| People | Locations | Statistics |
|---|---|---|
| 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
Places of action
| Organizations | Location | People |
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booksection
Additive manufacturing in nuclear power plants (AM-NPP)
Abstract
The general objective of AM-NPP is to increase the knowledge of Finnish stakeholders on the use of Additive Manufacturing (AM), in particular Laser Powder Bed Fusion (L-PBF), therefore ensuring the safe use of additively manufactured metallic components in the nuclear sector. It is a technology which is showing a lot of applicability potential, e.g. in dealing with obsolescence in Nuclear Power Plants, but for which there is still little exposure to for both licensees and regulator. AM-NPP aims at closing this gap. The work developed during the different work packages aims at: Expanding standard procedures and deepen understanding of material-process-property relationships; contributing with scientific based facts to the introduction of AM in nuclear design codes; and, identifying safe ways of replacing obsolete components and realize new designs using AM. During the first two years of the project the focus has been on creating a roadmap of the use of AM in Finnish nuclear sector. Also, applicability of AM components and methods of quality control have been studied.