, thermo-fluid modelling of laser powder bed fusion (L-PBF) – Assessment of the importance of recoil pressure and surface tension
Abstract
Meso-scale, multi-physics simulations of metal additive manufacturing (MAM) processes have so far proven their capability as a reliable tool for predicting potential defect formations. Nevertheless, there is a large number of uncertainty contributions involved with the input process parameters as well as the implemented material properties in these models. As expected, both the process-related and material-related uncertainties affect the outcome of these multi-physics simulations to a large degree. The present work is therefore intended to quantify the impacts of some of the important material/process-related uncertainties involved with meso-scale multi-physics models, on the heat transfer conditions within melt pool. In this respect, a meso-scale multi-physics model of the laser powder bed fusion process of stainless steel 316-L is developed in the commercial Finite Volume Method (FVM) based software Flow-3D and then validated against in-house experiments prior to the main investigation. In the first part of the study, the impact of recoil pressure at different laser linear energy densities (LED) and different laser beam sizes on the melt pool morphology are investigated. It is found that there is a specific threshold of LED below which the melt pool shape is not affected by the recoil pressure and the melt pool fluid dynamics is mostly governed by the Marangoni effect. This threshold increases from 80 J/mm to 280 J/mm when the beam size is increased from 20 μm to 120 μm. Moreover, a parametric study using dimensionless numbers is carried out to understand the impact of different capillary forces on the melt pool shape and size. It is observed that for inverse Bond numbers below 4.105, the depth-to-width ratio of the melt pool is above 1 where the recoil pressure dominates the melt pool dynamics and a keyhole forms. In summary, this study specifies in essence the process window over which specific physics are unimportant so that a lower-fidelity meso-scale model could replace the higher-fidelity multi-physics models.