@article{63455,
  author       = {{Arndt, Theresa and Schöppner, Volker}},
  journal      = {{Joining Plastics}},
  keywords     = {{Schweißen, Ultraschall, weld seam quality}},
  number       = {{3-4}},
  pages        = {{166–174}},
  title        = {{{Ambossfreies Ultraschallschweißen für nur einseitig zugängliche Schweißsituationen}}},
  volume       = {{19}},
  year         = {{2025}},
}

@article{63456,
  abstract     = {{Externer Doktorand von Moritzer}},
  author       = {{Moritzer, Elmar and Bartmann, Finn and Riedl, Alexander}},
  journal      = {{1. XXIV Dichtungskolloquium (Essen Juni 2025)}},
  title        = {{{Berücksichtigung des Kriechverhaltens bei numerischen Simulationen von Thermoplastflanschverbindungen}}},
  year         = {{2025}},
}

@inproceedings{63443,
  author       = {{Moritzer, Elmar and Lingnau, Kai}},
  booktitle    = {{Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2025)}},
  keywords     = {{Lackierung, Pulverlack, Spritzgießen}},
  title        = {{{PROCESS DEVELOPMENT OF A POWDER-BASED DIRECT COATING IN THE INJECTION MOLDING PROCESS}}},
  year         = {{2025}},
}

@article{58116,
  author       = {{Mohammadian, Noushin and Fatahi Valilai, Omid and Schlüter, Alexander}},
  issn         = {{2199-8531}},
  journal      = {{Journal of Open Innovation: Technology, Market, and Complexity}},
  number       = {{1}},
  publisher    = {{Elsevier BV}},
  title        = {{{Sustainable design and repair: Leveraging circular economy and machine learning for product development}}},
  doi          = {{10.1016/j.joitmc.2025.100469}},
  volume       = {{11}},
  year         = {{2025}},
}

@inproceedings{63019,
  author       = {{Donner, Johannes Aurelius Tamino and Schlüter, Alexander}},
  booktitle    = {{SDEWES Conference 2025}},
  keywords     = {{5GDHC, district heating, DHC, waste heat, AI-Driven}},
  location     = {{Dubrovnik}},
  title        = {{{Development of an AI-driven decentralized control for fifth generation district heating and cooling networks}}},
  year         = {{2025}},
}

@article{59056,
  author       = {{Seeger, Karl and Genovese, Matteo and Schlüter, Alexander and Kockel, Christina and Corigliano, Orlando and Díaz Canales, Edith Benjamina and Praktiknjo, Aaron and Fragiacomo, Petronilla}},
  issn         = {{0360-3199}},
  journal      = {{International Journal of Hydrogen Energy}},
  pages        = {{558--576}},
  publisher    = {{Elsevier BV}},
  title        = {{{Techno-economic analysis of hydrogen and green fuels supply scenarios assessing three import routes: Canada, Chile, and Algeria to Germany}}},
  doi          = {{10.1016/j.ijhydene.2025.02.379}},
  volume       = {{116}},
  year         = {{2025}},
}

@article{60837,
  abstract     = {{In light of growing demands for resource efficiency and sustainability in vehicle engineering, the environmentally compatible separation of structural adhesive joints is gaining increasing relevance. This study presents a comparative analysis of two physically based debonding methods: the established hot-air process and a cryogenic cold process based on liquid nitrogen (LN2). The primary objective is to assess the ecological impact and process-related sustainability of both approaches.
Experimental investigations were conducted on a component-representative triple-sheet structure that simulates common automotive flange joints. Thermal input was applied either by convective heating using a hot air gun or by direct cooling through a contact-based LN2 tool. The resulting temperature profiles were recorded using spatially distributed thermocouples. Subsequently, the outer panel was selectively debonded to replicate a repair scenario, and the mechanical integrity of the remaining adhesive joint was evaluated through Mode I testing of L-shaped specimens. Process data served as input for an Life Cycle Assessment (LCA) according to DIN EN ISO 14040.
The cryogenic method achieved a 40% reduction in carbon footprint compared to the hot-air process (0.337 kg vs. 0.559 kg CO2-equivalents), primarily due to its shorter process time and more efficient heat transfer. While the hot-air method’s impact is mainly driven by electrical energy use, that of the cold method stems from cryogenic media consumption. Notwithstanding certain disadvantages in specific impact categories, the LN2-based process exhibits a superior overall ecological performance and signifies a promising solution for repair- and recycling-oriented adhesive separation in structural vehicle applications.}},
  author       = {{Jordan, Alex and Hermelingmeier, Lucas and Gilich, Julian and Meschut, Gerson and De Santis, Marco Sebastian and Schlüter, Alexander}},
  issn         = {{2666-3309}},
  journal      = {{Journal of Advanced Joining Processes}},
  keywords     = {{Sustainable debonding, Structural adhesives, Sustainable joining technologies, Life Cycle Assessment (LCA), Automotive repair process, Economically efficient debonding}},
  publisher    = {{Elsevier}},
  title        = {{{Comparison of the economic efficiency and sustainability of two debonding processes for structurally bonded sills}}},
  doi          = {{10.1016/j.jajp.2025.100332}},
  volume       = {{12}},
  year         = {{2025}},
}

@techreport{63209,
  abstract     = {{Die DFG-Projekte AddFeRo-PM (406108415) und AddFeRo-SR (465089065) untersuchten die Potenziale des LB-PBF/M-Verfahrens zur Herstellung von Rotoren für unterschiedliche elektrische Maschinen. Im interdisziplinären Ansatz wurden Materialentwicklung und mechanische sowie elektromagnetische Optimierung verbunden. Im Projekt „AddFeRo-PM“ wurde der Rotor einer permanentmagneterregten Synchron- maschine (PMSM) untersucht. FeSi erwies sich als geeignete Legierung, konnte aber wegen Spannungsrissen nur bis zu 3 % Siliziumanteil (kurz: FeSi3) verarbeitet werden. Mechanische und elektromagnetische Untersuchungen ermöglichten eine 3D-Optimierung der Rotorgeometrie und -struktur. Der Demonstrator wurde additiv gefertigt und zeigt Leicht-baupotenziale sowie reduzierte Drehmomentwelligkeit. Im Folgeprojekt „AddFeRo-SR“ kam eine Hochtemperatur-Bauraumheizung (HTBH) zum Einsatz, die FeSi mit 6,5 % Siliziumanteil verarbeitbar machte, welches bessere elektro- magnetische Eigenschaften bietet. Sie wurde bei einer Synchron-Reluktanzmaschine (SynRM) getestet. Eine hybride Rotorfertigung erwies sich jedoch aufgrund von HTBH-Einschränkungen als ungeeignet, weshalb eine einteilige Fertigung mit FeSi3 umgesetzt wurde. Experimente bestätigten vergleichbare Betriebsergebnisse zur konventionellen Fertigung bei reduzierter Rotormasse. Zusätzlich wurde eine Methodik entwickelt, um additive Verfahren als Ergänzung zur konventionellen Fertigung zu integrieren. Beide Projekte zeigen das Potenzial additiver Fertigung für Leichtbau und Wirkungsgradsteigerung im Elektromaschinenbau und bieten wertvolle Grundlagen für industrielle Anwendungen.}},
  author       = {{Haase, Michael and Behrendt, Marius and Hengsbach, Florian and Kunnathully Sathees Kumar, Vinay and Magerkohl, Sebastian and Magyar, Balázs and Ponick, Bernd and Schaper, Mirko and Zimmer, Detmar}},
  keywords     = {{Additive Fertigung, Elektromotor, Leichtbau, Synchronmotor, DFG}},
  publisher    = {{Technische Informationsbibliothek}},
  title        = {{{Additive Fertigung im Elektromaschinenbau: Erforschung von Potentialen der additiven Fertigung in Rotoren permanentmagneterregter Synchronmaschinen}}},
  doi          = {{10.34657/26753}},
  year         = {{2025}},
}

@article{60681,
  author       = {{Díaz Canales, Edith Benjamina and Avila Galarza, Alfredo and Schlüter, Sabine and Lacayo Escobar, Erick and Schlüter, Alexander}},
  issn         = {{3044-5221}},
  journal      = {{Journal of Sustainable Development Indicators}},
  number       = {{2}},
  pages        = {{1--26}},
  publisher    = {{SDEWES Centre}},
  title        = {{{Implementing Strategic Environmental Assessment in the Global South, a Challenge: Nicaragua as a Case Study}}},
  doi          = {{10.13044/j.sdi.d2.0592}},
  volume       = {{1}},
  year         = {{2025}},
}

@inbook{59841,
  author       = {{Genovese, Matteo and Piraino, Francesco and Corigliano, Orlando and Schlüter, Alexander and Scionti, Eugenio and Fragiacomo, Petronilla}},
  booktitle    = {{Accelerating the Transition to a Hydrogen Economy}},
  isbn         = {{9780443240027}},
  publisher    = {{Elsevier}},
  title        = {{{Hydrogen economy development in the European Union}}},
  doi          = {{10.1016/b978-0-443-24002-7.00005-7}},
  year         = {{2025}},
}

@phdthesis{63511,
  abstract     = {{Der unsystematische und ineffiziente Umgang mit technischen Änderungen führt zuhohen Personalkosten durch Mehraufwand, einer reduzierten Entscheidungsqualität und kannin Projektfehlschlägen resultieren. Herausforderungen beim Umgang mit technischen Änderungenliegen in der Berücksichtigung relevanter Ursache-Wirkungs-Zusammenhänge, der quantitativen und qualitativen Bewertung der Auswirkungen und der effizienten prozessualen Einbindung. Mithilfe eines modellbasierten Lösungsansatzes lassen sich die Auswirkungen technischer Änderungen schneller bewerten und fundierte Entwicklungsentscheidungen treffen. In der vorliegenden Dissertation wird eine Methodik für die Entwicklung modell-basierter Wirkkettenanalysen zur Bewertung technischer Änderungen beschrieben. Durch die modellbasierte Wirkkettenanalyse können direkt oder indirekt von der Änderung betroffene Modellelemente identifiziert werden. Das Datenmodell wird mithilfe von Abfragesprachen analysiert und die Auswirkungen werden mithilfe von integrierten Metriken quantifiziert. Die Ergebnisse der Wirkkettenanalyse werden in rollenspezifischen Sichten bereitgestellt, wodurch eine bedarfsgerechte Entscheidungsunterstützung gewährleistet wird. Die Validierung anhand von vier industriellen Fallstudien belegt die Praxistauglichkeit der Methodik. Die Methodik verbindet das Änderungsmanagement mit den Vorteilen einer modellbasierten Systementwicklung und bildet somit einen synergetischen neuen Forschungsbereich.}},
  author       = {{Wiechel, Dominik}},
  isbn         = {{978-3-947647-51-4}},
  issn         = {{2365-4422}},
  title        = {{{Modellbasierte Wirkkettenanalyse zur Bewertung technischer Änderungen}}},
  doi          = {{10.17619/UNIPB/1-2473}},
  volume       = {{432}},
  year         = {{2025}},
}

@inproceedings{63527,
  author       = {{Henkenjohann, Mark and Nolte, Udo and Jahneke, Julien and Reimer, Oliver and Abrams, Stefan and Sion, Fabian and Henke, Christian and Trächtler, Ansgar and Schubert, Sebastian and Pfifer, Harald}},
  booktitle    = {{AIAA SCITECH 2025 Forum}},
  publisher    = {{American Institute of Aeronautics and Astronautics}},
  title        = {{{Dynamic Wind Tunnel Testing of an INDI-Based Flight Controller for a Tiltrotor-VTOL}}},
  doi          = {{10.2514/6.2025-2083}},
  year         = {{2025}},
}

@inproceedings{63528,
  author       = {{Reiling, Fabian and Bause, Maximilian and Gröger, Stefan and Henke, Christian and Koppert, Steven and Trächtler, Ansgar}},
  booktitle    = {{2025 11th International Conference on Automation, Robotics, and Applications (ICARA)}},
  publisher    = {{IEEE}},
  title        = {{{Development of a Learning-Based Control System for Robot-Assisted Grinding of Rubber Roller}}},
  doi          = {{10.1109/icara64554.2025.10977606}},
  year         = {{2025}},
}

@article{58133,
  author       = {{Pramanik, Sudipta and Mileaege, Dennis and Andreiev, Anatolii and Hoyer, Kay-Peter and Schaper, Mirko}},
  issn         = {{1059-9495}},
  journal      = {{Journal of Materials Engineering and Performance}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Effect of Compression Rate and Pore Size Distribution on the Compression Behavior of Additively Manufactured Bio-inspired Fe3Si Microporous Material}}},
  doi          = {{10.1007/s11665-024-10618-z}},
  year         = {{2025}},
}

@inproceedings{58539,
  author       = {{Franke, Patrick and Schubert, Markus and Hampel, Uwe and Kenig, Eugeny Y.}},
  booktitle    = {{Proceedings of the Dechema/VDI Jahrestreffen Fluidverfahrenstechnik 2025}},
  location     = {{Bochum}},
  title        = {{{Modeling reactive absorption in sandwich packings}}},
  year         = {{2025}},
}

@misc{58618,
  author       = {{Maier, Lukas and Beimdiek, Janis}},
  title        = {{{Untersuchung der Eignung von Eisen-/Mangan-Oxiden aus einer Sprayflammensynthese für die SCR}}},
  year         = {{2025}},
}

@article{58076,
  abstract     = {{This paper presents the concept of Information Circularity Assistance, which provides decision support in the early stages of product creation for Circular Economy. Engineers in strategic product planning need to proactively predict the quantity, quality, and timing of secondary materials and returned components. For example, products with high recycled content will only be economically sustainable if the material is actually available in the future product life. Our assumption is that Information Circularity Assistance enables decision makers to incorporate insights from extreme data – high-volume, high-velocity, heterogeneous and distributed data from the product life – into product creation through intelligent Digital Twins. Artificial Intelligence can help to derive sustainable actions in favor of circular products by processing extreme data and enriching it with expert knowledge. The research contributes in three key dimensions. First, a comprehensive literature review is conducted. This review covers concepts of intelligence in Scenario-Technique for strategic product planning, Digital Twin-based analysis of extreme data and relevant technologies from Data Science and Artificial Intelligence. In all areas, the state of the art and emerging trends are identified. Secondly, the study identifies information needs along the steps of the Scenario-Technique and information offerings based on Digital Twins. The concept of Information Circularity Assistance results from the coupling of these demands and offerings, extending the Scenario-Technique beyond traditional expert-based methods. Third, we extend existing Digital Twin methods used in circularity and discuss the deployment of Data Science and Artificial Intelligence algorithms within the product creation process. Our approach uses extreme data to provide a strategic advantage in optimizing product life cycle planning, which is illustrated by two sample applications. The aim is to provide Information Circularity Assistance that will support experienced product planners, developers, and decision makers in the future.}},
  author       = {{Gräßler, Iris and Weyrich, Michael and Pottebaum, Jens and Kamm, Simon}},
  issn         = {{0178-2312}},
  journal      = {{at - Automatisierungstechnik}},
  keywords     = {{Scenario-Technique, Artificial Intelligence, Digital Twin, Large Language Models}},
  number       = {{1}},
  pages        = {{3--21}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Information Circularity Assistance based on extreme data}}},
  doi          = {{10.1515/auto-2024-0039}},
  volume       = {{73}},
  year         = {{2025}},
}

@article{58650,
  abstract     = {{Technical systems are characterized by increasing interdisciplinarity, complexity and networking. A product and its corresponding production systems require interdisciplinary multi-objective optimization. Sustainability and recyclability demands increase said complexity. The efficiency of previously established engineering methods is reaching its limits, which can only be overcome by systematic integration of extreme data. The aim of "hybrid decision support" is as follows: Data science and artificial intelligence should be used to supplement human capabilities in conjunction with existing heuristics, methods, modeling and simulation to increase the efficiency of product creation.}},
  author       = {{Gräßler, Iris and Pottebaum, Jens and Nyhuis, Peter and Stark, Rainer and Thoben, Klaus-Dieter and Wiederkehr, Petra}},
  issn         = {{2942-6170}},
  journal      = {{Industry 4.0 Science}},
  keywords     = {{AI, artificial intelligence, Data Science, decision support, extreme data, Künstliche Intelligenz, product creation, product development}},
  number       = {{1}},
  publisher    = {{GITO mbH Verlag}},
  title        = {{{Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence}}},
  doi          = {{10.30844/i4sd.25.1.18}},
  volume       = {{2025}},
  year         = {{2025}},
}

@article{58672,
  author       = {{Al Trjman, Mohamad and Salten, Alexander Heinrich Johannes and Beule, Felix and Teutenberg, Dominik and Meschut, Gerson and Riese, Julia and Kenig, Eugeny}},
  issn         = {{0143-7496}},
  journal      = {{International Journal of Adhesion and Adhesives}},
  publisher    = {{Elsevier BV}},
  title        = {{{Viscous fingering in adhesive bonding}}},
  doi          = {{10.1016/j.ijadhadh.2025.103960}},
  volume       = {{139}},
  year         = {{2025}},
}

@article{58759,
  author       = {{Dechert, Christopher and Kenig, Eugeny Y.}},
  issn         = {{0009-2509}},
  journal      = {{Chemical Engineering Science}},
  publisher    = {{Elsevier BV}},
  title        = {{{Influence of microstructures on liquid spreading on inclined plates: A CFD based study}}},
  doi          = {{10.1016/j.ces.2025.121317}},
  year         = {{2025}},
}