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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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Bodner, Sabine C.
Montanuniversität Leoben
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2023Influence of Hatch Strategy on Crystallographic Texture Evolution, Mechanical Anisotropy of Laser Beam Powder Bed Fused S316L Steelcitations
- 2022Graded Inconel-stainless steel multi-material structure by inter- and intralayer variation of metal alloyscitations
- 2022Degradation of regenerated cellulose filaments by hydrogen chloride under aqueous and non-aqueous conditionscitations
- 2022Cracking mechanism in a laser powder bed fused cold-work tool steelcitations
- 2022Effect of cold deformation on the stress corrosion cracking resistance of a high-strength stainless steelcitations
- 2022Local microstructural evolution and the role of residual stresses in the phase stability of a laser powder bed fused cold-work tool steelcitations
- 2021Zerstörungsfreie Charakterisierung von Furnieren für strukturelle Verbundwerkstoffe
- 2021Correlative cross-sectional characterization of nitrided, carburized and shot-peened steelscitations
- 2021Predicting strength of Finnish birch veneers based on three different failure criteriacitations
- 2019Cross-sectional gradients of residual stresses, microstructure and phases in a nitrided steel revealed by 20 µm synchrotron X-ray diffraction
- 2018Combinatorial study of process parameters, microstructure and mechanical properties in Inconel 718 parts produced by additive manufacturing
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document
Combinatorial study of process parameters, microstructure and mechanical properties in Inconel 718 parts produced by additive manufacturing
Abstract
Functional properties of Ni-basis Inconel 718 alloy components synthetized using selective laser melting depend on a variety of process parameters. In this thesis, the effects of the laser power, the scanning velocity and the layer thickness on the surface quality, the mechanical properties, the microstructure and the residual stress gradients in a variety of as-built structures are analyzed. Based on an experimental design schema, first, 41 process parameter combinations were systematically selected and applied to manufacture the structures. The combinatorial study has indicated complex correlations between the process and the sample parameters. Surfaces roughnesses were optimized to mean values of ~14 and 19 µm for vertical, 45°-upskin and 45°-downskin oriented surfaces, respectively. A maximal ultimate tensile strength of ~670 MPa and a strain at fracture of up to ~33.5 % were obtained in the as-built structures without further surface post-processing. Secondly, the results were used to select representative conditions for the production of six near-product sample geometries, which were further analyzed at the synchrotron beamline P07 of DESY in Hamburg. Three specimens were produced using constant deposition conditions and, for another three geometries, the volumetric energy density was varied during the building process. Horizontal and vertical synchrotron scanning experiments were performed to characterize stress and texture evolutions across the samples. The correlation of the experimental data allowed the understanding of the influence of the specific process parameters on the mechanical properties, the microstructure, the residual stress distributions and the surface quality. Finally, this multi-parameter study based on a variety of experimental techniques and applied process conditions demonstrate that it is actually possible to perform knowledge-based design of the functional properties and the corresponding microstructure of as-built components by applying purposefully selected input parameters during the additive manufacturing process.