Additive Fertigung
Filtern
Dokumenttyp
- Vortrag (25)
- Zeitschriftenartikel (9)
- Posterpräsentation (3)
- Forschungsdatensatz (3)
- Beitrag zu einem Tagungsband (1)
- Dissertation (1)
Sprache
- Englisch (42) (entfernen)
Schlagworte
- Additive manufacturing (21)
- Additive Manufacturing (13)
- Microstructure (12)
- Ti-6Al-4V (11)
- 316L (6)
- Anisotropy (6)
- Crystal plasticity (6)
- AGIL (5)
- AISI 316L (5)
- Computed Tomography (5)
Organisationseinheit der BAM
- 5.2 Metallische Hochtemperaturwerkstoffe (42) (entfernen)
Virtual-lab-based determination of a macroscopic yield function for additively manufactured parts
(2018)
This work presents a method for the yield function determination of additively manufactured parts of S316L steel. A crystal plasticity model is calibrated with test results and used afterwards to perform so-called virtual experiments, that account for the specific process-related microstructure including crystallographic and morphological textures. These simulations are undertaken on a representative volume element (RVE), that is generated from EBSD/CT-Scans on in-house additively manufactured specimen, considering grain structure and crystal orientations. The results of the virtual experiments are used to determine an anisotropic Barlat yield function, that can be used in a macroscopical continuum-sense afterwards. This scale-bridging approach enables the calculation of large-scale parts, that would be numerically too expensive to be simulated by a crystal plasticity model.
Virtual-lab-based determination of a macroscopic yield function for additively manufactured parts
(2018)
This work presents a method for the yield function determination of additively manufactured parts of S316L steel. A crystal plasticity model is calibrated with test results and used afterwards to perform so-called virtual experiments, that account for the specific process-related microstructure including crystallographic and morphological textures. These simulations are undertaken on a representative volume element (RVE), that is generated from EBSD/CT-Scans on in-house additively manufactured specimen, considering grain structure and crystal orientations. The results of the virtual experiments are used to determine an anisotropic Barlat yield function, that can be used in a macroscopical continuum-sense afterwards. This scale-bridging approach enables the calculation of large-scale parts, that would be numerically too expensive to be simulated by a crystal plasticity model.