TY - CONF A1 - Bruno, Giovanni A1 - Jaenisch, Gerd-Rüdiger A1 - Bellon, Carsten A1 - Jaczinski, Jessica T1 - Virtual XCT - Simulation of Industrial XCT-Systems with aRTist N2 - One of the few 3D methods, that can be used to analyze an object non-destructively, is X-ray computed tomography (CT). The determination of the object's deviations, such as shape and the internal structure of objects, including defects and material degradation, is of particular interest to industry. The ability of CT to scan an object with its internal and external features at once causes increasing adoption in dimensional metrology. This includes the need to determine the measurement uncertainty. Experimental uncertainty determination by conducting repeated CT measurements is costly and time-consuming. The simulation of the CT measurement process offers the possibility of determining the task-specific measurement uncertainty numerically in a resource-efficient manner. There are already several software programs available that simulate CT systems, such as aRTist. Once the virtual replica of a CT system has been completed, it’s accuracy must be evaluated quantitively in comparison to the CT measurements. To focus on analyzing the quality of the simulated CT images different metrics are introduced for the comparison of experimental and simulated CT projections. The results of the comparisons are presented, and conclusions are drawn how to improve the simulation of industrial CT systems. T2 - MPA Seminar 2024 CY - Stuttgart, Germany DA - 08.10.2024 KW - X-ray Computed tomography KW - Simulations KW - Virtual XCT KW - Digital Twin PY - 2024 AN - OPUS4-61346 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bruno, Giovanni T1 - X-ray Computed Tomography: Facts and Myths N2 - In this talk, I will describe the principle of Computed Tomography, explain its mathematical fundaments, show the artefacts occurring during data acquisition and give examples of applications. T2 - Chalmers Annual Meeting 2024 CY - Gothenburg, Sweden DA - 23.10.2024 KW - X-ray Computed tomography KW - Defects KW - Machine Learning KW - Reconstruction KW - Artefacts KW - Synchrotron PY - 2024 AN - OPUS4-61514 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bruno, Giovanni T1 - Capabilities at BAM, division 8.5- X-ray Imaging N2 - The X-ray computed tomography capabilities at BAM (especially in Division 8.5) are shown. It is also shown that the group possesses X-ray refraction radiography techniques, which are complementary to absorption radiography, and uses diffraction for residual stress analysis. Examples of applications in the field of Additive Manufacturing ale also shown. T2 - DGM AK XCT CY - Berlin, Germany DA - 27.11.2024 KW - X-ray Computed tomography KW - Defects KW - X-ray refraction radiography KW - Additive Manufacturing PY - 2024 AN - OPUS4-62046 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CHAP A1 - Bruno, Giovanni ED - Makul, Matt T1 - Investigation of a New Ti Alloy for a New Generation of Additively Manufactured Implants with Lattice N2 - A new titanium alloy improving the operation of implants additively manufactured and including laterally closed lattice structures is proposed. The new alloy possesses an increased affinity to the bone. The measured bone–interface implant (BII) of less than 10 mm and bone–implant contact (BIC) of 95% demonstrated an excellent osseointegration. Furthermore, since additive manufacturing naturally leads to a high-roughness surface finish, the wettability of the implant is increased. The combination of these factors is pushing ossification beyond its natural limits. In addition, the quality and speed of the ossification and osseointegration in/around laterally closed lattice implants open the possibility of bone spline key of prostheses. This enables the stabilization of the implant into the bone while keeping the possibility of punctual hooks allowing the implant to be removed more easily if required. KW - X-ray Computed tomography KW - Defects KW - Machine Learning KW - Implants KW - Lattices PY - 2024 DO - https://doi.org/10.9734/bpi/cpstr/v7/7198E VL - 7 SP - 12 EP - 37 AN - OPUS4-59754 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -