@phdthesis{53133,
  author       = {{Schall, Christoph Wilhelm Theodor}},
  title        = {{{Materialschonende Verarbeitung von Thermoplasten auf Wave-Schnecken}}},
  doi          = {{978-3-8440-9354-4}},
  year         = {{2024}},
}

@phdthesis{53135,
  author       = {{Schadomsky, Michael}},
  title        = {{{Experimentelle und simulative Analyse der Mischwirkung in Einschneckenextrudern}}},
  doi          = {{978-3-8440-9334-6}},
  year         = {{2024}},
}

@inproceedings{53394,
  author       = {{Kullmer, Gunter and Weiß, Deborah and Schramm, Britta}},
  location     = {{Kassel}},
  publisher    = {{Deutscher Verband für Materialforschung und –prüfung e.V.}},
  title        = {{{Weiterentwicklung des Exponentialansatzes zur Beschreibung von Rissfortschrittskurven}}},
  doi          = {{10.48447/BR-2024-369}},
  year         = {{2024}},
}

@inproceedings{53529,
  abstract     = {{The Fused Filament Fabrication (FFF) process is increasingly used for the manufacturing of individualized and complex structures, which continuously results in new requirements regarding the material properties. A characteristic material property for polymers is the low thermal conductivity. However, for specific applications, such as additively manufactured injection molding tool inserts, increased thermal conductivity is advantageous. In this study, the influence of fillers of different types, shapes and sizes on the resulting thermal conductivity of compounds is investigated. The aim is to analyze the effects of the fillers, considering the FFF-typical strand structure. The first step is to characterize the fillers in terms of shape and size. Based on this, the resulting thermal conductivity of specimens manufactured in the FFF process for different build orientations is specifically examined and compared to injection molding. This ensures that the process- and material-related anisotropy of the specimens is considered in the analysis. For the evaluation, a methodology is developed to be applied in Laser Flash Analysis (LFA), which allows the results to be evaluated despite the characteristic FFF surface structure. For the final visualization of the influence of the particle size on the particle orientation, Scanning Electron Microscopy (SEM) images of the relevant polymer compounds are made. The investigations provide a data basis regarding the influence of the particle type, shape and size on the thermal conductivity as well as for the requirement-oriented selection of fillers for processing thermally conductive polymer compounds in the FFF process.}},
  author       = {{Moritzer, Elmar and Elsner, Christian Lennart}},
  location     = {{St. Louis}},
  title        = {{{Evaluation of the Influence of Particle Type, Shape and Size on the Thermal Conductivity of Filled Polymers in the Fused Filament Fabrication Process}}},
  year         = {{2024}},
}

@inproceedings{54142,
  author       = {{Beule, Felix and Al Trjman, Mohamad and Teutenberg, Dominik and Meschut, Gerson}},
  location     = {{Shanghai}},
  title        = {{{Method development (modelling, simulation, characterisation) in adhesive bonding technology}}},
  year         = {{2024}},
}

@inproceedings{54240,
  author       = {{Gilich, Julian and Meschut, Gerson and Gröger, Benjamin and Wiebicke, Felix and Koch, Ilja and Gude, Maik}},
  booktitle    = {{14. Doktorandenseminar Klebtechnik}},
  location     = {{Kassel}},
  title        = {{{Experimentelle und numerische Analyse des Fließverhaltens von hochviskosen Wärmeleitstoffen im Fertigungsprozess}}},
  year         = {{2024}},
}

@misc{54392,
  author       = {{Walljasper, Ben}},
  title        = {{{Einfluss von Luftfeuchtigkeit auf die Fließfähigkeit von Polymerpulvern für das selektive Lasersintern (Studienarbeit)}}},
  year         = {{2024}},
}

@misc{54390,
  author       = {{Liu, Diyi}},
  title        = {{{Entwicklung eines Bildanalyseverfahrens zur Erfassung des dynamischen Fließverhaltens von Schüttgütern}}},
  year         = {{2024}},
}

@inproceedings{53638,
  abstract     = {{<jats:p>Abstract. Spring steel wires are usually supplied and stored on coils. The manufacturing and coiling processes of these wires induce inhomogeneous plastic deformations that lead to undesirable residual stresses and varying wire curvatures in the semi-finished product. These residual stresses and curvatures defects are causing varying process conditions in the subsequent manufacturing processes, which have a negative impact on the product quality, leading to wastage and thus affecting the economic and ecological efficiency. Especially the curvature deviations must be compensated for the stability of the subsequent processes. This is usually realised with roller straighteners, which are set manually by the machine operators only at the beginning of a process. In this paper, we introduce a new approach with a modular straightening-machine design and a new set-up process. The more isolated deformation behaviour in a module-based straightener overcomes the complexity of interactions between the close-positioned spaced straightening rollers. This is combined with a set-up process that is independent of conventional material testing, modelling the actual and batch-specific behaviour of the wire in the straightening process. The exact knowledge and time-consuming determination of the material properties thus becomes obsolete. The experimental investigations show the influence of defined straightening strategies on the residual stress evolution and the residual forming limit of the spring steel wires (X10CrNi18-8) in the new straightening process. </jats:p>}},
  author       = {{Dahms, Frederik Simon and Homberg, Werner}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  location     = {{Toulouse}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Modular 3D roller straightening – A new approach to straightening and forming of spring steel wires (X10CrNi18-8)}}},
  doi          = {{10.21741/9781644903131-154}},
  year         = {{2024}},
}

@inproceedings{52579,
  author       = {{Hami Dindar, Iman and Lutters, Nicole and Kenig, Eugeny Y.}},
  location     = {{Ruhr-Universität Bochum}},
  title        = {{{Wässrige Glucosaminlösung als neues Lösungsmittel zur CO2-Abscheidung}}},
  year         = {{2024}},
}

@phdthesis{55093,
  author       = {{Tölle, Lisa}},
  isbn         = {{978-3-8440-9546-3}},
  publisher    = {{Shaker Verlag}},
  title        = {{{Ein Beitrag zur Steuerung der Faserstaubentwicklung faserverstärkter Kunststoffe beim mechanischen Recycling }}},
  year         = {{2024}},
}

@inproceedings{55151,
  author       = {{Mamedov, Tural and Schleicher, Eckhard and Schubert, Markus and Holger, Kryk and Ehlert, Thomas and Kenig, Eugeny Y. and Hampel, Uwe}},
  location     = {{Bochum}},
  title        = {{{Study on hydrodynamic and mass transfer performance of Mellapak 250Y for FPSO units exposed to permanent tilt and roll motion}}},
  year         = {{2024}},
}

@inproceedings{55336,
  abstract     = {{Predicting the remaining useful life of technical 
systems has gained significant attention in recent years due to 
increasing demands for extending the lifespan of degrading system 
components. Therefore, already used systems are retrofitted by 
integrating sensors to monitor their performance and 
functionality, enabling accurate diagnosis of their condition and 
prediction of their remaining useful life. One of the main 
challenges in this field is identified in the missing data from the 
time where the retrofitted system has already run but without 
being monitored by sensors. In this paper, a novel approach for 
the combined diagnostics and prognostics of retrofitted systems is 
proposed. The methodology aims to provide an accurate diagnosis 
of the system’s health state and estimation of the remaining useful 
life by a combination of a machine learning and expert knowledge. 
To evaluate the effectiveness of the proposed methodology, a case 
study involving a retrofitted system in an industrial setting is 
selected and applied. It is demonstrated that the approach 
effectively diagnose the current system’s health state and 
accurately predict its remaining useful life, thereby enabling 
predictive maintenance and decision-making. Overall, our 
research contributes to advancing the field of condition 
monitoring for retrofitted systems by providing a comprehensive 
methodology that addresses the challenge of missing data.}},
  author       = {{Bender, Amelie and Aimiyekagbon, Osarenren Kennedy and Sextro, Walter}},
  booktitle    = {{Proceedings of the 2024 Prognostics and System Health Management Conference (PHM)}},
  isbn         = {{979-8-3503-6058-5}},
  keywords     = {{retrofit, diagnosis, prognostics, RUL prediction, missing data, ball bearings}},
  location     = {{Stockholm, Schweden}},
  publisher    = {{IEEE Computer Society}},
  title        = {{{Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment}}},
  doi          = {{10.1109/PHM61473.2024.00038}},
  year         = {{2024}},
}

@article{55368,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>A comprehensive investigation of the potential of aqueous glucosamine solutions as an eco‐friendly solvent for CO<jats:sub>2</jats:sub> capture was performed. It includes an experimental study in a pilot plant setup and a theoretical analysis with a rate‐based model. The model was validated against the measured column profiles of temperature and CO<jats:sub>2</jats:sub> concentration in both liquid and gas phases. Model‐based parameter sensitivity studies revealed inherent challenges for an effective absorption process. A slow reaction rate and suboptimal chemical equilibrium conditions were identified as key limitations, restricting the absorption efficiency and CO<jats:sub>2</jats:sub> loading capacity of the glucosamine solution. Furthermore, an analysis of the dissociation constant of this novel absorbent was performed and its significance with respect to the (limited) performance, capability, and efficiency evaluation was highlighted.</jats:p>}},
  author       = {{Hami Dindar, Iman and Lutters, Nicole and Kenig, Eugeny Y.}},
  issn         = {{0001-1541}},
  journal      = {{AIChE Journal}},
  publisher    = {{Wiley}},
  title        = {{{Carbon dioxide capture by aqueous glucosamine solutions: Pilot plant measurements and a theoretical study}}},
  doi          = {{10.1002/aic.18541}},
  year         = {{2024}},
}

@inproceedings{55431,
  author       = {{Gräßler, Iris and Özcan, Deniz}},
  booktitle    = {{Automation 2024}},
  isbn         = {{9783181024379}},
  pages        = {{363–374}},
  publisher    = {{VDI Verlag}},
  title        = {{{Anwendungspotenziale von Künstlicher Intelligenz im Model-Based Systems Engineering für automatisierte Systeme}}},
  doi          = {{10.51202/9783181024379-363}},
  volume       = {{2437}},
  year         = {{2024}},
}

@inproceedings{54522,
  abstract     = {{The importance of extreme weather situations is increasing due to their number and, above all, their impact on stakeholders in emergency response. They are characterized by cascading effects with global and local interdependencies. Extreme data must be included as a basis for decision-making. The impact in emergency response depends on diverse, multidisciplinary competencies required to interpret information. Scenarios are used in various forms of preparation: in exercises, but also for the design of information systems and validation. Based on literature, this article brings together different types of scenarios and related work in the field of Model-Based Systems Engineering. Using an exemplary case relating to possible pluvial urban floods, the added value resulting from a focus on the impact of innovative solutions is discussed. It is shown that the use of scenarios helps to make the desired impact assessable for decision-makers in all phases of research and development projects.}},
  author       = {{Pottebaum, Jens and Ebel, Marcel and Gräßler, Iris}},
  booktitle    = {{Proceedings of the 21st ISCRAM Conference (ISCRAM 2024)}},
  editor       = {{Penkert, Berthold and Hellingrath, Bernd and Rode, Monika and Widera, Adam and Middelhoff, Michael and Boersma, Kees and Kalthöner, Matthias}},
  location     = {{Münster}},
  publisher    = {{ISCRAM}},
  title        = {{{Uncovering Impact of Innovation: Continuous Stakeholder Engagement through Scenario-based Systems Engineering}}},
  doi          = {{10.5281/ZENODO.11298332}},
  year         = {{2024}},
}

@inproceedings{56072,
  abstract     = {{Weather-induced emergencies are characterized by underlying weather phenomena, their evolution in time and space as well as their impact on the environment including people, nature and infrastructure. Typically, simulations are used to consider a variety of potential extreme weather scenarios in preparedness phases. Due to required computing power, duration and high efforts in parameterizing such tools are hardly used within response situations. Enhanced simulation models and surrogate models based on machine learning technologies carry potentials to overcome
these challenges. An approach is presented that adopts simulation for the case of flooding events. It considers all phases from demand situation in command posts through advanced parameter space exploration to advanced visualization of simulation results in Augmented Reality. Initial evaluation results are presented, complemented by conclusions on incorporated technologies. The results contribute to future adoption of simulation even in time-critical
response situations.}},
  author       = {{Pottebaum, Jens and Ebel, Marcel and Gräßler, Iris}},
  booktitle    = {{Mensch und Computer 2024 - Workshopband}},
  keywords     = {{extreme weather, emergency response, simulation, Augmented Reality}},
  location     = {{Karlsruhe}},
  publisher    = {{Gesellschaft für Informatik e.V.}},
  title        = {{{Extending the application of simulation from preparedness to response use cases in weather-induced emergencies}}},
  doi          = {{10.18420/muc2024-mci-ws13-209}},
  year         = {{2024}},
}

@inproceedings{56087,
  author       = {{Beule, Felix and Teutenberg, Dominik and Meschut, Gerson}},
  booktitle    = {{The 16th International Conference on the Science and Technology of Adhesion and Adhesives}},
  location     = {{Oxford, UK}},
  title        = {{{Numerical modelling of the influence of viscous fingering on the mechanical properties of structural adhesive joints}}},
  year         = {{2024}},
}

@article{56212,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>To increase the quality of computational results for heterogeneous materials like fiber‐reinforced composites with Prandtl–Reuss‐type material laws, goal‐oriented measures of the adaptive finite element method coupled to model adaptivity is established. The former is an adaptive mesh refinement on the macroscale, which allows to control the spatial discretization errors. The latter is an efficient combination of a numerically low cost nonuniform transformation field analysis (NTFA) and numerically high cost full‐field elasto‐plastic homogenization methods on the microscale. The present contribution deals with the application of the concept of downwind and upwind approximations to a goal‐oriented a posteriori error estimator based on duality techniques by means of reduced order homogenization schemes like NTFA, and with accuracy and numerical efficiency of the proposed goal‐oriented adaptive framework. NTFA consists of an offline phase and an online phase. During the offline phase, some relevant information of the micro system under consideration is precomputed allowing a reduced set of equations to be solved in the online phase. Thus, NTFA leads to a quite efficient homogenization method but less accurate compared to the full‐field homogenization method which is characterized with a high computational demand for accounting nonlinear microstructural mechanisms. Due to nonlinearities and time‐dependency of plasticity, the estimation of error transport and error generation are obtained with a backward‐in‐time dual method despite a high demand on memory capacity. In this contribution, the dual problem is solved with a forward‐in‐time dual method that allows estimating the full error during the resolution of the primal problem without the need for extra memory capacity. Several numerical examples illustrate the effectiveness of the proposed adaptive approach based on downwind and upwind approximations.</jats:p>}},
  author       = {{Tchomgue Simeu, Arnold and Mahnken, Rolf}},
  issn         = {{1617-7061}},
  journal      = {{PAMM}},
  publisher    = {{Wiley}},
  title        = {{{Mesh‐ and model adaptivity for NTFA and full‐field elasto‐plastic homogenization based on downwind and upwind approximations}}},
  doi          = {{10.1002/pamm.202400074}},
  year         = {{2024}},
}

@inproceedings{56194,
  author       = {{Afsahnoudeh, Reza and Riese, Julia and Kenig, Eugeny Y.}},
  booktitle    = {{World Congress on Mechanical, Chemical, and Material Engineering}},
  issn         = {{2369-8136}},
  location     = {{Barcelona}},
  publisher    = {{Avestia Publishing}},
  title        = {{{A Numerical Analysis of Thermo-Hydraulic Performance of Pillow-Plate Heat Exchangers with Ellipsoidal Secondary Structures}}},
  doi          = {{10.11159/htff24.145}},
  year         = {{2024}},
}