TY - JOUR A1 - Brierley, N. A1 - Bellon, Carsten A1 - Lazaro Toralles, B. T1 - Optimized multi-shot imaging inspection design JF - Proceedings of The Royal Society A N2 - The inspection of complex-shaped components, such as those enabled by additive manufacturing, is a major challenge in industrial quality assurance. A frequently adopted approach to volumetric non-destructive evaluation is X-ray computed tomography, but this has major drawbacks. Two-dimensional radiography can overcome some of these problems, but does not generally provide an inspection that is as capable. Moreover, designing a detailed inspection for a complex-shaped component is a labour-intensive task, requiring significant expert input. In response, a computational framework for optimizing the data acquisition for an image-based inspection modality has been devised. The initial objective is to advance the capabilities of radiography, but the algorithm is, in principle, also applicable to alternative types of imaging. The algorithm exploits available prior information about the inspection and simulations of the inspection modality to allow the Determination of the optimal inspection configuration, including specifically component poses with respect to the imaging system. As an intermediate output, spatial maps of inspection performance are computed, for understanding spatially varying limits of detection. Key areas of innovation concern the defect detectability evaluation for arbitrarily complex indications and the creation of an application-specific optimization algorithm. Initial trials of the algorithm are presented, with good results. KW - Inspection design and planning KW - Optimization KW - Radiography KW - Simulation PY - 2018 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-458363 DO - https://doi.org/10.1098/rspa.2017.0319 SN - 1471-2946 SN - 1364-5021 VL - 474 IS - 2216 SP - 70319, 1 EP - 25 PB - The Royal Society CY - London AN - OPUS4-45836 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Brierley, N. A1 - Casperson, Ralf A1 - Engert, D. A1 - Heilmann, S. A1 - Herold, F. A1 - Hofmann, D. A1 - Küchler, H. A1 - Leinenbach, F. A1 - Lorenz, S. A1 - Martin, J. A1 - Rehbein, J. A1 - Sprau, B. A1 - Suppes, A. A1 - Vrana, J. A1 - Wild, E. T1 - DICONDE in industrial inspection N2 - DICONDE (Digital Imaging and Communication in Non-Destructive Testing) is an open international standard for storing and exchanging industrial test data and process-related information. The DICONDE standard defines both the semantics for structured storage of data and the network-based communication between two endpoints. This allows many test processes to be mapped digitally and securely, while at the same time meeting normative requirements such as traceability to the tester and test object and reproducibility of test results. KW - DICONDE KW - NDT KW - Interoperability KW - Data storage KW - Communication PY - 2023 SP - 1 EP - 13 PB - DGZfP CY - Berlin AN - OPUS4-58576 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -