@article{63346,
  abstract     = {{<jats:p> Lightweight design by using low-density and load-adapted materials can reduce the weight of vehicles and the emissions generated during operation. However, the usage of different materials requires innovative joining technologies with increased versatility. In this investigation, the focus is on describing and characterising the failure behaviour of connections manufactured by an innovative thermomechanical joining process with adaptable auxiliary joining elements in single-lap tensile-shear tests. In order to analyse the failure development in detail, the specimens are investigated using in-situ computed tomography (in-situ CT). Here, the tensile-shear test is interrupted at points of interest and CT scans are conducted under load. In addition, the interrupted in-situ testing procedure is validated by comparing the loading behaviour with conventional continuous tensile-shear tests. The results of the in-situ investigations of joints with varying material combinations clearly describe the cause of failure, allowing conclusions towards an improved joint design. </jats:p>}},
  author       = {{Borgert, Thomas and Köhler, D and Wiens, Eugen and Kupfer, R and Troschitz, J and Homberg, Werner and Gude, M}},
  issn         = {{1464-4207}},
  journal      = {{Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications}},
  number       = {{12}},
  pages        = {{2299--2306}},
  publisher    = {{SAGE Publications}},
  title        = {{{In-situ computed tomography analysis of the failure mechanisms of thermomechanically manufactured joints with auxiliary joining element}}},
  doi          = {{10.1177/14644207241232233}},
  volume       = {{238}},
  year         = {{2024}},
}

@inproceedings{53824,
  author       = {{Koch, Kevin and Claes, Leander and Jurgelucks, Benjamin and Meihost, Lars and Henning, Bernd}},
  booktitle    = {{Fortschritte der Akustik - DAGA 2024}},
  editor       = {{Gesellschaft für Akustik e.V., Deutsche }},
  pages        = {{1113–1116}},
  title        = {{{Inverses Verfahren zur Identifikation piezoelektrischer Materialparameter unterstützt durch neuronale Netze}}},
  year         = {{2024}},
}

@inproceedings{56834,
  author       = {{Friesen, Olga and Claes, Leander and Scheidemann, Claus and Feldmann, Nadine and Hemsel, Tobias and Henning, Bernd}},
  booktitle    = {{2023 International Congress on Ultrasonics, Beijing, China}},
  issn         = {{1742-6596}},
  pages        = {{012125}},
  publisher    = {{IOP Publishing}},
  title        = {{{Estimation of temperature-dependent piezoelectric material parameters using ring-shaped specimens}}},
  doi          = {{10.1088/1742-6596/2822/1/012125}},
  volume       = {{2822}},
  year         = {{2024}},
}

@misc{55470,
  author       = {{Koch, Kevin and Friesen, Olga and Claes, Leander}},
  publisher    = {{Zenodo}},
  title        = {{{Randomised material parameter impedance dataset of piezoelectric rings}}},
  doi          = {{10.5281/zenodo.13143680}},
  year         = {{2024}},
}

@misc{53662,
  author       = {{Koch, Kevin and Claes, Leander}},
  publisher    = {{zenodo}},
  title        = {{{Randomised material parameter piezoelectric impedance dataset with structured electrodes}}},
  doi          = {{10.5281/ZENODO.11064206}},
  year         = {{2024}},
}

@misc{55416,
  author       = {{Claes, Leander and Koch, Kevin and Friesen, Olga and Meihost, Lars}},
  title        = {{{Machine learning in inverse measurement problems: An application to piezoelectric material characterisation}}},
  year         = {{2024}},
}

@article{56777,
  abstract     = {{The estimation of accurate piezoelectric material parameters is a fundamental prerequisite for simulation-driven design of piezoelectric actuators and sensors. Previous studies show that a full set of material parameters can be determined in an inverse procedure using a single disc-shaped specimen with an electrode structured for increased sensitivity with respect to all material parameters. However, in the case of high-power actuator applications, ring-shaped piezoelectric components are often employed, necessitating an adaptation of the previously developed method. The alteration in geometry introduces some advantages. Accordingly, there is no longer any requirement to modify the electrode structure in order to enhance sensitivity. The method to estimate the material parameters presented here consists of a total of three stages. An initial, approximate estimation of the material parameters is determined using analytical approximations for the resonance frequencies from the IEEE standard. These values are optimised in an inverse procedure that employs analytic expressions for the electrical impedance of piezoelectric rings as the forward model. Further refinement is achieved by using Finite Element (FE) simulations as the forward model again in an inverse procedure. The method is applied to electrical impedance measurement data, yielding material parameters for hard piezoelectric rings. The result shows a good agreement between the simulation and measurement results, indicating realistic material parameter values.}},
  author       = {{Friesen, Olga and Claes, Leander and Feldmann, Nadine and Henning, Bernd}},
  issn         = {{2196-7113}},
  journal      = {{tm - Technisches Messen}},
  publisher    = {{De Gruyter}},
  title        = {{{Estimation of piezoelectric material parameters of ring-shaped specimens}}},
  doi          = {{https://doi.org/10.1515/teme-2024-0107}},
  year         = {{2024}},
}

@article{54314,
  author       = {{Koch, Kevin and Claes, Leander and Jurgelucks, Benjamin and Meihost, Lars}},
  journal      = {{tm - Technisches Messen}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Neuronale Netze zur Startwertschätzung bei der Identifikation piezoelektrischer Materialparameter}}},
  doi          = {{10.1515/teme-2024-0099}},
  year         = {{2024}},
}

@article{57820,
  author       = {{Nikolić, Vanja and Winkler, Michael}},
  issn         = {{0362-546X}},
  journal      = {{Nonlinear Analysis}},
  publisher    = {{Elsevier BV}},
  title        = {{{L∞ blow-up in the Jordan-Moore-Gibson-Thompson equation}}},
  doi          = {{10.1016/j.na.2024.113600}},
  volume       = {{247}},
  year         = {{2024}},
}

@inproceedings{57031,
  author       = {{Gburrek, Tobias and Meise, Adrian Tobias and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}},
  booktitle    = {{2024 18th International Workshop on Acoustic Signal Enhancement (IWAENC)}},
  publisher    = {{IEEE}},
  title        = {{{Diminishing Domain Mismatch for DNN-Based Acoustic Distance Estimation via Stochastic Room Reverberation Models}}},
  doi          = {{10.1109/iwaenc61483.2024.10694103}},
  year         = {{2024}},
}

@article{53146,
  author       = {{Berger, Thomas and Dennstädt, Dario and Lanza, L.  and Worthmann, K. }},
  journal      = {{SIAM Journal on Control and Optimization}},
  title        = {{{Robust Funnel Model Predictive Control for Output Tracking with Prescribed Performance}}},
  year         = {{2024}},
}

@article{53151,
  author       = {{Berger, Thomas and Dennstädt, Dario}},
  journal      = {{Automatica}},
  title        = {{{Funnel MPC for nonlinear systems with arbitrary relative degree}}},
  year         = {{2024}},
}

@article{63472,
  author       = {{Oppeneiger, Benedikt and Lanza, Lukas and Schell, Maximilian and Dennstädt, Dario and Schaller, Manuel and Zamzow, Bert and Berger, Thomas and Worthmann, Karl}},
  issn         = {{0967-0661}},
  journal      = {{Control Engineering Practice}},
  publisher    = {{Elsevier BV}},
  title        = {{{Model predictive control of a magnetic levitation system with prescribed output tracking performance}}},
  doi          = {{10.1016/j.conengprac.2024.106018}},
  volume       = {{151}},
  year         = {{2024}},
}

@article{63473,
  author       = {{Lanza, Lukas and Dennstädt, Dario and Worthmann, Karl and Schmitz, Philipp and Şen, Gökçen Devlet and Trenn, Stephan and Schaller, Manuel}},
  issn         = {{0167-6911}},
  journal      = {{Systems &amp; Control Letters}},
  publisher    = {{Elsevier BV}},
  title        = {{{Sampled-data funnel control and its use for safe continual learning}}},
  doi          = {{10.1016/j.sysconle.2024.105892}},
  volume       = {{192}},
  year         = {{2024}},
}

@inproceedings{63471,
  author       = {{Dennstädt, Dario and Lanza, Lukas and Worthmann, Karl}},
  booktitle    = {{2024 European Control Conference (ECC)}},
  publisher    = {{IEEE}},
  title        = {{{On Model Predictive Control with Sampled-Data Input for Output Tracking with Prescribed Performance}}},
  doi          = {{10.23919/ecc64448.2024.10590848}},
  year         = {{2024}},
}

@unpublished{56289,
  author       = {{Seeger, Karl and Genovese, Matteo and Schlüter, Alexander and Kockel, Christina and Corigliano, Orlando and Díaz Canales, Edith Benjamina and Fragiacomo, Petronilla and Praktiknjo, Aaron}},
  booktitle    = {{United States Association for Energy Economics (USAEE) & International Association for Energy Economics (IAEE) Research Paper Series}},
  publisher    = {{Elsevier BV}},
  title        = {{{Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment}}},
  year         = {{2024}},
}

@inproceedings{63497,
  author       = {{Förster, Nikolas and Wallscheid, Oliver and Schafmeister, Frank}},
  booktitle    = {{2024 IEEE Design Methodologies Conference (DMC)}},
  keywords     = {{MOSFET, Thermal resistance, Surface resistance, Bridge circuits, Zero voltage switching, Pareto optimization, Capacitance, Numerical simulation, Optimization, Resistance heating, Pareto Optimization, Dual-Active Bridge, ZVS, Inductor Optimization, Transformer Optimization, Heat Sink Optimization}},
  pages        = {{1--8}},
  title        = {{{Dual-Active Bridge Sequential Pareto Optimization for Fast Pre-Design and Final Component Selection}}},
  doi          = {{10.1109/DMC62632.2024.10812131}},
  year         = {{2024}},
}

@inproceedings{56357,
  author       = {{Díaz Canales, Edith Benjamina and Avila , Alfredo and Schlüter, Sabine  and Lacayo, Erick and Schlüter, Alexander}},
  booktitle    = {{19th Conference on Sustainable Development of Energy, Water and Environment Systems}},
  location     = {{Rome}},
  publisher    = {{ Faculty of Mechanical Engineering and Naval Architecture, Zagreb}},
  title        = {{{Implementing Strategic Environmental Assessment (SEA) in the Global South, a challenge: Nicaragua as a case study.}}},
  year         = {{2024}},
}

@inbook{59869,
  author       = {{Herzig, Bardo and Eickelmann, Birgit and Schwabl, Franziska and Schulze, Johanna and Niemann, Jan}},
  booktitle    = {{Lehrkräftebildung in der digitalen Welt Zukunftsorientierte Forschungs- und Praxisperspektiven}},
  editor       = {{Herzig, Bardo and Eickelmann, Birgit and Schwabl, Franziska and Schulze, Johanna and Niemann, Jan}},
  pages        = {{9--16}},
  publisher    = {{Waxmann}},
  title        = {{{Vorwort}}},
  doi          = {{https://doi.org/10.31244/9783830998372}},
  year         = {{2024}},
}

@book{51129,
  editor       = {{Herzig, Bardo and Eickelmann, Birgit and Schwabl, Franziska and Schulze, J. and Niemann, Jan}},
  publisher    = {{Waxmann Verlag GmbH}},
  title        = {{{Lehrkräftebildung in der digitalen Welt – zukunftsorientierte Forschungs- und Praxisperspektiven}}},
  doi          = {{10.31244/9783830998372}},
  year         = {{2024}},
}

