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 -