| 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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Biswas, Abhishek
VTT Technical Research Centre of Finland
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (27/27 displayed)
- 2024On the grain level deformation of BCC metals with crystal plasticity modeling:Application to an RPV steel and the effect of irradiationcitations
- 2024Analysis of rolling contact and tooth root bending fatigue in a new high-strength steel:Experiments and micromechanical modellingcitations
- 2024On the grain level deformation of BCC metals with crystal plasticity modelingcitations
- 2024Crystal plasticity model for creep and relaxation deformation of OFP coppercitations
- 2024Analysis of rolling contact and tooth root bending fatigue in a new high-strength steel: Experiments and micromechanical modellingcitations
- 2023Estimating Long Term Behaviour Of DED-printed AlCoNiFe Alloy
- 2023Estimating Long Term Behaviour Of DED-printed AlCoNiFe Alloy
- 2023Micromechanical modeling of single crystal and polycrystalline UO2 at elevated temperaturescitations
- 2023Performance Driven Design And Modeling Of Compositionally Complex AM Al-Co-Ni-Fe Alloys
- 2023Performance Driven Design And Modeling Of Compositionally Complex AM Al-Co-Ni-Fe Alloys
- 2023Crystal plasticity model for creep and relaxation deformation of OFP coppercitations
- 2023Experimental Assessment and Micromechanical Modeling of Additively Manufactured Austenitic Steels under Cyclic Loadingcitations
- 2023Micromechanical modeling of single crystal and polycrystalline UO 2 at elevated temperaturescitations
- 2023Predicting anisotropic behavior of textured PBF-LB materials via microstructural modelingcitations
- 2022Micromechanical Modeling of AlSi10Mg Processed by Laser-Based Additive Manufacturing: From as-Built to Heat-Treated Microstructurescitations
- 2022Micromechanical Modeling of AlSi10Mg Processed by Laser-Based Additive Manufacturing: From as-Built to Heat-Treated Microstructures
- 2022A hybrid approach for the efficient computation of polycrystalline yield loci with the accuracy of the crystal plasticity finite element method
- 2022Data-oriented description of texture-dependent anisotropic material behaviorcitations
- 2022Identification of texture characteristics for improved creep behavior of a L-PBF fabricated IN738 alloy through micromechanical simulationscitations
- 2022Micromechanical Modeling of AlSi10Mg Processed by Laser-Based Additive Manufacturing:From as-Built to Heat-Treated Microstructurescitations
- 2020Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modelingcitations
- 2020Study of the influence of microstructural features of 316L stainless steal produced by selective laser melting on its mechanical properties
- 2020Optimized reconstruction of the crystallographic orientation density function based on a reduced set of orientationscitations
- 2020Optimized reconstruction of the crystallographic orientation density function based on a reduced set of orientationscitations
- 2020Effect of grain statistics on micromechanical modeling
- 2020Influence of pore characteristics on anisotropic mechanical behavior of laser powder bed fusion–manufactured metal by micromechanical modelingcitations
- 2019Optimized reconstruction of the crystallographic orientation density function based on a reduced set of orientations
Places of action
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article
Identification of texture characteristics for improved creep behavior of a L-PBF fabricated IN738 alloy through micromechanical simulations
Abstract
Additive manufacturing (AM) of nickel-based superalloys, due to high temperature gradients during the building process, typically promotes epitaxial growth of columnar grains with strong crystallographic texture in form of a 〈001〉 fibre or a cube texture. Understanding the mutual dependency between AM process parameters, the resulting microstructure and the effective mechanical properties of the material is of great importance to accelerate the development of the manufacturing process. In this work, a multi-scale micromechanical model is employed to gain deeper insight into the influence of various texture characteristics on the creep behavior of an IN738 superalloy. The creep response is characterized using a phenomenological crystal plasticity creep model that considers the characteristic γ-γ′ microstructure and all active deformation mechanisms. The results reveal that the creep strength increases with decreasing texture intensities and reaches its maximum when the 〈001〉 fibre and cube textures are misaligned to the specimen building direction by 45°. The simulations also predict that the uncommon 〈111〉 and 〈110〉 fibres offer significantly higher creep resistance than the typically observed 〈001〉 fibre, which provides a further incentive to investigate AM processing conditions that can produce these unique textures in the material. As the intensities and the alignment of 〈001〉 fibre and cube textures can be attributed to the laser energy density and the scan strategy employed and as the formation of distinct fibre textures depends on the geometry of the resulting melt pool, the laser powder bed fusion process parameters can be optimized to obtain microstructures with features that improve the creep properties.