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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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| Petrov, R. H. | Madrid |
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| Bih, L. |
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| Casati, R. |
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| Kočí, Jan | Prague |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Ali, M. A. |
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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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Yashchuk, Ivan
VTT Technical Research Centre of Finland
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (3/3 displayed)
- 2019Data-Driven Optimization Of Metal Additive Manufacturing Solutions
- 2019On The Linking Performance Evaluation Toolset To Process-structure-properties Mapping Of Selective Laser Melting 316L Stainless Steel Using Micromechanical Approach With A Length-scale Dependent Crystal Plasticity
- 2019Process-Structure-Properties-Performance Modeling for Selective Laser Meltingcitations
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document
On The Linking Performance Evaluation Toolset To Process-structure-properties Mapping Of Selective Laser Melting 316L Stainless Steel Using Micromechanical Approach With A Length-scale Dependent Crystal Plasticity
Abstract
Under rapid solidification, the cellular microstructure of additively manufactured 316L stainless steel has a highly relevant contribution to its strength and deformation behavior. Two major factors can be identified at micro-scale, the size scale dependencies of the cellular microstructure and solute segregation process within the forming microstructure. To establish a view on the formation of the microstructure, first a macroscopic model is used to analyze thermal gradients and cooling rates. Then a phase field model utilizes this data to form cellular structure and account for solute trapping effects with continuous growth model kinetics. Length-scale dependent crystal plasticity model is then used to analyze the deformation behavior of the formed cellular microstructures.