| 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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conferencepaper
Multi-Physics Numerical Modelling of 316l Austenitic Stainless Steel in Laser Powder Bed Fusion Process at Meso-Scale
Abstract
Laser Powder Bed Fusion (L-PBF) is a Metal Additive Manufacturing (MAM) technology where a complex 3D metal part is built from powder layers, which are selectively consolidated using a laser heat source. The processing zone is in the order of a few tenths of micrometer, making L-PBF a multi-scale manufacturing process. The formation and growth of gas pores and the creation of un-melted powder zones can be predicted by multiphysics models. Also, with these models, the melt pool shape and size, temperature distribution, melt pool fluid flow and its microstructural features like grain size and morphology can be calculated. In this work, a high fidelity multi-physics meso-scale numerical model is developed for stainless steel 316-L which includes melting, solidification, fluid flow, surface tension, thermo-capillarity, evaporation and multiple reflection with ray-tracing. A statistical study using a full Design of Experiments (DoE) method was conducted, wherein the impact of uncertain material properties and process parameters namely absorptivity, recoil pressure (vaporization) and laser beam size on the melt pool shape and size was analysed. Furthermore, to emphasize on the significance of the above mentioned uncertain input parameters on the melt pool dynamics, a main effects plot was created which showed that absorptivity had the highest impact followed by laser beam size. The significance of recoil pressure on the melt pool size increases with melt pool volume which is dependent on absorptivity. The prediction accuracy of the model is validated by comparing the melt pool shape and size from the simulation with single track experiments that were produced with similar process parameters. Moreover, the effect of thermal lensing was considered in the numerical model by increasing the laser beam size and later on the resultant melt pool profile was compared with experiments to show the robustness of the model.