@inbook{66762,
author = {{Morrien, Rita}},
booktitle = {{Literatur in Westfalen. Beiträge zur Forschung 22}},
editor = {{Höppner, Stefan and Maxwill, Arnold}},
isbn = {{978-3-8498-2149-4}},
pages = {{429--438}},
publisher = {{Aisthesis Verlag}},
title = {{{"Future Fresko" - Charlotte Kraffts Münsterland-Blog MOMUMENT als dystopische Heimatliteratur}}},
volume = {{22}},
year = {{2026}},
}
@inproceedings{66955,
author = {{Lutters, Nicole and Riese, Julia and Boz, Özgün Alkim}},
booktitle = {{Book of Full Paper 13th International Conference on Distillation & Absorption}},
pages = {{709--714}},
title = {{{Electrification of Separation Column with 3D-Printed Ceramic Packings}}},
doi = {{10.83455/2026DISTILLATIONADSORPTION}},
year = {{2026}},
}
@inproceedings{67019,
abstract = {{In order to make rail transportation more attractive compared to motorized private transport, intelligent solutions are required across the entire mobility chain. Train stations, as places of connection and transfer, offer the greatest potential in this context. Thus, the deployment of autonomous service robots at train stations offers a wide range of possibilities for supporting passengers on their journeys by rail, for example, by providing information, accompanying them to the next link in the mobility chain, or transporting their luggage. Since such robots are battery-powered, one challenge is to carefully plan activities based on the remaining battery capacity. Therefore, the aim of this work is to predict battery usage and, in turn, battery state, in order to inform passengers, and to enable intelligent planning of its usage.In this work, realistic operational conditions of a service robot are systematically assessed through measurements on the service robot itself and through passenger surveys at a train station. The estimated operational conditions are experimentally replicated to simulate the heterogeneous use of the battery pack, while acquiring condition monitoring data throughout its use. The battery pack is modeled based on the single particle model, which can robustly predict the battery state by simulating its usage considering past operational conditions. The approach is validated using experimental data obtained from simulating realistic usage. On the one hand, additional battery packs are employed, and on the other hand, the load is varied. The advantage of this approach lies in the ability to account for future changes, such as higher loads than anticipated, to provide robust predictions.This enables the intelligent use of service robots, offering passengers an improved service experience at train stations.}},
author = {{Löwen, Alexander and Aleman-Gallegos, Enrique and Aimiyekagbon, Osarenren and Wachsmuth, Sven and Sextro, Walter}},
booktitle = {{PHM Society European Conference}},
issn = {{2325-016X}},
location = {{Oslo}},
number = {{1}},
pages = {{1--10}},
publisher = {{PHM Society}},
title = {{{Prediction and simulation of battery pack usage for intelligent service robot deployment at a train station}}},
doi = {{10.36001/phme.2026.v9i1.4952}},
volume = {{9}},
year = {{2026}},
}
@article{58438,
abstract = {{This study presents a numerical approach using a 3D finite element model to quantify the remaining clamp load of a plastic nut joint after a specific time. The viscoelastic relaxation of a thermoplastic nut, which is predominantly screwed on a welding stud, is described by a material card using Prony Series. Prony Series are derived from experimental dynamical mechanical analysis with different moisture and fiber contents of the thermoplastic. Since plastic nuts usually do not have preformed threads, the increased temperatures and resulting stresses from the thread-forming process are considered in the simulation. An FE model is created and verified by substrate stress relaxation tests. Experimental clamp load measurements with miniature compression load cells verify the clamp load prediction and show a good agreement. The developed model is used to analyze the clamp load distribution within the threads and reveals an almost even distribution within the threads.}},
author = {{Wippermann, Jan and Meschut, Gerson}},
issn = {{0043-2288}},
journal = {{Welding in the World}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber contents}}},
doi = {{10.1007/s40194-025-01928-4}},
year = {{2025}},
}
@article{58492,
abstract = {{A coupled finite plasticity ductile damage and failure model is proposed for the finite element simulation of clinch joining, which incorporates stress-state dependency and regularisation by gradient-enhancement of the damage variable. Ductile damage is determined based on a failure indicator governed by a failure surface in stress space. The latter is exemplary chosen as a combination of the Hosford–Coulomb and Cockcroft–Latham–Oh failure criteria for the high and low stress triaxiality range, respectively, to cover the wide stress range encountered in forming. Damage is coupled to elasto-plasticity to capture the damage-induced degradation of the stiffness and flow stress. This affects the material behaviour up to failure, thereby realistically altering the stress state. Consequently, especially for highly ductile materials, where substantial necking and localisation precede material fracture, the failure prediction is enhanced. The resulting stress softening is regularised by gradient-enhancement to obtain mesh-objective results. The analysis of a modified punch test experiment emphasises how the damage-induced softening effect can strongly alter the actual stress state towards failure. Moreover, the impact of successful regularisation is shown, and the applicability of the damage and failure model to clinch joining is proven.}},
author = {{Friedlein, Johannes and Mergheim, Julia and Steinmann, Paul}},
issn = {{0022-5096}},
journal = {{Journal of the Mechanics and Physics of Solids}},
keywords = {{Finite plasticity, Ductile damage, Gradient-enhancement, Stress-state dependency, Failure}},
publisher = {{Elsevier BV}},
title = {{{Modelling of stress-state-dependent ductile damage with gradient-enhancement exemplified for clinch joining}}},
doi = {{10.1016/j.jmps.2025.106026}},
volume = {{196}},
year = {{2025}},
}
@article{59599,
abstract = {{Background: Agility is crucial in game sports, requiring both motor and cognitive skills. Athletes must perceive and process information to adapt movements, yet traditional agility tests often lack cognitive and multidirectional demands. Additionally, modern test systems are mostly stationary. This study evaluated the novel and portable “Functional Agility Square Test” (FAST) for validity, reliability, and usefulness. Methods: To assess discriminant validity, 22 game sports (GS) and 22 non-game sports (NGS) athletes participated in one session. Test–retest reliability was examined with 36 GS athletes (20 female) across three sessions. Participants performed cognitive (FAST_COG), preplanned (FAST_MOT), and randomized (FAST_SAT) reactive change-of-direction tasks, each repeated three times per session. Results: Results showed significantly lower response times (RTs) in GS compared to NGS (p < 0.05). Mean RTs indicated moderate relative reliability (ICC 0.50–0.74), while medians showed moderate to good reliability (ICC 0.59–0.83). Usefulness was evident from the first session (FAST_MOT) or from the third session (FAST_SAT) based on median RTs. Conclusions: Thus, the FAST seems to be valid, reliable, and sensitive for GS-based agility assessment. Its portable setup enables ecologically valid field testing. Future research should further increase task complexity to better simulate game conditions.}},
author = {{Müller, Romina Desiree and Büchel, Daniel and Baumeister, Jochen}},
issn = {{2411-5142}},
journal = {{Journal of Functional Morphology and Kinesiology}},
number = {{2}},
publisher = {{MDPI AG}},
title = {{{Validation, Reliability, and Usefulness of the Functional Agility Square Test [FAST]}}},
doi = {{10.3390/jfmk10020126}},
volume = {{10}},
year = {{2025}},
}
@article{59805,
abstract = {{The LLC converter achieves the highest efficiency in resonant operation. Conventionally, the input DC-link voltage is controlled to operate the LLC converter at resonance for the given operating point. However, the DC-link capacitor voltage shows a low-frequency voltage ripple (typically the second harmonic of grid frequency) in cascaded converters so that the LLC has to adapt its switching frequency within the grid period. Conventionally, the LLC converter operates 50% of the time above the resonant frequency of 40 kHz and 50% below resonance. Both operating conditions cause additional losses. However, experimental measurements indicate that the below-resonance operation causes significantly higher losses than above-resonance operation due to much higher primary and secondary transformer currents. It is better to increase the DC-link voltage by 30% of the peak-to-peak low-frequency voltage ripple to mostly avoid below-resonance operation (i.e., from 650 V to 680 V in this case). With the proposed control, the LLC converter operates about 75% of time over resonance and only 25% of time below resonance. The overall efficiency increases from 97.66% to 97.7% for the average operating point with an 80% load current. This corresponds to a 2% total loss reduction. Finally, the peak resonance capacitor voltage decreases from 910 V to 790 V (−13%).}},
author = {{Unruh, Roland and Böcker, Joachim and Schafmeister, Frank}},
issn = {{2079-9292}},
journal = {{Electronics}},
keywords = {{adaptive DC-link voltage, cascaded H-bridge, resonant operation, Full-Bridge Converter, loss minimization, LLC Resonant Converter, peak capacitor voltage reduction}},
number = {{8}},
publisher = {{MDPI AG}},
title = {{{Adaptive DC-Link Voltage Control for 22 kW, 40 kHz LLC Resonant Converter Considering Low-Frequency Voltage Ripple}}},
doi = {{10.3390/electronics14081517}},
volume = {{14}},
year = {{2025}},
}
@inproceedings{59876,
abstract = {{Abstract. Clinching is a conventional mechanical joining process used in Multi-Material Design in the automotive sector. To receive the desired geometrical characteristics in clinch joints, correct process design is required. To reduce the cost of finding fitting process parameters, numerical simulation of the joining process can be used to predict the geometrical characteristics, such as interlock, instead of an experimental approach. These numerical simulation models consume computational resources and time. In this paper machine learning is used to find correlations between features of the joining process and geometrical characteristics in the joint. This serves the purpose of predicting the joint’s target values more resource-efficiently. Modelling with machine learning requires a structured dataset with sufficient parameter variation. To create this data base the following procedure was used. For joining partners, a HC340LA steel alloy with 2 mm material thickness was used punch-sided and an EN AW 5182 aluminum alloy with 1.5 mm thickness was used die-sided. For this combination a suitable tool combination and punch distance was experimentally identified. A finite element model was created to reproduce the joining process. For the modelling of the material of both joining partners flow curves determined by Vallaster et al. were used [1]. The punch and die were recreated digitally by opto-electronic measurements and transformed into a mesh suitable for numerical simulation. The model was validated by comparing process values like the maximum force applied by the punch and geometrical values in the joints cross section. Additionally, a process window for suitable punch distances was experimentally determined. Afterwards a variation of 70 different process designs was conducted with variants inside and outside the process window. The results were used for training, testing and validating various machine learning models. All models competed against each other to find the must suited model to predict every geometric value. To ensure good model performances and prevent the model from overfitting, a tenfold cross validation was used for validating the models. Analysis of the results gives the following key findings: i) Good predictability is reached for the interlock and sheet thickness of the joint. ii) Prediction neck thickness showed low error values, but also low correlation. iii)The prediction of those key values for evaluating clinch joint characteristics by machine learning models positively impacts needed resources in comparison to numerical models.}},
author = {{Ludwig, Jean-Patrick and Tsi-Nda Lontsi, Seraphin and Neumann, Jonas and Kappis, Lukas and Scharr, Christian and Flügge, Wilko and Merklein, Marion and Meschut, Gerson}},
booktitle = {{Materials Research Proceedings}},
issn = {{2474-395X}},
publisher = {{Materials Research Forum LLC}},
title = {{{Data driven prognosis of clinch joints in multi-material design}}},
doi = {{10.21741/9781644903599-157}},
volume = {{54}},
year = {{2025}},
}
@article{58531,
abstract = {{Zusammenfassung
Die fortschreitende Digitalisierung stellt Schulen vor Herausforderungen, insbesondere bei der Nutzung digitaler Medien in unterrichtlichen Lehr- und Lernprozessen mit dem Ziel, den (über-) fachlichen Kompetenzerwerb aller Schüler*innen zu unterstützen. Betrachtet man die digitalen Kompetenzen, zeigt sich, dass auch diese sozialen Disparitäten unterliegen. Dennoch lassen sich in ICILS organisational resiliente Schulen identifizieren, deren Schüler*innen trotz herausfordernder Schüler*innenkomposition überdurchschnittliche digitale Kompetenzen erreichen. Studien, die fachspezifische Kompetenzen untersuchen, lassen erkennen, dass organisational resiliente Schulen gemeinsame Merkmale aufweisen. Ein Merkmal, das in diesem Zusammenhang bedeutsam erscheint, ist die Gestaltung von Unterrichtsqualitätsmerkmalen. Digitale Kompetenzen erscheinen diesbezüglich unerforscht, sodass der vorliegende Beitrag mittels Daten aus der BMBF-geförderten qualitativen ICILS-Vertiefungsstudie UneS-ICILS 2018 (Unerwartbar erfolgreiche Schulen im digitalen Wandel) Basisdimensionen von Unterrichtsqualität an resilienten Schulen in Bezug auf digitale Kompetenzen untersucht. Für die Analyse wurden 22 leitfadengestützte Interviews mit Lehrkräften und sieben Gruppeninterviews mit Schüler*innen im Hinblick auf eine ‚effiziente Klassenführung‘, ‚kognitive Aktivierung‘ und ‚konstruktive Unterstützung‘ inhaltsanalytisch ausgewertet. Im Ergebnis zeigt die Analyse der Dimension ‚effiziente Klassenführung‘, dass sich u. a. die Organisation und Struktur mittels digitaler Medien wie beispielsweise durch den Einsatz digitaler Lernplattformen als bedeutende Faktoren herausstellen. Hinsichtlich der ‚kognitiven Aktivierung‘ wird der Einsatz digitaler Tools für das Anknüpfen an individuelles Vorwissen als bedeutend hervorgehoben. Darüber hinaus zeigt sich bei der Dimension ‚konstruktive Unterstützung‘ die Förderung des selbstgesteuerten Lernens und das Ausbilden von Unterstützungsstrukturen zum (kooperativen) Lernen mit digitalen Medien als bedeutsam. Induktiv ergänzt wurde die Dimension ‚Inhaltswahl und selektive Fokussierung‘, die die hohe Relevanz des Erwerbs digitaler Kompetenzen im Unterricht an den resilienten Schulen verdeutlicht.}},
author = {{Drossel, Kerstin and Niemann, Jan and Oldak, Anna and Eickelmann, Birgit}},
issn = {{2190-6890}},
journal = {{Zeitschrift für Bildungsforschung}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Basisdimensionen der Unterrichtsqualität im Kontext des Erwerbs digitaler Kompetenzen an resilienten Schulen}}},
doi = {{10.1007/s35834-024-00468-z}},
year = {{2025}},
}
@article{60179,
author = {{Weber, KS and Schlesinger, S and Goletzke, J and Straßburger, K and Zaharia, OP and Trenkamp, S and Wagner, R and Lieb, W and Buyken, Anette and Roden, M and Herder, C and group, GDS}},
issn = {{1475-2840}},
journal = {{Cardiovasc Diabetol}},
number = {{1}},
pages = {{53}},
title = {{{Associations of carbohydrate quality and cardiovascular risk factors vary among diabetes subtypes.}}},
volume = {{24}},
year = {{2025}},
}
@article{60180,
author = {{Kranz, RM and Kettler, C and Anand, C and Koeder, C and Husain, S and Schoch, N and Buyken, Anette and Englert, H}},
issn = {{0260-1060}},
journal = {{Nutr Health}},
number = {{1}},
pages = {{175--186}},
title = {{{Effect of a controlled lifestyle intervention on medication use and costs: The Healthy Lifestyle Community Program (cohort 2).}}},
volume = {{31}},
year = {{2025}},
}
@phdthesis{63856,
abstract = {{Electron energy-loss spectroscopy (EELS) is an advanced analytical technique in transmission electron microscopy, as it provides insights into material characteristics, such as electronic properties or elemental composition, at the atomic scale. The precision of every EELS analysis, however, is inherently limited by noises and blur. This thesis offers a comprehensive understanding of the noise, which is particularly valuable at low dwell times necessary for beam sensitive materials and for electron-matter interactions with low frequency of occurrence, where the noise dominates the measurement. Additionally, correlations encountered in the noise of an EELS measurement are described from both a theoretical and experimental perspective. These correlations are caused by a convolution of the noisy signal with the detector point spread function. Methods for characterizing key noise parameters of typical detectors are described, allowing the noise model to be tailored to any EELS detector. Ultimately, a novel deconvolution method enabling significant sharpening and denoising of EELS measurements is introduced and demonstrated. Its efficiency is further validated on both simulation and experimental data. The described advancement offered by the proposed deconvolution method enables the extension of current electron microscope capabilities, facilitating analysis that would be unfeasible with existing deconvolution techniques.}},
author = {{Zietlow, Christian}},
publisher = {{Universitätsbibliothek Paderborn}},
title = {{{A novel Lagrangian-based method for the deconvolution of electron energy-loss spectra}}},
doi = {{10.17619/UNIPB/1-2438}},
year = {{2025}},
}
@article{63882,
author = {{Dinkelbach, Lars and Wudy, Stefan A. and Hartmann, Michaela F. and Libuda, Lars and Föcker, Manuel and Hebebrand, Johannes and Hinney, Anke and Nöthlings, Ute and Alexy, Ute and Grasemann, Corinna and Hirtz, Raphael}},
issn = {{0165-0327}},
journal = {{Journal of Affective Disorders}},
publisher = {{Elsevier BV}},
title = {{{Urinary steroid metabolome shows adrenal, gonadal, and neuroactive steroid dysregulation in adolescents with depressive symptoms}}},
doi = {{10.1016/j.jad.2025.120867}},
volume = {{399}},
year = {{2025}},
}
@article{64098,
author = {{Scheideler, Christian and Padalkin, Andreas and Kumar, Manish}},
journal = {{Reconfiguration and locomotion with joint movements in the amoebot model. Auton. Robots 49(3): 22 (2025)}},
title = {{{Reconfiguration and locomotion with joint movements in the amoebot model. Auton. Robots 49(3): 22 (2025)}}},
year = {{2025}},
}
@inproceedings{64094,
author = {{Scheideler, Christian and Artmann, Matthias and Maurer, Tobias and Padalkin, Andreas and Warner, Daniel}},
title = {{{AmoebotSim 2.0: A Visual Simulation Environment for the Amoebot Model with Reconfigurable Circuits and Joint Movements (Media Exposition). }}},
year = {{2025}},
}
@inproceedings{62728,
author = {{Müller, Laura and Hinterthaner, Marc and Ortlieb, Eduard and Mohnfeld, Norman and Schultz, Andreas Maximilian and Uhe, Johanna and Koepler, Oliver and Mozgova, Iryna}},
booktitle = {{IFIP Advances in Information and Communication Technology}},
isbn = {{9783032097033}},
issn = {{1868-4238}},
pages = {{140--150}},
publisher = {{Springer Nature Switzerland}},
title = {{{Getting Things Done: How to Make Simulation Data FAIR and Ready to Reuse}}},
doi = {{10.1007/978-3-032-09704-0_14}},
year = {{2025}},
}
@inproceedings{58844,
author = {{Schmelzle, Lars and Beule, Felix and Possart, Gunnar and Teutenberg, Dominik and Mergheim, Julia and Meschut, Gerson}},
booktitle = {{25. Kolloquium: Gemeinsame Forschung in der Klebtechnik}},
location = {{Köln}},
title = {{{Methodenentwicklung zur Simulation von hyperelastischen Klebverbindungen unter Crashbelastung}}},
year = {{2025}},
}
@inproceedings{59587,
abstract = {{Abstract. As a widely used sheet metal in clinched joints within the automotive industry, the aluminum alloy EN AW-6014 has been the focus of numerous studies. High-cycle fatigue (HCF) is a critical aspect when assessing the durability of clinched joints. In the present work, the HCF behavior of EN AW-6014 T4 was explored both experimentally and numerically. To model the fatigue behavior, Lemaitre’s two-scale damage model was used. Two key parameters, damage strength and damage exponent, are necessary for numerical investigations of HCF behavior. These parameters were determined through experiments with flat specimens and subsequently validated within a numerical model of clinched joints. The numerical results for fatigue match the experimental ones of the clinched joints quite well.}},
author = {{Chen, Chin and Schlichter, Malte Christian and Harzheim, Sven and Hofmann, Martin and Bobbert, Mathias and Meschut, Gerson and Wallmersperger, Thomas}},
booktitle = {{Materials Research Proceedings}},
issn = {{2474-395X}},
publisher = {{Materials Research Forum LLC}},
title = {{{High-cycle fatigue testing and parameter identification for numerical simulation of aluminum alloy EN AW-6014}}},
doi = {{10.21741/9781644903551-23}},
volume = {{52}},
year = {{2025}},
}
@inproceedings{60440,
abstract = {{The versatile self-pierce riveting (V-SPR) is a further development of semi-tubular self-pierce riveting. V-SPR enables adaptation to changing boundary conditions, such as a change in the material thickness combination, without varying the rivet die combination due to increased punch actuation and the use of multi-range capable rivets [1]. The inner punch first sets the rivet. The outer punch then forms the rivet head to the respective sheet thickness. For this, the rivet requires a hard shank and a ductile rivet head, which is achieved by an inductive local hardening process [2]. Until now, the joint formation of rivets with graded hardness profile has been challenging to estimate in the FEM simulation due to the inhomogeneous material conditions in the rivet. In this study, a method capable of reproducing the experimentally determined hardness levels of rivets in detail is shown. This FE model enables the realistic modelling of the mechanical properties of the rivet on the basis of the hardness profile in order to predict the correct deformation processes and stresses during the riveting process. First, the detailed experimental hardness mapping of the locally heat-treated rivets is transferred into the FE model. The FEM material model can predict the local strength of the rivet based on hardness by scaling the flow curves. To estimate the predictive capability of the FEM model, the joint formation of rivets with different graded hardness profiles is compared experimentally and simulative. Based on the validated model, the influence of different rivet hardness profiles on the joint formation is analysed numerically. By adapting the material model, a high level of correlation between the experiment's joint formation and the simulation can be achieved.}},
author = {{Holtkamp, Pia Katharina and Bielak, Christian Roman and Bobbert, Mathias and Meschut, Gerson}},
booktitle = {{Materials Research Proceedings}},
issn = {{2474-395X}},
publisher = {{Materials Research Forum LLC}},
title = {{{Simulation of the joining process of graded hardened multi-range capable rivets}}},
doi = {{10.21741/9781644903599-153}},
volume = {{54}},
year = {{2025}},
}
@inproceedings{62079,
abstract = {{This paper investigates two modeling approaches for the simulation of the deformation and decomposition behavior of preconsolidated rovings above the thermoplastic matrix{\textquoteright} melting temperature. This is crucial for capturing the local material structure after processes introducing highly localized deformation such as mechanical joining processes between metal and fiber reinforced thermoplastics (FRTP). A generic finite element (FE) model is developed, incorporating interfaces discretized through either cohesive zone (CZ) elements or Coulomb friction-based contacts. The material parameters for the FE elements are derived from the initial stiffness of a statistical volume element (SVE) at micro scale modelled with an Arbitrary-Lagrange-Eulerian method for three load cases. The CZ properties calculated are based on the shear viscosity of the composite. The CZ and contact modelling approaches are evaluated using three load cases of the SVE, comparing force-displacement curves. Under simple loading conditions, such as normal pressure tension and bending, both methods produce similar results; however, in complex load cases, the CZ approach shows clear advantages in handling interface interactions and shows robust simulations. The CZ approach thus presents a promising method for simulating roving decomposition in FRTP-metal joining applications above the matrix{\textquoteright} melting temperature.}},
author = {{Gröger, Benjamin and Gerritzen, Johannes and Hornig, Andreas and Gude, Maik}},
booktitle = {{Sheet Metal 2025}},
editor = {{Meschut, G. and Bobbert, M. and Duflou, J. and Fratini, L. and Hagenah, H. and Martins, P. and Merklein, M. and Micari, F.}},
isbn = {{978-1-64490-354-4}},
keywords = {{Finite Element Method (FEM), Process, Thermoplastic Fiber Reinforced Plastic}},
pages = {{268–275}},
publisher = {{Materials Research Forum LLC, Materials Research Foundations}},
title = {{{Modeling approaches for the decomposition behavior of preconsolidated rovings throughout local deformation processes}}},
doi = {{10.21741/9781644903551-33}},
year = {{2025}},
}