TY - THES A1 - Groß, Anna-Lena T1 - Positionierung und Vermarktung von regionalem Schweinefleisch anhand der Initiative „Sauguad“. N2 - In der Abschlussarbeit wird das Thema der Vermarktung und Positionierung von regionalen Produkten anhand der Schweinefleisch Initiative "Sauguad" bearbeitet. Y1 - 2024 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48513 CY - Ingolstadt ER - TY - THES A1 - Schön, Torsten T1 - Physarum Learner: A Novel Structure Learning Algorithm for Bayesian Networks inspired by Physarum Polycephalum UR - https://doi.org/10.5283/epub.28415 Y1 - 2013 UR - https://doi.org/10.5283/epub.28415 PB - Universität Regensburg CY - Regensburg ER - TY - CHAP A1 - Bienert, Joerg ED - Rainieri, Carlo ED - Gentile, Carmelo ED - López Aenlle, Manuel T1 - Extension of Linear Systems by Fractional Derivatives T2 - Proceedings of the 10th International Operational Modal Analysis Conference (IOMAC 2024), Volume 2 UR - https://doi.org/10.1007/978-3-031-61425-5_42 Y1 - 2024 UR - https://doi.org/10.1007/978-3-031-61425-5_42 SN - 978-3-031-61425-5 SN - 978-3-031-61424-8 SP - 432 EP - 442 PB - Springer CY - Cham ER - TY - INPR A1 - Aubreville, Marc A1 - Ganz, Jonathan A1 - Ammeling, Jonas A1 - Kaltenecker, Christopher C. A1 - Bertram, Christof T1 - Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis N2 - The QUILT-1M dataset is the first openly available dataset containing images harvested from various online sources. While it provides a huge data variety, the image quality and composition is highly heterogeneous, impacting its utility for text-conditional image synthesis. We propose an automatic pipeline that provides predictions of the most common impurities within the images, e.g., visibility of narrators, desktop environment and pathology software, or text within the image. Additionally, we propose to use semantic alignment filtering of the image-text pairs. Our findings demonstrate that by rigorously filtering the dataset, there is a substantial enhancement of image fidelity in text-to-image tasks. UR - https://doi.org/10.48550/arXiv.2404.07676 Y1 - 2024 UR - https://doi.org/10.48550/arXiv.2404.07676 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48648 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Winter, Michael A1 - Bock, Jürgen A1 - Hoos, Johannes A1 - Klausmann, Tobias A1 - Schnebel, Boris A1 - Schmitt, Siwara A1 - Simon, Marco A1 - Stolze, Melanie A1 - Vieira da Silva, Luis Miguel A1 - Kleinert, Tobias ED - Jumar, Ulrich ED - Diedrich, Christian T1 - Methods to Describe, Assign and Derive Capabilities from the Capability, Skill and Service (CSS) Model T2 - 18. Fachtagung, EKA 2024, Entwurf komplexer Automatisierungssysteme, Beschreibungsmittel, Methoden, Werkzeuge und Anwendungen N2 - For the use of the CSS model, workflows are needed to describe, assign and derive capabilities. This contribution provides a Capability Determining method that encompasses the three underlying technology-independent methods to guide stakeholders in describing, assigning and deriving capabilities for manufacturing. The first underlying method, Describing Capabilities, describes a workflow for the formal semantic description of capabilities. The workflow for assigning capabilities to a production resource is explained using the second method Assigning Capability. In the last workflow, capabilities are derived from production specification or a process description using the method Deriving Capability. UR - http://dx.doi.org/10.25673/116039 KW - Industry 4.0 KW - Capability description KW - Resource function KW - Product description KW - Automation engineering Y1 - 2024 UR - http://dx.doi.org/10.25673/116039 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48431 PB - Institut für Automation und Kommunikation CY - Magdeburg ER - TY - JOUR A1 - Wilhelm, Gudrun A1 - Golla-Schindler, Ute A1 - Wöhrl, Katharina A1 - Geisbauer, Christian A1 - Cooke, Graham A1 - Bernthaler, Timo A1 - Schweiger, Hans-Georg A1 - Schneider, Gerhard T1 - Influence of Water on Aging Phenomena of Calendric Stored and Cycled Li-Ion Batteries JF - Nanoenergy Advances N2 - We examine the impact of water (160 ± 41 ppm of reference) on the anode, cathode, separator and electrolyte in two aging scenarios: calendric aging (60 °C, 80 days, charged state), resulting in a triggered current interrupt device (CID), and cycling 1680 times (charge/discharge with 1C, 2.75–4.2 V, 20 ± 2 °C), resulting in 24.5% residual capacity. We applied computer tomography (CT), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS) and secondary ion mass spectrometry (SIMS) to understand the capacity loss. The aged NMC/LCO–graphite cells were compared to a reference cell in pristine state. Both aging scenarios showed (a) thick depositions on the anode and cathode consisting mainly of oxygen, fluorine and phosphorous, (b) reduced separator pore sizes, (c) the deposition of Mn, Co and Ni on top of the anode and (d) the decomposition of the conductive salt LiPF6 accompanied by HF formation and a loss of active lithium. Calendric aging consumes the water content and additionally leads to (e) the decomposition of the organic solvent followed by CO2 gas formation. Cyclic aging increases the water content and additionally results in (f) the consumption of the additive fluoroethylene carbonate (FEC). These findings show how water affects aging phenomena and results in a capacity decrease in the cell. UR - https://doi.org/10.3390/nanoenergyadv4020011 Y1 - 2024 UR - https://doi.org/10.3390/nanoenergyadv4020011 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48606 SN - 2673-706X VL - 4 IS - 2 SP - 174 EP - 195 PB - MDPI CY - Basel ER - TY - JOUR A1 - Vieweger, Daniel A1 - Diel, Sergej A1 - Schweiger, Hans-Georg A1 - Tetzlaff, Ulrich T1 - Mechanical Properties of Raw Filaments and Printed Specimens: Effects of Fiber Reinforcements and Process Parameters JF - Polymers N2 - Fused Deposition Modeling (FDM) is a well-established manufacturing method for producing both prototype and functional components. This study investigates the mechanical properties of FDM components by material and process-related influencing variables. Tensile tests were conducted on seven different materials in their raw filament form, two of which were fiber-reinforced, to analyze their material-related influence. To cover a wide range from standard to advanced materials relevant for load-carrying components as well as their respective variations, polylactic acid (PLA), 30% wood-fiber-reinforced PLA, acrylonitrile butadiene styrene (ABS), polycarbonate (PC), a blend of ABS and PC, Nylon, and 30% glass-fiber-reinforced Nylon were selected. The process-related influencing variables were studied using the following process parameters: layer thickness, nozzle diameter, build orientation, nozzle temperature, infill density and pattern, and raster angle. The first test series revealed that the addition of wood fibers significantly worsened the mechanical behavior of PLA due to the lack of fiber bonding to the matrix and significant pore formation. The polymer blend of ABS and PC only showed improvements in stiffness. Significant strength and stiffness improvements were found by embedding glass fibers in Nylon, despite partially poor fiber–matrix bonding. The materials with the best properties were selected for the process parameter analysis. When examining the impact of layer thickness on part strength, a clear correlation was evident. Smaller layer thicknesses resulted in higher strength, while stiffness did not appear to be affected. Conversely, larger nozzle diameters and lower nozzle temperatures only positively impacted stiffness, with little effect on strength. The part orientation did alter the fracture behavior of the test specimens. Although an on-edge orientation resulted in higher stiffness, it failed at lower stresses. Higher infill densities and infill patterns aligned with the load direction led to the best mechanical results. The raster angle had a significant impact on the behavior of the printed bodies. An alternating raster angle resulted in lower strengths and stiffness compared to a unidirectional raster angle. However, it also caused significant stretching due to the rotation of the beads. UR - https://doi.org/10.3390/polym16111576 Y1 - 2024 UR - https://doi.org/10.3390/polym16111576 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48595 SN - 2073-4360 VL - 16 IS - 11 PB - MDPI CY - Basel ER - TY - JOUR A1 - Agricola, Barbara A1 - Bierwisch, Claas A1 - Palm, Frank A1 - Jägle, Eric A. A1 - Kerschenlohr, Annegret T1 - Parameter study of an Al–Cr–Mo–Sc–Zr alloy processed by laser powder bed fusion reaching high build rates JF - Progress in Additive Manufacturing N2 - Market availability of aluminum alloys for laser powder bed fusion (L-PBF) is still highly limited in comparison to conventional manufacturing processes. The demand for high-strength but inexpensive alloys specifically designed for L-PBF is high. This demand has led to research on a variety of adapted conventional alloys which are still limited to utilize the full potential of L-PBF. Scalmalloy® (Al–Mg–Sc–Zr) satisfies the demand for high-strength L-PBF-alloys but needs a high energy input and has troubles with evaporation of Mg. Scancromal® (Al–Cr–Sc–Zr) is a novel alloying system for L-PBF and was first introduced in 2019 with the possibility of higher build rates and comparable strengths to Scalmalloy®. In this paper, a more economic low Sc-containing version of Scancromal® is presented. A parameter study was performed for 100 μm layer thickness reaching high build rates of about 47 cm3 h−1 . Hardness tests for different parameters were carried out and showed a stable process window with a hardness comparable to AlSi10Mg. Additionally, two-dimensional multilayer process simulations showed a potential for increasing the layer thickness to 150 μm and therefore a significant increase in build rate of up to 70 cm3 h−1 highlighting the high productivity potential of Al–Cr alloys for L-PBF. UR - https://doi.org/10.1007/s40964-024-00627-8 Y1 - 2024 UR - https://doi.org/10.1007/s40964-024-00627-8 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48567 SN - 2363-9520 SN - 2363-9512 PB - Springer CY - Cham ER - TY - JOUR A1 - Meess, Henri A1 - Gerner, Jeremias A1 - Hein, Daniel A1 - Schmidtner, Stefanie A1 - Elger, Gordon A1 - Bogenberger, Klaus T1 - First steps towards real-world traffic signal control optimisation by reinforcement learning JF - Journal of Simulation N2 - Enhancing traffic signal optimisation has the potential to improve urban traffic flow without the need for expensive infrastructure modifications. While reinforcement learning (RL) techniques have demonstrated their effectiveness in simulations, their real-world implementation is still a challenge. Real-world systems need to be developed that guarantee a deployable action definition for real traffic systems while prioritising safety constraints and robust policies. This paper introduces a method to overcome this challenge by introducing a novel action definition that optimises parameter-level control programmes designed by traffic engineers. The complete proposed framework consists of a traffic situation estimation, a feature extractor, and a system that enables training on estimates of real-world traffic situations. Further multimodal optimisation, scalability, and continuous training after deployment could be achieved. The first simulative tests using this action definition show an average improvement of more than 20% in traffic flow compared to the baseline – the corresponding pre-optimised real-world control. UR - https://doi.org/10.1080/17477778.2024.2364715 Y1 - 2024 UR - https://doi.org/10.1080/17477778.2024.2364715 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-48585 SN - 1747-7778 PB - Taylor & Francis CY - London ER - TY - INPR A1 - Burghof, Hans-Peter A1 - Sinha, Tanja T1 - Value at Risk with Informed Traders, Herding, and the Optimal Structure of Trading Divisions T2 - SSRN UR - https://dx.doi.org/10.2139/ssrn.302116 Y1 - 2002 UR - https://dx.doi.org/10.2139/ssrn.302116 PB - Elsevier CY - Amsterdam ER -