TY - CONF A1 - Bruno, Giovanni A1 - Fritsch, Tobias A1 - Schröder, Jakob A1 - Mishurova, Tatiana A1 - Ulbricht, Alexander A1 - Evans, Alexander A1 - Serrano-Munoz, Itziar T1 - How to experimentally determine residual stress in AM structures N2 - The experimental determination of residual stress becomes more complicated with increasing complexity of the structures investigated. Unlike the conventional and most of the additive manufacturing (AM) fabrication techniques, laser powder bed fusion (PBF-LB) allows the production of complex structures without any additional manufacturing step. However, due to the extremely localized melting and solidification, internal stress-induced deformation and cracks are often observed. In the best case, significant residual stress is retained in the final structures as a footprint of the internal stress during manufacturing. Here we report solutions to the most prevalent challenges when dealing with the diffraction-based determination of residual stress in AM structures, in particular the choice of the correct diffraction elastic constants. We show that for Nickel-based alloys, the diffraction elastic constants of AM material significantly deviate from their conventional counterparts. Furthermore, measurement strategies to overcome the hurdles appearing when applying diffraction-based techniques to complex-shaped lattice structures are presented: a) proper sample alignment within the beam, b) the proper determination of the residual stress field in a representative part of the structure (i.e., with an engineering meaning). Beyond the principal stress magnitude, the principal direcions of residual stress are discussed for different geometries and scan strategies, as they are relevent for failure criteria. We show that the RS in the lattice struts can be considered to be uniaxial and to follow the orientation of the strut, while the RS in the lattice knots is more hydrostatic. Additionally, we show that strain measurements in at least seven independent directions are necessary for the correct estimation of the principal stress directions. The measurement directions should be chosen according to the sample geometry and to an informed choice on the possible strain field (i.e., reflecting the scan strategy). We finally show that if the most prominent direction is not measured, the error in the calculated stress magnitude increases in such a manner that no reliable assessment of RS state can be made. T2 - Additive 2024 CY - Berlin, Germany DA - 12.06.2024 KW - Neutron Diffraction KW - Residual Stress KW - X-ray Computed Tomography KW - Additive Manufacturing KW - Lattice Structure KW - Inconel PY - 2024 AN - OPUS4-60423 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Fritsch, Tobias T1 - 3D Analysis of Powder for Laser Beam Melting by Synchrotron X-ray CT N2 - Additive Manufacturing (AM) in terms of laser powder-bed fusion (L-PBF) offers new prospects regarding the design of parts and enables therefore the production of complex structures. The quality of the feedstock material receives increasing attention, as it depicts the first part of the L-PBF process chain. The powder quality control in terms of flowability and powder bed packing density is therefore mandatory. In this work, a workflow for quantitative 3D powder analysis in terms of particle size, particle shape, particle porosity, inter-particle distance and packing density was established. Synchrotron computed tomography (CT) was used to correlate the packing density with the particle size and particle shape for three different powder batches. The polydisperse particle size distribution (PSD) was transformed into a statistically equivalent bidisperse PSD. The ratio of the small and large particles helped to understand the powder particle packing density. While the particle shape had a neglectable influence, the particle size distribution was identified as major contributor for the packing density. T2 - AM- Workshop BAM CY - Online meeting DA - 20.04.2021 KW - Additive manufacturing KW - Laser powder bed fusion KW - Powder KW - Particle size distribution KW - Packing density PY - 2021 AN - OPUS4-53477 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Mishurova, Tatiana A1 - Fritsch, Tobias A1 - Jahn, Anne A1 - Pavasaryte, Lina A1 - Bruno, Giovanni T1 - Quantitative surface quality evaluation by X-ray Computed Tomography N2 - The poor surface quality is one of the challenges in powder based additive manufacturing (AM) techniques. It limits the application of the components in as-manufactured condition and requires the post-processing machining techniques, increasing costs and diminishing the advantage of the free form fabrication. It is important to characterize the surface roughness of the part as it might affect the tolerances and the mechanical behavior of the material. For the AM components the usage of classic characterization techniques becomes very challenging and even impossible, when internal channels, fine and complex shapes structures are under investigation. In such cases, X-ray Computed Tomography (XCT) is the only tool to evaluate the structure inside nondestructively. In this work, the application of surface quality analysis workflow using high-resolution XCT is presented. The analysis of surface topography includes the quantitative characterization of “re-entrant” surface features. This characterization is based on the evaluation of the triangulated surface generated based on the XCT data and was compared with conventional surface roughness parameters (e.g., Sa and Sz). The strength of the presented workflow is the application on arbitrary surfaces without geometrical limitations allowing real as-build investigation. This will be discussed on the example of both, simple cylindrical struts to present the principals, and the application to the Triply Periodic Minimal Surface (TPMS) structures. The analysis of the struts allows conclusions about the influence of down-skin and up-skin on surface quality. The results indicate that the surface quality is a factor of 2 worse for a build angle of 30° compared to an up-right build (90°). The investigation of TPMS structures is focused on the optimization of process parameter of geometrically complex samples regarding the surface quality. The challenge was an automated and user-independent comparison of several TPMS structures. The correlation of surface quality with process parameters (e.g., Laser power, laser velocity) is presented. T2 - ASTM ICAM 2024 CY - Atlanta, GA, USA DA - 28.10.2024 KW - Additive manufacturing KW - X-ray CT KW - Surface texture PY - 2024 AN - OPUS4-61515 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hejazi, Bardia A1 - Fritsch, Tobias A1 - Benz, Christopher A1 - Radtke, Lars A1 - Sander, Manuela A1 - Bruno, Giovanni T1 - In-situ very high cycle fatigue experiments of additively manufactured Ti-6Al-4V using X-ray computed tomography N2 - X-ray computed tomography (XCT) is an invaluable method for evaluating the properties and performance of components both during service and after failure in a non-destructive manner. XCT is particularly useful for the investigation of additively manufactured (AM) components, which often have production defects that are inherent to the manufacturing process, such as lack of fusion defects. Understanding the mechanisms of fatigue crack growth throughout the life cycle of such components is crucial and so to address this need, we designed and performed experiments to investigate the fatigue life and fatigue crack growth behavior of Ti-6Al-4V components under very high cycle fatigue (VHCF) testing. The titanium samples were additively manufactured with intentional internal defects to control crack initiation location. XCT of the component was carried out to identify crack initiation sites and characterize the dynamics of crack growth. The findings from this work will benefit industries that rely on the AM of titanium alloys, aiding in the improvement of component design and manufacturing processes. T2 - Alloys for additive manufacturing 2025 (AAMS 2025) CY - Neuchâtel, Switzerland DA - 02.09.2025 KW - X-ray computed tomography KW - Deep learning KW - Titanium alloy KW - Very high-cycle fatigue PY - 2025 DO - https://doi.org/10.5281/zenodo.15261296 AN - OPUS4-64096 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -