@article{52535, author = {{Schemmer, Susanne Jutta}}, journal = {{Arbeitsmarktgeförderte berufliche Integration, berufsbildung, 77 (3). Bielefeld: wbv Publikation, 2-4.}}, publisher = {{wbv Publikation}}, title = {{{Innovation und neue Stabilitäten durch Krisenzeiten — zur Wandlungs- und Transformationsfähigkeit der beruflichen Integrationsförderung}}}, year = {{2023}}, } @article{52542, abstract = {{AbstractWe report on so‐called “hidden FLPs” (FLP: frustrated Lewis pair) consisting of a phosphorus ylide featuring a group 13 fragment in the ortho position of a phenyl ring scaffold to form five‐membered ring structures. Although the formation of the Lewis acid/base adducts was observed in the solid state, most of the title compounds readily react with carbon dioxide to provide stable insertion products. Strikingly, 0.3–3.0 mol% of the reported aluminum and gallium/carbon‐based ambiphiles catalyze the reduction of CO2 to methanol with satisfactory high selectivity and yields using pinacol borane as stoichiometric reduction equivalent. Comprehensive computational studies provided valuable mechanistic insights and shed more light on activity differences.}}, author = {{Krämer, Felix and Paradies, Jan and Fernández, Israel and Breher, Frank}}, issn = {{0947-6539}}, journal = {{Chemistry – A European Journal}}, keywords = {{General Chemistry, Catalysis, Organic Chemistry}}, number = {{5}}, publisher = {{Wiley}}, title = {{{Quo Vadis CO2 Activation: Catalytic Reduction of CO2 to Methanol Using Aluminum and Gallium/Carbon‐based Ambiphiles}}}, doi = {{10.1002/chem.202303380}}, volume = {{30}}, year = {{2023}}, } @misc{52546, author = {{Nassery, Idris}}, pages = {{105--107}}, title = {{{Mashood A. Baderin, Islamic Law. A Very Short Introduction}}}, doi = {{https://doi.org/10.5771/2748-923X-2023-2}}, year = {{2023}}, } @article{48551, abstract = {{In einem Seminar für angehende berufsbildende Lehrkräfte der beruflichen Fachrichtung Ernährung und Hauswirtschaft an der Technischen Universität Dresden wurde mittels digitaler Tools ein Property-Management-System dargestellt. Ziel ist es, Geschäfts- und Arbeitsprozesse in der Hotellerie sowie digitale Medien und ihre Einsatzmöglichkeiten innerhalb von Lehrveranstaltungen abzubilden.}}, author = {{Härtel, Sandra and Klatt, Christiane and Meyer, Anja}}, issn = {{2193-8806}}, journal = {{HiBiFo – Haushalt in Bildung & Forschung}}, keywords = {{General Medicine}}, number = {{3}}, pages = {{12--23}}, publisher = {{Verlag Barbara Budrich GmbH}}, title = {{{Digitalisiertes Arbeiten in gastgewerblichen Berufen – Umsetzung in der Hochschullehre}}}, doi = {{10.3224/hibifo.v12i3.02}}, volume = {{12}}, year = {{2023}}, } @inproceedings{43031, abstract = {{Abstract. Requirements of multi-material construction involve adjustments to standard joining techniques. Especially the growing importance of integral cast components poses additional engineering challenges for the industry. One approach to achieve these goals are adaptable joining elements formed by friction spinning. This approach uses friction-induced heat to form customisable joining elements to join sheets for different boundary conditions, even for brittle cast materials. It is possible to react immediately to adapt to the joining process inline and reduce the amount of different joining elements. As the joining partner serve casting plates of the aluminium casting alloy EN AC–AlSi9, which is processed in the sand casting. Joining hypoeutectic AlSi alloys constitutes a challenge because the brittle character of these cause cracks in the joint during conventional mechanical joining. Furthermore, the friction-induced heat of the novel joining process causes a finer microstructure in the hypoeutectic AlSi9 casting alloy. In particular, the eutectic Si is more fine-grained, resulting in higher joint ductility. This study indicates the joining suitability of a hypoeutectic aluminium casting alloy in combination with adaptive manufactured additional joining elements. Here, various mechanical and microstructural investigations validate the influence of the thermomechanical joining technique. In conclusion, the potential of this joining process is presented regarding the joinability of cast aluminium components. }}, author = {{Borgert, Thomas and Neuser, Moritz and Wiens, Eugen and Grydin, Olexandr and Homberg, Werner and Schaper, Mirko}}, booktitle = {{Materials Research Proceedings}}, issn = {{2474-395X}}, location = {{Nürnberg}}, pages = {{187--194}}, publisher = {{Materials Research Forum LLC}}, title = {{{Influence of thermo-mechanical joining process on the microstructure of a hypoeutectic aluminium cast alloy}}}, doi = {{10.21741/9781644902417-24}}, volume = {{25}}, year = {{2023}}, } @article{52405, abstract = {{Multi-material designs (MMD) are more frequently used in the automotive industry. Hereby, the combination of different materials, metal sheets, or cast components, is mechanically joined, often by forming joining processes. The cast components mostly used are high-strength, age-hardenable aluminium alloys of the Al–Si system. Here, the low ductility of the AlSi alloys constitutes a challenge because their brittle nature causes cracks during the joining process. However, by using suitable solidification conditions, it is possible to achieve a microstructure with improved mechanical and joining properties. For this study, we used the twin-roll casting process (TRC) with water-cooled rollers to manufacture the hypoeutectic AlSi10Mg for the first time. Hereby, high solidification rates are realisable, which introduces a microstructure that is about four times finer than in the sand casting process. In particular, it is shown that a fine microstructure close to the modification with Na or Sr is achieved by the high solidification rate in the TRC process without using these elements. Based on this, the mechanical properties increase, and especially the ductility is enhanced. Subsequent joining investigations validate the positive influence of a high solidification rate since cracks in joints can be avoided. Finally, a microstructure-property-joint suitability correlation is presented.}}, author = {{Neuser, Moritz and Schaper, Mirko and Grydin, Olexandr}}, issn = {{2504-4494}}, journal = {{Journal of Manufacturing and Materials Processing}}, keywords = {{Industrial and Manufacturing Engineering, Mechanical Engineering, Mechanics of Materials}}, number = {{4}}, publisher = {{MDPI AG}}, title = {{{Mechanical and Microstructure Characterisation of the Hypoeutectic Cast Aluminium Alloy AlSi10Mg Manufactured by the Twin-Roll Casting Process}}}, doi = {{10.3390/jmmp7040132}}, volume = {{7}}, year = {{2023}}, } @article{47535, abstract = {{Consistent lightweight construction in the area of vehicle manufacturing requires the increased use of multi-material combinations. This, in turn, requires an adaptation of standard joining techniques. In multi-material combinations, the importance of integral cast components, in particular, is increasing and poses additional technical challenges for the industry. One approach to solve these challenges is adaptable joining elements manufactured by a thermomechanical forming process. By applying an incremental and thermomechanical joining process, it is possible to react immediately and adapt the joining process inline to reduce the number of different joining elements. In the investigation described in this publication, cast plates made of the cast aluminium alloy EN AC-AlSi9 serve as joining partners, which are processed by sand casting. The joining process of hypoeutectic AlSi alloys is challenging as their brittle character leads to cracks in the joint during conventional mechanical joining. To solve this, the frictional heat of the novel joining process applied can provide a finer microstructure in the hypoeutectic AlSi9 cast alloy. In detail, its Si is finer-grained, resulting in higher ductility of the joint. This study reveals the thermomechanical joining suitability of a hypoeutectic cast aluminium alloy in combination with adaptively manufactured auxiliary joining elements.}}, author = {{Borgert, Thomas and Neuser, Moritz and Hoyer, Kay-Peter and Homberg, Werner and Schaper, Mirko}}, issn = {{2504-4494}}, journal = {{Journal of Manufacturing and Materials Processing}}, keywords = {{Industrial and Manufacturing Engineering, Mechanical Engineering, Mechanics of Materials}}, number = {{5}}, publisher = {{MDPI AG}}, title = {{{Thermomechanical Joining of Hypoeutectic Aluminium Cast Plates}}}, doi = {{10.3390/jmmp7050169}}, volume = {{7}}, year = {{2023}}, } @inproceedings{52406, author = {{Grydin, Olexandr and Neuser, Moritz and Schaper, Mirko}}, booktitle = {{ Conference: ICTP 2023: Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of PlasticityAt: Cannes (France)}}, isbn = {{9783031413407}}, issn = {{2195-4356}}, publisher = {{Springer Nature Switzerland}}, title = {{{Influence of Shell Material on the Microstructure and Mechanical Properties of Twin-Roll Cast Al-Si-Mg Alloy}}}, doi = {{10.1007/978-3-031-41341-4_61}}, year = {{2023}}, } @inproceedings{48898, abstract = {{Automated Algorithm Configuration (AAC) usually takes a global perspective: it identifies a parameter configuration for an (optimization) algorithm that maximizes a performance metric over a set of instances. However, the optimal choice of parameters strongly depends on the instance at hand and should thus be calculated on a per-instance basis. We explore the potential of Per-Instance Algorithm Configuration (PIAC) by using Reinforcement Learning (RL). To this end, we propose a novel PIAC approach that is based on deep neural networks. We apply it to predict configurations for the Lin\textendash Kernighan heuristic (LKH) for the Traveling Salesperson Problem (TSP) individually for every single instance. To train our PIAC approach, we create a large set of 100000 TSP instances with 2000 nodes each \textemdash currently the largest benchmark set to the best of our knowledge. We compare our approach to the state-of-the-art AAC method Sequential Model-based Algorithm Configuration (SMAC). The results show that our PIAC approach outperforms this baseline on both the newly created instance set and established instance sets.}}, author = {{Seiler, Moritz Vinzent and Rook, Jeroen and Heins, Jonathan and Preuß, Oliver Ludger and Bossek, Jakob and Trautmann, Heike}}, booktitle = {{2023 IEEE Symposium Series on Computational Intelligence (SSCI)}}, pages = {{361 -- 368}}, title = {{{Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP}}}, doi = {{10.1109/SSCI52147.2023.10372008}}, year = {{2023}}, } @article{50527, author = {{Öhlschläger, Claudia}}, journal = {{Scientia Poetica}}, pages = {{77--101}}, title = {{{Die Totenmaske als Medium der kleinen Form. Zur Mehrdeutigkeit von Ahnenkult und Historie im frühen 20. und 21. Jahrhundert}}}, volume = {{27}}, year = {{2023}}, }