@inproceedings{57102,
  author       = {{Gräßler, Iris and Wiechel, Dominik and Rarbach, Sven}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  location     = {{Cranfield, UK}},
  pages        = {{585--5D}},
  publisher    = {{Elsevier BV}},
  title        = {{{Model-based impact analysis in dynamic System of Systems}}},
  doi          = {{10.1016/j.procir.2024.06.032}},
  volume       = {{128}},
  year         = {{2024}},
}

@article{57893,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Control engineering applications usually require a model that accurately represents the dynamics of the system. In addition to classical physical modeling, powerful data‐driven approaches are gaining popularity. However, the resulting models may not be ideal for control design due to their black‐box structure, which inherently limits interpretability. Formulating the system dynamics in port‐Hamiltonian form is highly beneficial, as its valuable property of passivity enables the straightforward design of globally stable controllers while ensuring physical interpretability. In a recently published article, we presented a method for data‐driven inference of port‐Hamiltonian models for complex mechatronic systems, requiring only fundamental physical prior knowledge. The resulting models accurately represent the nonlinear dynamics of the considered systems and are physically interpretable. In this contribution, we advance our previous work by including two key elements. Firstly, we demonstrate the application of the above described data‐driven PCHD models for controller design. Preserving the port‐Hamiltonian form in the closed loop not only guarantees global stability and robustness but also ensures desired speed and damping characteristics. Since control systems based on output measurements, which are continuously measured during operation due to the feedback structure, we secondly aim to use this data. Thus, we augment the existing modeling strategy with an intelligent adaptation approach to address uncertainties and (un)predictable system changes in mechatronic systems throughout their lifecycle, such as the installation of new components, wear, or temperature fluctuations during operation. Our proposed algorithm for recursively calculated data‐driven port‐Hamiltonian models utilizes a least‐squares approach with extensions such as automatically adjusting the forgetting factor and controlling the covariance matrix trace. We demonstrate the results through model‐based application on an academic example and experimental validation on a test bench.</jats:p>}},
  author       = {{Junker, Annika and Timmermann, Julia and Trächtler, Ansgar}},
  issn         = {{1617-7061}},
  journal      = {{PAMM}},
  number       = {{1}},
  publisher    = {{Wiley}},
  title        = {{{Adaptive Data‐Driven Models in Port‐Hamiltonian Form for Control Design}}},
  doi          = {{10.1002/pamm.202400154}},
  volume       = {{25}},
  year         = {{2024}},
}

@article{59051,
  abstract     = {{Model‐based state observers require high‐quality models to deliver accurate state estimates. However, due to time or cost shortage, modeling simplifications or numerical issues, models often have severe inaccuracies that may lead to insufficient and deficient control. Instead of attempting to iteratively model these deviations, we address the challenge by the concept of joint estimation. Thus, we assume a linear combination of suitable functions to approximate the inaccuracies. The parameters of the linear combination are supposed to be time invariant and augment the model's state. Subsequently, the parameters can be identified simultaneously to the states within the observer. Referring to the principle of Occam's razor, the parameters are claimed to be sparse. Our former work shows that estimating states and model inaccuracies simultaneously by a sparsity promoting unscented Kalman filter yields not only high accuracy but also provides interpretable representations of underlying inaccuracies. Based on this work, our contribution is twofold: First, we apply our approach finally on a real‐world test bench, namely a golf robot. Within the experimental setting, we investigate closed loop behavior as well as how suitable functions need to be chosen to approximate the inaccuracies in a physically interpretable way. Results do not only provide high state estimation accuracy but also meaningful insights into the system's inaccuracies. Second, we discuss and establish a method to automatically adapt and update the model based on collected data of the linear combination during operation. Examining past parameter estimates by principal component analysis, a moving window is utilized to extract the most dominant functions. These are kept characterizing the model inaccuracies, while nondominant functions are automatically neglected and refilled with novel function candidates. After analysis and rebuilding, this updated function set is subsequently fed back into the joint estimation loop and deployed for further estimation. Hence, we give a holistic paradigm of how to analyze and combat model inaccuracies while ensuring high state estimation accuracy. Within this setting, we once more investigate closed loop behavior and yield promising results. In conclusion, we show that the proposed observer provides a helpful tool to guarantee high estimation accuracy for models with severe inaccuracies or for situations with occurring deviations during operation, for example, due to mechanical wear or temperature changes.</jats:p>}},
  author       = {{Götte, Ricarda-Samantha and Timmermann, Julia}},
  issn         = {{1617-7061}},
  journal      = {{PAMM}},
  number       = {{1}},
  publisher    = {{Wiley}},
  title        = {{{Online Learning With Joint State and Model Estimation}}},
  doi          = {{10.1002/pamm.202400080}},
  volume       = {{25}},
  year         = {{2024}},
}

@inproceedings{56983,
  abstract     = {{Detecting the veracity of a statement automatically is a challenge the world is grappling with due to the vast amount of data spread across the web. Verifying a given claim typically entails validating it within the framework of supporting evidence like a retrieved piece of text. Classifying the stance of the text with respect to the claim is called stance classification. Despite advancements in automated fact-checking, most systems still rely on a substantial quantity of labeled training data, which can be costly. In this work, we avoid the costly training or fine-tuning of models by reusing pre-trained large language models together with few-shot in-context learning. Since we do not train any model, our approach ExPrompt is lightweight, demands fewer resources than other stance classification methods and can serve as a modern baseline for future developments. At the same time, our evaluation shows that our approach is able to outperform former state-of-the-art stance classification approaches regarding accuracy by at least 2 percent. Our scripts and data used in this paper are available at https://github.com/dice-group/ExPrompt.}},
  author       = {{Qudus, Umair and Röder, Michael and Vollmers, Daniel and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management}},
  isbn         = {{79-8-4007-0436-9/24/10}},
  keywords     = {{Stance Classification, Few-shot in-context learning, Pre-trained large language models}},
  location     = {{Boise, ID, USA}},
  pages        = {{3994 -- 3999}},
  publisher    = {{ACM}},
  title        = {{{ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification}}},
  doi          = {{10.1145/3627673.3679923}},
  volume       = {{9}},
  year         = {{2024}},
}

@misc{64977,
  author       = {{Mersch, Katharina Ulrike}},
  booktitle    = {{Deutsches Archiv für Erforschung des Mittelalters}},
  number       = {{2}},
  pages        = {{722}},
  title        = {{{Brown, Warren: Beyond the Monastery Walls. 2023, xiv, 385 S.: Illustrationen, Karten. - ISBN 978-1-108-47958-5}}},
  volume       = {{80}},
  year         = {{2024}},
}

@inproceedings{65052,
  author       = {{Albrecht, Mirko and Bialaschik, Max Oliver and Gehde, Michael and Schöppner, Volker}},
  booktitle    = {{AIP Conference Proceedings}},
  issn         = {{0094-243X}},
  publisher    = {{AIP Publishing}},
  title        = {{{Serial hot gas welding - Heating and welding behaviour of a slot nozzle}}},
  doi          = {{10.1063/5.0192316}},
  volume       = {{3181}},
  year         = {{2024}},
}

@phdthesis{56654,
  abstract     = {{Residual stresses in directly joined laminates made of steel and carbon fiber reinforced epoxy resin reduce the interface and bond strength and thus have to be taken into account for the strength analysis of structural components. For a holistic description of residual stresses, a thermo-chemo-mechanical constitutive model is introduced in the present work and presented for the multi-scale analysis of residual stress patterns. In this context, the analysis of representative unit cells with regular and stochastic distribution of fibers gives information about the associated deformation and stress fields. Dehomogenization at macroscopically highly stressed regions, characterized by local stress peaks, reveals the effect of gradient deformation in the microstructure. Another aspect of this work is the development of FFT-based Galerkin methods, which allows an evaluation of the effect of defect densities, heterogeneities and morphologies on the applicability of the incremental hole drilling method. It could be demonstrated that the incremental hole drilling method is particularly sensitive to defects running along the surface.}},
  author       = {{Tinkloh, Steffen Rainer}},
  isbn         = {{9783757887650}},
  keywords     = {{Hybride Werkstoffverbunde, Eigenspanungen, FFT-basierte Galerkin-Methode, Mikromechanik, Finite-Elemente-Methode}},
  pages        = {{168}},
  publisher    = {{BoD - Books on Demand}},
  title        = {{{Mikromechanische Analyse von Eigenspannungen in direktgefügten kohlenstofffaserverstärkten Kunststoff-Stahl-Schichtverbunden}}},
  year         = {{2024}},
}

@article{57699,
  abstract     = {{<jats:p>The optimization of process parameters in powder Directed Energy Deposition (DED) is essential for achieving consistent, high-quality bead geometries, which directly influence the performance and structural integrity of fabricated components. As a subset of additive manufacturing (AM), the DED process, also referred to as laser metal deposition (LMD), enables precise, layer-by-layer material deposition, making it highly suitable for complex geometries and part repair applications. Critical parameters, such as the laser power, feed rate, powder mass flow, and substrate temperature govern the deposition process, impacting the bead height, width, contact angle, and dilution. Inconsistent control over these variables can lead to defects, such as poor bonding, dimensional inaccuracies, and material weaknesses, ultimately compromising the final product. This paper investigates the effects of various process parameters, specifically the substrate temperature, on bead track geometry in DED processes for stainless steel (1.4404). A specialized experimental setup, integrated within a DED machine, facilitates the controlled thermal conditioning of sample sheets. Using Design of Experiments (DoE) methods, individual bead marks are generated and analyzed to assess geometric characteristics. Regression models, including both linear and quadratic approaches, are constructed to predict machine parameters for achieving the desired bead geometry at different substrate temperatures. Validation experiments confirm the accuracy and reliability of the models, particularly in predicting the bead height, bead width, and contact angle across a broad range of substrate temperatures. However, the models demonstrated limitations in accurately predicting dilution, indicating the need for further refinement. Despite some deviations in measured values, successful fabrication is achieved, demonstrating robust bonding between the bead and substrate. The developed models offer insights into optimizing DED process parameters to achieve desired bead characteristics, advancing the precision and reliability of additive manufacturing technology. Future work will focus on refining the regression models to improve predictions, particularly for dilution, and further investigate non-linear interactions between process variables.</jats:p>}},
  author       = {{Chalicheemalapalli Jayasankar, Deviprasad and Gnaase, Stefan and Lehnert, Dennis and Walter, Artur and Rohling, Robin and Tröster, Thomas}},
  issn         = {{2075-4701}},
  journal      = {{Metals}},
  keywords     = {{additive manufacturing, direct energy deposition, laser metal deposition}},
  number       = {{12}},
  publisher    = {{MDPI AG}},
  title        = {{{Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling}}},
  doi          = {{10.3390/met14121353}},
  volume       = {{14}},
  year         = {{2024}},
}

@article{56089,
  abstract     = {{<jats:p>Additive manufacturing (AM) technologies enable near-net-shape designs and demand-oriented material usage, which significantly minimizes waste. This points to a substantial opportunity for further optimization in material savings and process design. The current study delves into the advancement of sustainable manufacturing practices in the automotive industry, emphasizing the crucial role of lightweight construction concepts and AM technologies in enhancing resource efficiency and reducing greenhouse gas emissions. By exploring the integration of novel AM techniques such as selective laser melting (SLM) and laser metal deposition (LMD), the study aims to overcome existing limitations like slow build-up rates and limited component resolution. The study’s core objective revolves around the development and validation of a continuous process chain that synergizes different AM routes. In the current study, the continuous process chain for DMG MORI Lasertec 65 3D’s LMD system and the DMG MORI Lasertec 30 3D’s was demonstrated using 316L and 1.2709 steel materials. This integrated approach is designed to significantly curtail process times and minimize component costs, thus suggesting an industry-oriented process chain for future manufacturing paradigms. Additionally, the research investigates the production and material behavior of components under varying manufacturing processes, material combinations, and boundary layer materials. The culmination of this study is the validation of the proposed process route through a technology demonstrator, assessing its scalability and setting a benchmark for resource-efficient manufacturing in the automotive sector.</jats:p>}},
  author       = {{Chalicheemalapalli Jayasankar, Deviprasad and Gnaase, Stefan and Kaiser, Maximilian Alexander and Lehnert, Dennis and Tröster, Thomas}},
  issn         = {{2075-4701}},
  journal      = {{Metals}},
  keywords     = {{additive manufacturing (AM), selective laser melting (SLM), laser metal deposition (LMD), hybrid manufacturing, process optimization, 316L, 1.2709}},
  number       = {{7}},
  publisher    = {{MDPI AG}},
  title        = {{{Advancements in Hybrid Additive Manufacturing: Integrating SLM and LMD for High-Performance Applications}}},
  doi          = {{10.3390/met14070772}},
  volume       = {{14}},
  year         = {{2024}},
}

@article{55743,
  abstract     = {{The use of hybrid materials as a combination of fibre-reinforced plastic (FRP) and metal is of great interest in order to meet the increasing demands for sustainability, efficiency, and emission reduction based on the principle of lightweight design. These two components can therefore be joined using the intrinsic joining technique, which is formed by curing the matrix of the FRP component. In this study, for the hybrid joint, unidirectionally pre-impregnated semi-finished products (prepregs) with duromer matrix resin and micro-alloyed HC340LA steel were used. In order to conduct a detailed investigation, the damage mechanisms of intrinsically produced fibre metal laminates (FMLs), a new clamping device, and a novel pressing tool were designed and put into operation. The prepregs were prestressed by applying a preloading force using a specially designed prestressing frame. Hybrid specimens were then produced and subjected to nanoindentation and a shear tensile test. In particular, the effect of the residual stress state by varying the defined prestressing force on the damage mechanisms was studied. The results showed that no fracture patterns occurred in the interface of the specimens without preloading as a result of curing at 120 °C, whereas specimens with preloading failed at the boundary layer in the tensile range. Nevertheless, all specimens cured at 160 °C failed at the boundary layer in the tensile range. Furthermore, it was proven that the force and displacement of the preloaded specimens were promisingly higher than those of the unpreloaded specimens.}},
  author       = {{Irmak, Hayrettin and Tinkloh, Steffen Rainer and Marten, Thorsten and Tröster, Thomas}},
  issn         = {{2504-477X}},
  journal      = {{Journal of Composites Science}},
  keywords     = {{CFRP, prestressing, fibre metal laminate, interface, prepreg, shear tensile test}},
  number       = {{8}},
  publisher    = {{MDPI AG}},
  title        = {{{Development of a Tool Concept for Prestressed Fibre Metal Laminates and Their Effect on Interface Failure}}},
  doi          = {{10.3390/jcs8080316}},
  volume       = {{8}},
  year         = {{2024}},
}

@inproceedings{65119,
  author       = {{Schöppner, Volker and Arndt, Theresa}},
  title        = {{{Experimental investigations on anvil-free ultrasonic welding for welding situations with one sided access}}},
  year         = {{2024}},
}

@book{65123,
  abstract     = {{<p> Inhalt Aktuelle rechtliche Rahmenbedingungen TA Luft – Wesentliche Änderungen, Herausforderungen, Konsequenzen in der Praxis und laufende Aktivitäten 1 Die Lösungsmittelbilanz bei VOC Anlagen als Nachweis der Einhaltung des Grenzwertes für diffuse Emissionen The solvent mass balance for VOC installations as verification of compliance with the limit value for fugitive emissions 11 Diffuse Emissionen Dichte Flanschverbindungen – Richtlinie VDI 2290 23 Technik zur Vermeidung und Verminderung von diffusen Emissionen – Regel- und Absperrarmaturen 37 Erstellung der Lösungsmittelbilanz im Kontext der 31. BImSchV – Rechtliche Anforderungen, praktische Herausforderungen und Unsicherheiten Preparation of the solvent balance in the context of the 31. BImSchV - legal requirements, practical challenges and uncertainties 45 Entwicklung einer analytischen Berechnungsmethode zur Auslegung thermoplastischer Flanschsysteme 61 VKA Control - Bewertung von Legionellenemissionen aus Verdunstungskühlanlagen: Neue Erkenntnisse und Methoden 71 Verbrennungsführung und Minderung organischer Emissionen 27. BImSchV versus Klimaschut... </p>}},
  editor       = {{Moritzer, Elmar and Bartmann, Finn and Riedl, Alexander}},
  isbn         = {{9783181024324}},
  publisher    = {{VDI Verlag}},
  title        = {{{Entwicklung einer analytischen Berechnungsmethode zur Auslegung thermoplastischer Flanschsysteme}}},
  doi          = {{10.51202/9783181024324}},
  year         = {{2024}},
}

@inproceedings{65125,
  abstract     = {{<jats:p>"In the course of environmental protection and the amendment of TA Luft, emissions from flange connections must be reduced (to L0.01). The design and calculation of steel flanges is easy to handle with the help of EN 1591-1 and EN 13555. However, these standards are not suitable in their current form for thermoplastic sealing joints, such as those used in natural gas supply. For this reason, lengthy and cost-intensive tests must currently be carried out to verify tightness and strength. The aim of a doctoral project is to develop a time-efficient and cost-effective analytical calculation method based on the existing standards. For this purpose, the energy-elastic material parameters of the steel must be replaced by elastoplastic material parameters of the thermoplastics and the calculation algorithm adapted accordingly. The problem is to be investigated with the aid of numerical structural simulations (FEM) and experimental tests."</jats:p>}},
  author       = {{Bartmann, Finn and Riedl, Alexander and Moritzer, Elmar}},
  booktitle    = {{22nd International Sealing Conference 2024}},
  publisher    = {{VDMA Fluidtechnik}},
  title        = {{{Development of an analytical calculation method for the design of thermoplastic flange systems}}},
  doi          = {{10.61319/pqdsdeu6}},
  year         = {{2024}},
}

@inproceedings{59159,
  author       = {{Moritzer, Elmar and Held, Christian}},
  booktitle    = {{DVS Plenarsitzung AG W4 Fügen von Kunststoffen}},
  publisher    = {{DVS}},
  title        = {{{Direktverschraubung additiv gefertigter Kunststoffbauteile}}},
  year         = {{2024}},
}

@inproceedings{57309,
  author       = {{Safranoglou, Ioannis and Stavroulakis, Alexis and Pottebaum, Jens and Ebel, Marcel and Lamprinakis, Georgios and Dimelli, Despina and Mania, Katerina}},
  booktitle    = {{2024 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}},
  publisher    = {{IEEE}},
  title        = {{{Augmented Reality for Real-Time Decision-Making in Flood Emergencies}}},
  doi          = {{https://doi.org/10.1109/ISMAR-Adjunct64951.2024.00032}},
  year         = {{2024}},
}

@article{52587,
  author       = {{Bodden, Eric and Pottebaum, Jens and Fockel, Markus and Gräßler, Iris}},
  issn         = {{1540-7993}},
  journal      = {{IEEE Security & Privacy}},
  keywords     = {{Law, Electrical and Electronic Engineering, Computer Networks and Communications}},
  number       = {{1}},
  pages        = {{69--72}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Evaluating Security Through Isolation and Defense in Depth}}},
  doi          = {{10.1109/msec.2023.3336028}},
  volume       = {{22}},
  year         = {{2024}},
}

@inproceedings{56176,
  author       = {{Sennefelder, Lisa and Meier, Heiko}},
  booktitle    = {{Begegnung}},
  editor       = {{Liedke, Gunnar and Bous, Barbara and Scholz, Martin}},
  pages        = {{78--90}},
  publisher    = {{ZIEL-Verlag}},
  title        = {{{Förderung einer Vertrauenskultur als Baustein im Gesundheitsmanagement? Ein erlebnispädagogisch orientiertes Konzept für Verwaltungsorganisationen}}},
  year         = {{2024}},
}

@inproceedings{61756,
  author       = {{Scheidemann, Claus and Hemsel, Tobias and Sextro, Walter}},
  location     = {{Hannover, Germany}},
  title        = {{{Characteristic behavior of lead-free and lead-containing piezo ring ceramics in ultrasonic transducers}}},
  year         = {{2024}},
}

@inbook{57154,
  author       = {{Asiimwe, Henry and Bode, Henrik and Bogere, Paul and Freitag, Christine and Mangeni, Teddy}},
  booktitle    = {{Bildungsmedien für Erwachsene Educational Media for Adults }},
  editor       = {{Andrzejewska, Ewa and Matthes, Eva and Schütze, Sylvia and Van Wiele, Jan}},
  isbn         = {{978-3-7815-2670-9}},
  pages        = {{245–255}},
  publisher    = {{Verlag Julius Klinkhardt}},
  title        = {{{Which Media for Whom? The Implementation of Microgrids as a Trigger of Transformational Adult Learning Opportunities in Formal, Informal and Situational Settings in Times of Change}}},
  doi          = {{10.35468/6126}},
  year         = {{2024}},
}

@inproceedings{54650,
  abstract     = {{<jats:p>Abstract. Reducing the weight of vehicles can significantly lower the energy or fuel consumed and thus the emissions during operation. One possibility to assess this is the use of a property adapted multi-material systems containing high strength steel, light metals like aluminium or magnesium and fibre reinforced plastics. While expanding the number of materials used new challenges arise for the production and furthermore the joining technology to manufacture the vehicle made of the multi-material systems. One approach to overcome these challenges is to use innovative and adaptable joining techniques which allows the manufacturing of joints of different material combinations. Extensive research activities on the two stage thermo-mechanical joining process with adaptable joining elements was able to demonstrate the great potentials in terms of joining dissimilar materials with good strength. The previously kinematic and path-based fabrication of auxiliary joining elements is modified in this publication to a form-based approach with a perspective of establishing an efficient process chain using easily and cheaply available rods. Based on the new approach to produce the auxiliary joining elements, it can be demonstrated that a reproducible production of the geometry is possible for the investigated steel as well as aluminium material. </jats:p>}},
  author       = {{Borgert, Thomas and Nordieker, Ansgar Bernhard and Homberg, Werner}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  location     = {{Toulouse}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Form-based manufacturing of aluminium and steel auxiliary joining elements as the basis for an efficient joining operation}}},
  doi          = {{10.21741/9781644903131-180}},
  year         = {{2024}},
}