| 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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Lacoste, Eric
Institut de Mathématiques de Marseille
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (13/13 displayed)
- 2022Microstructural and mechanical aspects of AlSi7Mg0.6 alloy related to scanning strategies in L-PBFcitations
- 2022High Strain Rate Deformation Behavior and Recrystallization of Alloy 718
- 2021High Strain Rate Deformation Behavior and Recrystallization of Alloy 718citations
- 2020Relative Density of SLM-Produced Aluminum Alloy Parts: Interpretation of Resultscitations
- 2020Inline drift detection using monitoring systems and machine learning in selective laser meltingcitations
- 2019Pieces of increasing technical performance manufactured with recycled carbon fibers for competitive boating
- 2019Analytical modeling of hot behavior of Ti-6Al-4V alloy at large strain
- 2019Analytical modeling of hot behavior of Ti-6Al-4V alloy at large straincitations
- 2018Genesis of Microstructures in Friction Stir Welding of Ti-6Al-4Vcitations
- 2018Genesis of Microstructures in Friction Stir Welding of Ti-6Al-4V
- 2010Control of Inconel 738LC superalloy microstructure with the aid of a precipitate dissolution semi-analytical modelingcitations
- 2009Numerical simulation of segregation phenomena coupled with phase change and fluid flow : application to metal matrix composites processingcitations
- 2008A new procedure of statistical approach characterization of ceramic filament fracture strength by bending testscitations
Places of action
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article
Relative Density of SLM-Produced Aluminum Alloy Parts: Interpretation of Results
Abstract
<jats:p>Micrographic image analysis, tomography and the Archimedes method are commonly used to analyze the porosity of Selective Laser Melting (SLM)-produced parts and then to estimate the relative density. This article deals with the limitation of the relative density results to conclude on the quality of a part manufactured by additive manufacturing and focuses on the interpretation of the relative density result. To achieve this aim, two experimental methods are used: the image analysis method, which provides local information on the distribution of porosity, and the Archimedes method, which provides access to global information. To investigate this, two different grades of aluminum alloy, AlSi7Mg0.6 and AM205, were used in this study. The study concludes that an analysis of the metallographic images to calculate the relative density of the part depends on the areas chosen for the analysis. In addition, the results show that the Archimedes method has limitations, particularly related to the choice of reference materials for calculating relative density. It can be observed, for example, that, depending on the experimental conditions, the calculation can lead to relative densities higher than 100%, which is inconsistent. This article shows that it is essential that a result of relative density obtained from Archimedes measurements be supplemented by an indication of the reference density used.</jats:p>