@article{58388,
  author       = {{Austermeier, Laura and Brüning, Florian and Schöppner, Volker and Schlüter, Alexander}},
  journal      = {{Kunststoffland NRW Report}},
  number       = {{03/2024}},
  pages        = {{24--25}},
  title        = {{{Kunststoffrecycling im Lehrangebot der Universität Paderborn }}},
  year         = {{2024}},
}

@inproceedings{59245,
  author       = {{Polyvianchuk, Andrii and Petruk, Vasyl and Polyvianchuk, Natalia and Yurii, Kovalenko and Semenenko, Roman and Arsenyeva, Olga}},
  booktitle    = {{Chemical Engineering Transactions}},
  pages        = {{667--672}},
  title        = {{{Approach for Optimal Selection of Innovative Actions for Residential Heating Systems}}},
  doi          = {{10.3303/CET24114112}},
  volume       = {{114}},
  year         = {{2024}},
}

@article{59243,
  abstract     = {{Most single-screw extruders used in the plastics processing industry are plasticizing extruders, designed to melt solid pellets or powders within the screw channel during processing. In many cases, the efficiency of the melting process acts as the primary throughput-limiting factor. If the material melts too late in the process, it may not be sufficiently mixed, resulting in substandard product quality. Accurate prediction of the melting process is therefore essential for efficient and cost-effective machine design. A practical method for engineers is the modeling of the melting process using mathematical–physical models that can be solved without complex numerical methods. These models enable rapid calculations while still providing sufficient predictive accuracy. This study revisits the modified Tadmor model by Potente, which describes the melting process and predicts the delay-zone length, extending from the hopper front edge to the point of melt pool formation. Based on extensive experimental investigations, this model is adapted by redefining the flow temperatures at the phase boundary and accounting for surface porosity at the beginning of the melting zone. Additionally, the effect of variable solid bed dynamics on model accuracy is examined. Significant model improvements were achieved by accounting for reduced heat flow into the solid bed due to the porous surface structure in the solid conveying zone, along with a new assumption for the flow temperature at the phase boundary between the solid bed and melt film.}},
  author       = {{Schöppner, Volker and Brüning, Florian and Knaup, Felix}},
  journal      = {{Polymers}},
  keywords     = {{delay zone, extrusion, melting modeling}},
  number       = {{22}},
  pages        = {{3130}},
  title        = {{{Improvement in an Analytical Approach for Modeling the Melting Process in Single-Screw Extruders}}},
  doi          = {{10.3390/polym16223130}},
  volume       = {{16}},
  year         = {{2024}},
}

@inbook{56177,
  author       = {{Knoll, Lisa}},
  booktitle    = {{The Routledge International Handbook of Valuation and Society}},
  editor       = {{Krüger, Anne and Peetz, Thorsten and Schaefer, Hilmar}},
  pages        = {{316--325}},
  publisher    = {{Routledge}},
  title        = {{{Valuation and Sustainability}}},
  year         = {{2024}},
}

@book{58692,
  editor       = {{Alpsancar, Suzana}},
  isbn         = {{ISBN 978-3-7560-1830-7}},
  publisher    = {{Nomos}},
  title        = {{{ Der Sog des Neuen und der Schock des Alten Jahrbuch Technikphilosophie 2024 }}},
  volume       = {{10. Jahrgang}},
  year         = {{2024}},
}

@inproceedings{53096,
  author       = {{Arns, Rahel}},
  location     = {{Aachen}},
  title        = {{{The role of phenylnitrene in the formation of polycyclic aromatic nitrogen containing hydrocarbons}}},
  year         = {{2024}},
}

@article{60553,
  author       = {{Hoener, Martin and Bierkandt, Thomas and Shaqiri, Shkelqim and Kasper, Tina}},
  issn         = {{1540-7489}},
  journal      = {{Proceedings of the Combustion Institute}},
  number       = {{1-4}},
  publisher    = {{Elsevier BV}},
  title        = {{{N2O oxidized combustion of ethylene: Detailed laminar flame structure and the significance of oxidizer decomposition kinetics for modeling}}},
  doi          = {{10.1016/j.proci.2024.105683}},
  volume       = {{40}},
  year         = {{2024}},
}

@inbook{60569,
  abstract     = {{Ein zentrales Ziel des Mathematikunterrichts der Grundschule ist es, Kinder anzu-
regen, rechnerisch zu denken, anstatt zählend zu rechnen. Dies erfordert ein Ver-
ständnis für mathematische Operationen sowie die Fähigkeit, Aufgaben in Bezie-
hung zueinander zu setzen und Merkmale der Aufgaben zu berücksichtigen. Dazu
können digitalgestützte Lernumgebungen zur Förderung des Verständnisses der Ad-
dition beitragen, die Kinder anregen, Aufgaben zu verändern und die in verschiede-
nen Darstellungen erkennbaren Beziehungen zu beschreiben und zu erklären. Der
Beitrag erläutert Gestaltungskriterien und zeigt erste Erkenntnisse in Bezug auf die
von Kindern erkannten operativen Beziehungen.}},
  author       = {{Dettelbach, Andrea and Häsel-Weide, Uta}},
  booktitle    = {{Förderung prozessbezogener Kompetenzen mit digitalen Medien. Mit mathematischen Objekten und Werkzeugen arbeiten.}},
  editor       = {{Bierbrauer, Christiana  and Ladel, Silke and Platz, Melanie}},
  isbn         = {{978-3-95987-323-9}},
  pages        = {{182 -- 198}},
  publisher    = {{WTM - Verlag für wissenschaftliche Texte und Medien}},
  title        = {{{Operative Beziehungen erkennen, beschreiben und nutzen - Initiierung von Lernprozessen unter Einbeziehung der App "Rechenfeld"}}},
  doi          = {{10.37626/GA9783959873246.0}},
  year         = {{2024}},
}

@inproceedings{56958,
  author       = {{Neukötter, Moritz and Jesinghausen, Steffen and Schmid, Hans-Joachim}},
  location     = {{Leeds}},
  title        = {{{Particle-induced Instabilities in Uniaxially Elongated Thermoplastic Polymer Blends }}},
  year         = {{2024}},
}

@inproceedings{60617,
  author       = {{Hermelingmeier, Lucas and Aßmuth, Verena and Teutenberg, Dominik and Meschut, Gerson}},
  booktitle    = {{77th IIW Annual Assembly and International Conference on Welding and Joining}},
  location     = {{Rhodos, Greece}},
  title        = {{{The influence of embedded fiber optic sensors on the global mechanical behavior of adhesively bonded joints}}},
  year         = {{2024}},
}

@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}},
}

@inproceedings{61350,
  author       = {{Massopo, Orlando and Schmid, Hans-Joachim and Reddemann, Manuel and Kneer, Reinhold and Bieber, Malte}},
  publisher    = {{6th International Symposium Gas-Phase Synthesis of Functional Nanomaterials: Fundamental Understanding, Modeling and Simulation, Scale-up and Application}},
  title        = {{{Influence of Dispersion Gas and Resulting Reaction Zone on the Particle Formation in Spray Flame Synthesis (Presentation)}}},
  year         = {{2024}},
}

@misc{61345,
  author       = {{Zink, Timm Florian and Massopo, Orlando and Jesinghausen, Steffen and Schmid, Hans-Joachim}},
  title        = {{{Untersuchung des Lösungsmitteleinflusses auf die Synthese von Manganoxid-Nanopartikeln in der Flammenspraypyrolyse}}},
  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}},
}

@article{54649,
  author       = {{Borgert, Thomas and Nordieker, Ansgar Bernhard and Wiens, Eugen and Homberg, Werner}},
  issn         = {{2666-3309}},
  journal      = {{Journal of Advanced Joining Processes}},
  publisher    = {{Elsevier BV}},
  title        = {{{Investigations to improve the tool life during thermomechanical and incremental forming of steel auxiliary joining elements}}},
  doi          = {{10.1016/j.jajp.2024.100185}},
  volume       = {{9}},
  year         = {{2024}},
}

@article{61413,
  abstract     = {{Climate change has led to a large number of countries deciding to reduce carbon dioxide (CO<jats:sub>2</jats:sub>) emissions significantly. As the mobility sector is a major contributor to CO<jats:sub>2</jats:sub>, various strategies are being pursued to achieve the climate targets set. An increasingly applied lightweight design method is the use of multi-material constructions. To join these structures, mechanical joining technologies such as self-pierce riveting are being used. As a result of the currently rigid tool systems, which cannot react to changing boundary conditions, a large number of rivet–die combinations is required to join the rising number of materials as well as material thickness combinations. Thus, new, versatile joining technologies are needed that can react to the described changes. The versatile self-piercing riveting (V-SPR) process is one possible approach. In this process, different material thicknesses can be joined by using a multi-range capable rivet which is set by a joining system with extended actuator technology. In this study, the V-SPR joining process is analysed numerically according to the influence of the geometrical rivet parameters on the joints characteristics as well as the resulting material flow. The investigations showed that the shank geometry has a decisive influence on the expansion of the rivet. Furthermore, the rivet length could be proven to be an influencing factor. By changing the head radii and the protrusion height, the forming behaviour of the rivet head onto the punch-sided joining part could be improved and thus the formation of air pockets was prevented. Based on the numerical investigations, a novel rivet geometry was developed and produced by machining. Subsequently, experimentally produced joints were analysed according to their joint formation and load-bearing capacity.}},
  author       = {{Kappe, Fabian and Bobbert, Mathias and Meschut, Gerson}},
  issn         = {{0954-4089}},
  journal      = {{Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering}},
  publisher    = {{SAGE Publications}},
  title        = {{{Investigation of the influence of the rivet geometry on joint formation for a versatile self-piercing riveting process}}},
  doi          = {{10.1177/09544089241263141}},
  year         = {{2024}},
}

@inproceedings{57898,
  author       = {{Kruse, Simon and Elsner, Andreas and Paul, Andreas and Kasper, Tina}},
  keywords     = {{Haushaltskältegeräte, Energieaufnahme, Alterung}},
  location     = {{Dresden}},
  title        = {{{Anstieg der Energieaufnahme von Haushaltskältegeräten}}},
  year         = {{2024}},
}

