@article{61524,
  author       = {{Einwag, Jonathan-Markus and Steinfelder, Christian and Wartzack, Sandro and Brosius, Alexander and Goetz, Stefan}},
  issn         = {{1526-6125}},
  journal      = {{Journal of Manufacturing Processes}},
  pages        = {{179--191}},
  publisher    = {{Elsevier BV}},
  title        = {{{From simulation to metamodel to experiment: Evaluating the prediction accuracy of polynomial regression models for clinch joint properties}}},
  doi          = {{10.1016/j.jmapro.2025.09.059}},
  volume       = {{154}},
  year         = {{2025}},
}

@article{62166,
  author       = {{Prüßner, Tim and Hoyer, Kay-Peter and Buitkamp, Nadine and Vieth, Pascal and Grundmeier, Guido}},
  issn         = {{0254-0584}},
  journal      = {{Materials Chemistry and Physics}},
  publisher    = {{Elsevier BV}},
  title        = {{{Surface functionalisation of additively manufactured AlSi10Mg by organophosphonic acid and PDMS grafting}}},
  doi          = {{10.1016/j.matchemphys.2025.131758}},
  volume       = {{349}},
  year         = {{2025}},
}

@inproceedings{62181,
  abstract     = {{<jats:p>This research investigates how Artificial Intelligence (AI) can be systematically integrated into existing business processes by combining suitable competencies with graphical AI workflow modelling. While AI offers a high potential for automation and increased efficiency, its implementation often fails due to a lack of interdisciplinary competencies that bridge the gap between domain expertise and IT know-how. Low-code platforms and visual modelling tools are increasingly recognised as enablers, empowering non-programmers to intuitively create graphical AI- based workflows. Nevertheless, specific competencies are required to realise the full potential of AI, the domain specific knowledge and align technical understanding with AI capabilities. The paper reviews the state of the art in AI-driven business process automation and competencies for visual low-code approaches. It then presents a practical solution to identify and systematise essential competence areas. Based on this, a practical competence model is developed to support the design of user-friendly, AI-enabled workflows. This is tested in a practical application context — emergency management — where it supports critical decision-making processes and is validated through expert feedback. The study concludes by offering actionable recommendations to help organisations foster the necessary competencies and methods for competently integrating AI into their digital processes.</jats:p>}},
  author       = {{Gräßler, Iris and Özcan, Deniz}},
  booktitle    = {{AHFE International}},
  issn         = {{2771-0718}},
  location     = {{Split}},
  publisher    = {{AHFE International}},
  title        = {{{Graphical AI workflow modelling: Identifying relevant competencies in AI-based automation of business processes}}},
  doi          = {{10.54941/ahfe1006785}},
  volume       = {{198}},
  year         = {{2025}},
}

@book{62182,
  abstract     = {{<p> Executive summary Die vorliegende Zukunftsstudie „Automation 2035“ gibt einen Ausblick auf die Entwicklung der Automatisierungstechnik in den nächsten 10 Jahren. Neben der Beschreibung von Trends wie Kreislaufwirtschaft, Automatisierung der Märkte, Biologisierung, autonome Systeme und Robotik sowie IT-Sicherheit wird die zu erwartende Veränderung in der Bildung beschrieben. Dazu verwenden wir Methoden der Zukunftsforschung und arbeiten mit der Szenarientechnik, um Zukunftsperspektiven der Automation aufzuzeigen. Personas werden eingesetzt, um die zukünftigen Entwicklungen plastisch aus den Augen der Personen im Jahr 2025 und in der Zukunft im Jahr 2035 zu beschreiben. Schlüsselthemen und Trends: ... ... Inhalt Executive summary 1 1 Einführung 3 2 Zukunftsfelder für die Automatisierungstechnik 2035 4 2.1 Kreislaufwirtschaft 4 2.2 Automatisierung der Märkte 7 2.3 Biologisierung 8 2.4 Autonome Systeme und Robotik 10 2.5 Security 12 2.6 Veränderung der Ausbildung 13 3 Szenario der Automation 2035 16 4 Personas 18 4.1 Unternehmer 18 4.2 Ingenieurin 19 4.3 Schüler 20 5 Thesen und Ausblick 22 Methodik 24 Autorenteam 25 Schrifttum 26... </p>}},
  author       = {{Gräßler, Iris and Özcan, Deniz and Tusek, Alena Marie and Bilgic, Attila and Lange, Christian and Stich, Christian and Maul, Christine and Heizmann, Michael and Weyrich, Michael and Dessel,, Sascha and Miny, Torben and Jumar, Ulrich}},
  isbn         = {{9783911670180}},
  publisher    = {{VDI Verlag}},
  title        = {{{Automation 2035}}},
  doi          = {{10.51202/9783911670180}},
  year         = {{2025}},
}

@article{62211,
  abstract     = {{Zur Steigerung der Ressourceneffizienz technischer Komponenten sind neben dem Leichtbau insbesondere neuartige Fertigungstechnologien und Prozessketten mit geschlossenen Stoffkreisläufen von großer Bedeutung. Im Beitrag werden am Beispiel einer Demonstratorstruktur aus hybriden Leichtbauprofilen (Aluminium und faserverstärktes Polyamid) technisch-technologische Lösungsoptionen für die gesamte Prozesskette inklusive des Recyclings vorgestellt und in Pilotversuchen bewertet.}},
  author       = {{Weck, Daniel and Müller-Pabel, Michael and Krampitz, Thomas and Hecker, Christine and Selvaggio, Alessandro and Gilich, Julian and Gude, Maik and Lieberwirth, Holger and Tekkaya, A. Erman and Meschut, Gerson}},
  journal      = {{Werkstattstechnik online}},
  number       = {{10}},
  pages        = {{708--717}},
  publisher    = {{VDI Fachmedien GmbH and Co. KG}},
  title        = {{{Ressourceneffiziente Fertigung von Leichtbaustrukturen}}},
  doi          = {{10.37544/1436-4980-2025-10-12}},
  volume       = {{115}},
  year         = {{2025}},
}

@inproceedings{62688,
  author       = {{Gräßler, Iris and Pottebaum, Jens and Rarbach, Sven}},
  booktitle    = {{The 11th World Sustainability Forum (WSF11)}},
  location     = {{Barcelona}},
  publisher    = {{MDPI}},
  title        = {{{Potentials of Product Lifecycle Management to Enhance Circular Economy}}},
  doi          = {{10.3390/proceedings2025131047}},
  year         = {{2025}},
}

@inproceedings{62725,
  abstract     = {{Aluminium-Silizium-Legierungen (AlSi) werden insbesondere bei der gießtechnischen
Herstellung von Leichtbaukomponenten für Fahrzeuge verwendet. Dieses Legierungssystem hat hervorragende
Gießeigenschaften bei gleichzeitig akzeptablen mechanischen Eigenschaften. Aufgrund des hohen
Silizium-(Si)-Gehaltes, wodurch die Volumenkontraktion im Phasenübergang von flüssig-fest nahezu
unterbunden wird, neigen AlSi-Legierungen dazu, feinere oder gröbere Si-Platten bei unterschiedlichen
Erstarrungsgeschwindigkeiten zu bilden. Um die mechanischen Eigenschaften zu verbessern, werden
dem Legierungssystem in der Schmelzphase entweder Natrium (Na) oder Strontium (Sr) zugesetzt. Dies
hat zur Folge, dass sich eine fein lamellare Si-Morphologie bei der Erstarrung ausbildet; dies kann ebenfalls
durch hohe Erstarrungsgeschwindigkeiten erreicht werden. Ein nachfolgendes Lösungsglühen bewirkt
eine Sphäroidisierung der Si-Partikel und dient der Steigerung der Duktilität. Aktuell fehlen fundierte
Erkenntnisse zur Ausprägung der Si-Morphologie in Abhängigkeit der Erstarrungsgeschwindigkeit oder
infolge einer Wärmebehandlung. Vor diesem Hintergrund werden in dieser Studie verschiedene Behandlungsparameter
in Bezug auf das Einformverhalten der Si-Partikel mit einem bildauswertenden Verfahren
evaluiert sowie unter Bezug auf verschiedene chemische Zusammensetzungen miteinander korreliert.}},
  author       = {{Neuser, Moritz and Cichon, Gerrit and Hoyer, Kay-Peter and Schaper, Mirko}},
  booktitle    = {{Bildauswertendes Verfahren zur Evaluierung der Mikrostruktur von AlSi-Systemen}},
  isbn         = {{978-3-88355-454-9}},
  keywords     = {{Bildauswertendes Verfahren, Mikrostrukturanalyse, AlSi-System, Si-Morphologie}},
  location     = {{Dresden}},
  pages        = {{454 -- 459}},
  publisher    = {{Deutsche Gesellschaft für Materialkunde (DGM)}},
  title        = {{{Bildauswertendes Verfahren zur Evaluierung der Mikrostruktur von AlSi-Systemen}}},
  volume       = {{43}},
  year         = {{2025}},
}

@article{62937,
  abstract     = {{Sandwich packings are assembled from two conventional structured packings with different geometrical surface areas stacked alternatingly within a separation column. When operated under partially flooded conditions, they provide significant mass transfer improvement compared to common structured packings. In this work, a rate-based model including novel mass transfer correlations is presented and validated using a comprehensive experimental database for the reactive absorption of CO2 into aqueous monoethanolamine. The proposed rate-based approach is capable of accounting for axial dispersion, thereby enabling the evaluation of the effect of liquid-phase backmixing on the mass transfer performance. The validated rate-based model is used to evaluate the separation performance of sandwich packings. Compared with structured packings, up to 10 % higher mass transfer rates are obtained.}},
  author       = {{Franke, Patrick and Schubert, Markus and Hampel, Uwe and Kenig, Eugeny Y.}},
  issn         = {{0009-2509}},
  journal      = {{Chemical Engineering Science}},
  keywords     = {{Sandwich packings Structured packings Rate-based approach Model validation Ultra-fast X-ray tomography}},
  publisher    = {{Elsevier BV}},
  title        = {{{A rate-based model for reactive separation columns with sandwich packings}}},
  doi          = {{10.1016/j.ces.2025.122681}},
  volume       = {{321}},
  year         = {{2025}},
}

@article{63072,
  abstract     = {{<jats:p>Titanium alloys are widely employed for biomedical implants due to their high strength, biocompatibility, and corrosion resistance, yet their lack of intrinsic antibacterial activity remains a major limitation. Incorporating copper, an antibacterial and β-stabilising element, offers a promising strategy to enhance implant performance. This study investigates Ti-6Al-7Nb modified with 1–9 wt.% Cu via in situ alloying during metal-based laser powder bed fusion (PBF-LB/M), with the aim of assessing processability, microstructural evolution, and mechanical properties. Highly dense samples (&gt;99.9%) were produced across all Cu levels, though chemical homogeneity strongly depended on processing parameters. Increasing Cu content promoted β-phase stabilisation, Ti2Cu precipitation, and pronounced grain refinement. Hardness and yield strength increased nearly linearly with Cu addition, while ductility decreased sharply at ≥5 wt.% Cu due to intermetallic formation, hot cracking, and brittle fracture. These results illustrate both the opportunities and constraints of rapid alloy screening via PBF-LB/M. Overall, moderate Cu additions of 1–3 wt.% provide the most favourable balance between mechanical performance, manufacturability, and potential antibacterial functionality. These findings provide a clear guideline for the design of Cu-functionalised titanium implants and demonstrate the efficiency of in situ alloy screening for accelerated materials development.</jats:p>}},
  author       = {{Steinmeier, Paul and Hoyer, Kay-Peter and Lopes Dias, Nelson Filipe and Zielke, Reiner and Tillmann, Wolfgang and Schaper, Mirko}},
  issn         = {{2073-4352}},
  journal      = {{Crystals}},
  keywords     = {{Biomaterial, In Situ Alloying, Titanium, Additive Manufacturing}},
  number       = {{12}},
  publisher    = {{MDPI AG}},
  title        = {{{In Situ Alloying of Ti-6Al-7Nb with Copper Using Laser Powder Bed Fusion}}},
  doi          = {{10.3390/cryst15121053}},
  volume       = {{15}},
  year         = {{2025}},
}

@inproceedings{61427,
  abstract     = {{The carbon footprint of modern vehicles and their mechatronic systems is more
important than ever. Research by the publicly funded Nalyses project and the HELLA
company shows that the headlamps use phase makes a significant contribution to the life
cycle footprint taking into account the current electricity mix [1]. Today, functionalities
such as adaptive curve light or glare-free high beam ensure comfort and safety by
assessing the state of the vehicle and evaluating the driving scenario ahead. In future,
this evaluation will be expanded and used to adapt the headlamp to the driving scenario
in such a way that as little light as possible is emitted, but as much light as necessary. In
order to achieve this goal, an overall evaluation of the regulatory compliant energy
saving potential is crucial in a first step and leads to constraints for a dynamic adaption
while driving. In this paper, the potential is illustrated by evaluating UNECE Regulation
No. 149 and optimizing luminous intensity distributions. Depending on the different
resolutions of matrix LED headlamps, this approach can result in a significantly lower
luminous flux. On the other hand, the results are point-like distributions that raise the
question of whether the regulation still provides for sensible minimum requirements for
modern matrix LED headlamps. The results are further presented in a simulated virtual
environment with regard to the resulting luminance in different driving scenarios. We
then present an approach to integrate regulatory requirements into a control algorithm by
setting optimization constraints and saturating the control. Finally, we classify the found
luminous intensity distributions qualitatively according to common lighting criteria. In summary, although the investigated minimum distributions are by no means desirable
for drivers themselves, they form the basis on which energy-saving distributions for
illuminated areas and twilight scenarios could be adaptively controlled in the future.}},
  author       = {{Fittkau, Niklas and Bußemas, Leon and Malena, Kevin and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the 16th International Symposium on Automotive Lighting 2025}},
  location     = {{Darmstadt}},
  title        = {{{Regulatory-compliant energy-saving potential for the passing beam of matrix LED headlamps}}},
  doi          = {{10.26083/tuprints-00030840}},
  year         = {{2025}},
}

@article{63108,
  abstract     = {{In the context of decarbonization initiatives, the repairability and recyclability of components have become a major concern in various industrial sectors, particularly for resource-intensive components. The development of innovative bonding and debonding processes that must adhere to the stringent mechanical specifications of the manufacturers and facilitate their efficient disassembly is a major issue faced in the implementation of a sustainable circular economy. Although adhesively bonded joints satisfy the stringent requirements for mechanical performance, they present several challenges during the repair and recycling process. Solvolytically debondable epoxy resin adhesives may be employed to overcome this issue. In this study, we aim to conduct an exploratory feasibility study on the application of such chemical debonding mechanisms within an adhesive bond as well as to systematically analyse and evaluate the suitability of such adhesive systems for various applications. To this end, we employed various thermo-analytical methods and quasi-static tensile tests to characterise the mechanical adhesive and joint properties of two solvolytically debondable adhesive systems. Furthermore, we analysed the debondability of the adhesive joints and evaluated their feasibility in an industrial environment. The results indicate considerable application potential for solvolytically debondable adhesives, along with further development steps currently required.}},
  author       = {{Gilich, Julian and Kroos, Janika and Teutenberg, Dominik and Meschut, Gerson}},
  issn         = {{0021-8464}},
  journal      = {{The Journal of Adhesion}},
  pages        = {{1--26}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Solvolytically debondable adhesive systems – potentials and challenges for repair and recycling}}},
  doi          = {{10.1080/00218464.2025.2600590}},
  year         = {{2025}},
}

@inproceedings{63193,
  abstract     = {{The integration of data-driven models and specifically machine learning for conditon monitoring and predictive maintenance into companies, especially small and medium-sized enterprises, offers significant opportunities in reducing costs, operating more sustainably, and maintaining long-term competitiveness. However, many small and medium-sized enterprises lack the necessary resources and expertise to derive knowledge from data and integrate their own machine learning based solutions. To address this challenge, a framework is presented that enables the automated generation of data-driven models with a particular focus on condition monitoring and predictive maintenance, but applicable to other use cases as well. Using a dataset from the 2022 data challenge of the prognostics and health management society, it is demonstrated that the framework can generate high-performing models, achieving F1-scores up to 0.998, exemplarily for a classification task.}},
  author       = {{Löwen, Alexander and Quirin, Dennis and Hesse, Marc and Aimiyekagbon, Osarenren Kennedy and Sextro, Walter}},
  booktitle    = {{2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  location     = {{Porto}},
  publisher    = {{IEEE}},
  title        = {{{Facilitating the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical Systems}}},
  doi          = {{10.1109/etfa65518.2025.11205799}},
  year         = {{2025}},
}

@article{63347,
  abstract     = {{<jats:p>Friction-spinning is an incremental thermomechanical forming process that has huge potential due to its simple yet effective mechanism of utilising friction between a rotating workpiece and a forming tool to increase the workpiece’s temperature, which reduces the required forces and increases formability during the forming process. Despite the simplicity of the process’s setup, the thermomechanical loads and high relative velocities involved, especially in the contact zone, make the application of classical methods for characterising friction inaccurate. It is therefore essential to find a way to describe the frictional behaviour under real process conditions to be able to gain a holistic understanding of the process and the effect of the adjustable parameters on the outcome, especially the temperature. To achieve this goal, an experimental setup that considers the actual process boundary conditions in forming tubes made of EN AW-6060 was used to measure in situ normal and frictional forces, in addition to process temperatures, under varying rotational speed and feed rate values.</jats:p>}},
  author       = {{Wiens, Eugen and Hijazi, Dina and Jüttner, Maik and Homberg, Werner and Kensy, Mark Dennis and Tillmann, Wolfgang}},
  issn         = {{2504-4494}},
  journal      = {{Journal of Manufacturing and Materials Processing}},
  number       = {{9}},
  publisher    = {{MDPI AG}},
  title        = {{{In Situ Investigation of the Frictional Behaviour in Friction-Spinning}}},
  doi          = {{10.3390/jmmp9090302}},
  volume       = {{9}},
  year         = {{2025}},
}

@inproceedings{59091,
  abstract     = {{<jats:p>Abstract. Liquid Metal Embrittlement (LME) cracking is a well-documented issue encountered during resistance spot welding (RSW) of zinc-coated advanced high-strength steels (AHSS) in automotive manufacturing. Given that existing research has predominantly focused on laboratory-scale samples and lacks investigation into the load-bearing capacity of joints under crash conditions, this study aims to fill these gaps by analyzing third-generation zinc-coated AHSS. S-Rail components were produced through stamping to replicate real-world manufacturing conditions and geometries of automotive parts. To account for the disturbances typically encountered in production, samples with LME cracks were intentionally fabricated. Subsequently, a modified three-point bending test, assisted by numerical simulations, was developed to effectively apply loads to the weld spots of the S-Rail components. Results from crash tests demonstrated that observed light crack severity does not significantly compromise the joint's load-bearing capacity or lead to earlier joint failure.</jats:p>}},
  author       = {{Yang, Keke and Biegler, Max and Happe, Linus and Striewe, Marius and Olfert, Viktoria and Hein, David and Rethmeier, Michael  and Meschut, Gerson}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Influence of Liquid metal embrittlement on load-bearing capacity of resistance spot welds under crash loads: A study based on S-Rail components}}},
  doi          = {{10.21741/9781644903551-42}},
  volume       = {{52}},
  year         = {{2025}},
}

@inproceedings{60604,
  abstract     = {{<jats:p>Abstract. In the field of online condition monitoring, non-destructive testing methods using active acoustic testing [1] emerged as innovative tools. These techniques are particularly effective because damage in joined structures leads to significant changes in their vibrational characteristics. However, the consistent use of online condition monitoring through active acoustic testing combined with complex pattern recognition for early crack detection in joined components has not yet been fully established. This research aims to develop an online crack detection system employing pattern recognition techniques under cyclic loading during fatigue tests, utilizing non-contact active acoustic testing with laser vibrometry. Due to the wide range of materials that can be joined, mechanical joining processes can be used in many different industry branches. Self-pierce riveting (SPR), in particular, is a well-established joining process. Therefore, the investigations for online crack detection initially focus on SPR joints. To achieve this, the fatigue behavior of SPR joints in a lap-shear configuration was characterized. Experimental fatigue testing demonstrated that SPR joint failure occurs either through cracks propagating in the sheet material away from the rivet or in the rivet foot, depending on the material combination. Laser vibrometry has been successfully used as a crack detection system and has proven to be effective in detecting crack initiation in SPR joints. Cracks can be detected without contact regardless of the material combination, the damage location, the size of the damage, or the type of damage.  The optimization of the crack detection system involved several key enhancements, including adjusting data acquisition to improve crack detection, incorporating principal component analysis (PCA) to reduce dimensionality, and implementing a classification model based on a global training dataset. An intuitive, problem-specific software demonstrator for analyzing the crack initiation behavior of SPR joints under cyclic loading was developed and iteratively optimized. Future work will focus on the implementation of an autoencoder network to further enhance crack detection capabilities.</jats:p>}},
  author       = {{Olfert, Viktoria and Yang, Keke and Gollnick, Maik and Krause, Jacob and Hein, David and Meschut, Gerson}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Analysis of fatigue behaviour of self-piercing riveted joints under cyclic loading using laser vibrometry}}},
  doi          = {{10.21741/9781644903599-154}},
  volume       = {{54}},
  year         = {{2025}},
}

@inproceedings{62299,
  author       = {{Friesen, Olga and Scheidemann, Claus and Claes, Leander and Hemsel, Tobias and Henning, Bernd}},
  booktitle    = {{2025 International Congress on Ultrasonics}},
  pages        = {{138–141}},
  publisher    = {{AMA Service GmbH}},
  title        = {{{Sensitivity Analysis and Material Parameter Estimation of a Pre-Stressed Langevin Transducer}}},
  doi          = {{10.5162/ultrasonic2025/a18-a4}},
  year         = {{2025}},
}

@inbook{63461,
  author       = {{Bartmann, Finn and Riedl, Alexander and Moritzer, Elmar}},
  booktitle    = {{Lecture Notes in Mechanical Engineering}},
  isbn         = {{9783032073914}},
  issn         = {{2195-4356}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Creep Effects of Thermoplastic Flange Systems}}},
  doi          = {{10.1007/978-3-032-07392-1_39}},
  year         = {{2025}},
}

@article{63444,
  author       = {{Moritzer, Elmar and Rauen, Dennis and Hoppe, Justin}},
  journal      = {{Magazin für Oberflächentechnik}},
  keywords     = {{Plasma, Plasmaaktivierung, Werkzeugstahl}},
  number       = {{10}},
  title        = {{{Atmosphärendruckplasma: Grenzflächenmodifikation von Werkzeugstahl: Plasma trifft Stahl: Möglichkeiten zur Modifikation und Verbesserung von Oberflächeneigenschaften}}},
  volume       = {{2025}},
  year         = {{2025}},
}

@inproceedings{63442,
  author       = {{Moritzer, Elmar and Brandes, Philipp and Wittler, Maurice and Westphal, Max Siegfried}},
  booktitle    = {{Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2025)}},
  keywords     = {{Faser-Kunststoff-Verbunde (FKV), Faserverstärkte Kunststoffe (FVK), Organobleche}},
  title        = {{{A COMPARISON OF USING FILM INSTEAD OF POLYMER POWDER FOR POLYPROPYLENE GLASS-FIBER COMPOSITE LAMINATES}}},
  year         = {{2025}},
}

@inproceedings{63457,
  author       = {{Moritzer, Elmar and Völklein, Paul Leonhard}},
  booktitle    = {{Technomer 2025 29. Fachtagung}},
  isbn         = {{978-3-939382-17-1}},
  keywords     = {{Faserverstärkte Kunststoffe (FVK), mechanischens Fügen, Nieten, Organobleche}},
  title        = {{{Untersuchung des Erwärmverhaltens von Organoblechen mittels IR-Strahlung für das Fügen im Stempelnietverfahren}}},
  year         = {{2025}},
}