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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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Revuelta, Alejandro
VTT Technical Research Centre of Finland
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (17/17 displayed)
- 2024Effects of surface finishes, heat treatments and printing orientations on stress corrosion cracking behavior of laser powder bed fusion 316L stainless steel in high-temperature watercitations
- 2024Process monitoring by deep neural networks in directed energy deposition : CNN-based detection, segmentation, and statistical analysis of melt poolscitations
- 2024Effect of laser focal point position on porosity and melt pool geometry in laser powder bed fusion additive manufacturingcitations
- 2024Process monitoring by deep neural networks in directed energy depositioncitations
- 2024Process monitoring by deep neural networks in directed energy deposition:CNN-based detection, segmentation, and statistical analysis of melt poolscitations
- 2023SCC behaviour of laser powder bed fused 316L stainless steel in high-temperature water at 288 °Ccitations
- 2022AM NPP - High temperature solution annealing of AM 316L
- 2021Additive manufacturing in nuclear power plants (AM-NPP)
- 2021Method for embedding components during additive manufacturing of metal parts
- 2020On the effect of shielding gas flow on porosity and melt pool geometry in laser powder bed fusion additive manufacturingcitations
- 2018Design and Verification of a Wireless Readout System for Integrated Motor Axle Condition Monitoringcitations
- 2017Soft magnetic alloys for selective laser melting
- 2017Feasibility of selective laser melting process in manufacturing of digital spare parts
- 2016Manufacturing of topology optimized soft magnetic core through 3D printing
- 2016Optimization and simulation of SLM process for high density H13 tool steel partscitations
- 2007High velocity forming of magnesium and titanium sheetscitations
- 2007Comparison of two commercial FE-codes for sheet metal forming
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article
On the effect of shielding gas flow on porosity and melt pool geometry in laser powder bed fusion additive manufacturing
Abstract
Metal additive manufacturing is moving from rapid prototyping to on-demand manufacturing and even to serial production. Consistent part quality and development of a wider range of available materials are key for wider adoption. This requires control and optimization of various laser and scanning parameters. Therefore, process modeling has been extensively pursued to reduce experimental runs in the search for parameters that produce dense, high-quality parts for the given alloy. However, these optimal parameters remain machine-specific if conditions defined by the machine architecture are not considered. Previous studies have shown that shielding gas flow is one such parameter that affects porosity and mechanical properties of parts produced with laser powder bed fusion. However, a lack of consensus remains regarding which phenomena are responsible for the observed decrease in quality. In this study, the effect of shielding gas flow velocity on porosity and melt pool geometry in laser powder bed fusion additive manufacturing is studied. It is shown that decreasing the gas flow velocity leads to a drastic loss of penetration of single scan tracks, leading to increased lack-of-fusion porosity at the part level. This is attributed to the obstruction of the laser beam by the process-induced vapor plume emissions of the individual tracks being scanned. As the vapor plume, and how effectively it is removed by the shielding gas flow, have a significant effect on the melt pool geometry in laser powder bed fusion, models aiming at predicting the melt pool geometry and attempts to transfer process parameters from one machine to another should consider the effect of the shielding gas flow.