TY - JOUR AU - Pfeifer, Florian AU - Knorr, Lukas AU - Schlosser, Florian AU - Marten, Thorsten AU - Tröster, Thomas ID - 46486 IS - 3 JF - Journal of Sustainable Development of Energy, Water and Environment Systems KW - Energy Engineering and Power Technology KW - Water Science and Technology KW - Environmental Science (miscellaneous) KW - Renewable Energy KW - Sustainability and the Environment SN - 1848-9257 TI - Ecological and Economic Feasibility of Inductive Heating for Sustainable Press Hardening Processes VL - 11 ER - TY - CONF AU - Elsner, Julia AU - Tenberge, Claudia AU - Fechner, Sabine ED - van Vorst, Helena ID - 45371 T2 - Lernen, Lehren und Forschen in einer digital geprägten Welt TI - Videoanalyse des Modellierprozesses von Grundschüler*innen VL - 43 ER - TY - GEN AU - Kundisch, Dennis ID - 46491 TI - #DIGITALENTS - Digital Talents Programm geht in die zweite Runde VL - 1 ER - TY - JOUR AU - Kempkes, J. P. AU - Kreuzhage, K. AU - Kundisch, Dennis AU - Seutter, Janina AU - Weskamp, Christoph ID - 45656 JF - Kultur Management Network Magazin TI - Digitale Transformation im Theater – Mittels Besucherforschung und Entscheidungsunterstützung zur besseren Angebotsgestaltung VL - 172 ER - TY - CONF AU - Gräßler, Iris AU - Wiechel, Dominik ID - 46502 T2 - 2023 18th Annual System of Systems Engineering Conference (SoSe) TI - Customized impact analyses for technical engineering changes ER - TY - JOUR AB - Purpose The purpose of this study is to investigate the manufacturability of Fe-3Si lattice structures and the resulting mechanical properties. This study could lead to the successful processing of squirrel cage conductors (a lattice structure by design) of an induction motor by additive manufacturing in the future. Design/methodology/approach The compression behaviour of two lattice structures where struts are arranged in a face-centred cubic position and vertical edges (FCCZ), and struts are placed at body-centred cubic (BCC) positions, prepared by laser powder bed fusion (LPBF), is explored. The experimental investigations are supported by finite element method (FEM) simulations. Findings The FCCZ lattice structure presents a peak in the stress-strain curve, whereas the BCC lattice structure manifests a plateau. The vertical struts aligned along the compression direction lead to a significant increase in the load-carrying ability of FCCZ lattice structures compared to BCC lattice structures. This results in a peak in the stress-strain curve. However, the BCC lattice structure presents the bending of struts with diagonal struts carrying the major loads with struts near the faceplate receiving the least load. A high concentration of geometrically necessary dislocations (GNDs) near the grain boundaries along cell formation is observed in the microstructure. Originality/value To the best of the authors’ knowledge, this is the first study on additive manufacturing of Fe-3Si lattice structures. Currently, there are no investigations in the literature on the manufacturability and mechanical properties of Fe-3Si lattice structures. AU - Pramanik, Sudipta AU - Hoyer, Kay-Peter AU - Schaper, Mirko ID - 46503 IS - 6 JF - Rapid Prototyping Journal KW - Industrial and Manufacturing Engineering KW - Mechanical Engineering SN - 1355-2546 TI - Experimental and finite element method investigation on the compression behaviour of FCCZ and BCC lattice structures of additively manufactured Fe-3Si samples VL - 29 ER - TY - JOUR AU - Pramanik, Sudipta AU - Milaege, Dennis AU - Hein, Maxwell AU - Andreiev, Anatolii AU - Schaper, Mirko AU - Hoyer, Kay-Peter ID - 46507 IS - 14 JF - Advanced Engineering Materials KW - Condensed Matter Physics KW - General Materials Science SN - 1438-1656 TI - An Experimental and Computational Modeling Study on Additively Manufactured Micro‐Architectured Ti–24Nb–4Zr–8Sn Hollow‐Strut Lattice Structures VL - 25 ER - TY - GEN AU - Andreiev, Anatolii AU - Hoyer, Kay-Peter AU - Hengsbach, Florian AU - Haase, Michael AU - Schaper, Mirko ID - 46504 TI - Powder Bed Fusion of Soft-Magnetic Iron-Silicon-Based Alloys: Advantages and Challenges ER - TY - CONF AB - Purpose: Data integration and applications across knowledge graphs (KGs) rely heavily on the discovery of links between resources within these KGs. Geospatial link discovery algorithms have to deal with millions of point sets containing billions of points. Methodology: To speed up the discovery of geospatial links, we propose COBALT. COBALT combines the content measures with R-tree indexing. The content measures are based on the area, diagonal and distance of the minimum bounding boxes of the polygons which speeds up the process but is not perfectly accurate. We thus propose two polygon splitting approaches for improving the accuracy of COBALT. Findings: Our experiments on real-world datasets show that COBALT is able to speed up the topological relation discovery over geospatial KGs by up to 1.47 × 104 times over state-of-the-art linking algorithms while maintaining an F-Measure between 0.7 and 0.9 depending on the relation. Furthermore, we were able to achieve an F-Measure of up to 0.99 by applying our polygon splitting approaches before applying the content measures. Value: The process of discovering links between geospatial resources can be significantly faster by sacrificing the optimality of the results. This is especially important for real time data-driven applications such as emergency response, location-based services and traffic management. In future work, additional measures, like the location of polygons or the name of the entity represented by the polygon, could be integrated to further improve the accuracy of the results. AU - Becker, Alexander AU - Ahmed, Abdullah Fathi Ahmed AU - Sherif, Mohamed AU - Ngonga Ngomo, Axel-Cyrille ID - 46514 KW - ahmed becker dice ngonga sail sherif T2 - SEMANTiCS TI - COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs ER - TY - JOUR AU - Ahmed, Abdullah Fathi AU - Sherif, Mohamed Ahmed AU - Ngomo, Axel-Cyrille Ngonga ID - 46517 JF - IEEE Access KW - General Engineering KW - General Materials Science KW - General Computer Science KW - Electrical and Electronic Engineering SN - 2169-3536 TI - NELLIE: Never-Ending Linking for Linked Open Data ER -