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 -