@article{61761,
abstract = {{Abstract
Data-driven methods are increasingly utilized in metal forming processes for monitoring and quality optimization. An adapted modeling notation DSL4DPiFS for forming processes is presented to model hardware, software, and data flow aspects to support the design and analysis of data-driven methods. DSL4DPiFS enables metal forming and automation experts to model field-level information as data sources, and the data sinks for data analysis. The notation was adapted to the requirements of selected metal forming processes and evaluated in three case studies.}},
author = {{Vogel-Heuser, Birgit and Zhang, Mingxi and Krüger, Marius and Vicaria, Alejandra and Gardill, Markus and Jiang, Yuyao and Trächtler, Ansgar and Peters, Henning and Liewald, Mathias and Schenek, Adrian and Heinzelmann, Pascal and Weyrich, Michael}},
issn = {{0178-2312}},
journal = {{at - Automatisierungstechnik}},
number = {{4}},
pages = {{232--250}},
publisher = {{Walter de Gruyter GmbH}},
title = {{{DSL4DPiFS – a graphical notation to model data pipeline deployment in forming systems}}},
doi = {{10.1515/auto-2024-0114}},
volume = {{73}},
year = {{2025}},
}
@article{62051,
author = {{Hinnenthal, Kristian and Liedtke, David Jan and Scheideler, Christian}},
issn = {{0304-3975}},
journal = {{Theoretical Computer Science}},
publisher = {{Elsevier BV}},
title = {{{Efficient shape formation by 3D hybrid programmable matter: An algorithm for low diameter intermediate structures}}},
doi = {{10.1016/j.tcs.2025.115552}},
volume = {{1057}},
year = {{2025}},
}
@article{62148,
author = {{Sadiye, Babak and Iftekhar, Mohammed and Müller, Wolfgang and Scheytt, J. Christoph}},
issn = {{1063-8210}},
journal = {{IEEE Transactions on Very Large Scale Integration (VLSI) Systems}},
publisher = {{IEEE}},
title = {{{60-Gb/s 1:4 Demultiplexer in 22-nm FD-SOI Technology Using TSPC Logic: A Circuit-to-System-Level Analysis and Design}}},
doi = {{10.1109/TVLSI.2025.3625787}},
year = {{2025}},
}
@article{62160,
abstract = {{Laser powder bed fusion is a cornerstone technology for additive manufacturing (AM) of metals and polymers, yet challenges in achieving consistent reproducibility and process optimization persist. Addressing these requires a systematic understanding of the interactions between feedstock, process parameters, and final part characteristics throughout the entire production chain. This study presents results from a comprehensive interlaboratory investigation conducted by 32 research institutions, evaluating six feedstock, including nanoparticle‐modified aluminum alloy and polyamide powders, under standardized protocols. Data analysis encompasses 69 powder properties, 15 process parameters per print, and 78 part features, culminating in a dataset of over 1.2 million correlations. Advanced statistical methods and machine learning are employed to identify critical variability drivers, such as the impact of nanoparticle modifications on powder flowability and thermal conductivity, as well as the influence of process parameters on reproducibility. Newly introduced dimensionless figures of merit provide universal metrics to describe and predict thermal and mechanical interactions, simplifying process optimization and material characterization. The findings, supported by an open‐access dataset adhering to findable, accessible, interoperable, and reusable principles, advance understanding of material–process–structure–property relationships. They establish a benchmark for future research and lay the foundation for improving the reliability, quality, and sustainability of AM processes.}},
author = {{Kuşoğlu, Ihsan Murat and Garg, Sunidhi and Abel, Arvid and Balachandran, Prasanna V. and Barcikowski, Stephan and Becker, Louis and Bernsmann, Jan-Simeon and Boseila, Jonas and Broeckmann, Christoph and Coskun, Mert and Dreyer, Malte and East, Mark and Easton, Mark and Ellendt, Nils and Gann, Stan and Gökce, Bilal and Goßling, Mareen and Greiner, Joachim and Gruber, Piotr and Grünewald, Moritz and Gurung, Kopila and Hantke, Nick and Hengsbach, Florian and Holländer, Hannes and Van Hooreweder, Brecht and Hoyer, Kay-Peter and Huang, Yajiang and Huber, Florian and Kessler, Olaf and Kısasöz, Burçin Özbay and Kleszczynski, Stefan and Koc, Ebubekir and Kurzynowski, Tomasz and Kwade, Arno and Leupold, Simon and Liu, Dongmei and Lomo, Felix and Lüddecke, Arne and Luinstra, Gerrit A. and Mauchline, David A. and Meyer, Fabian and Meyer, Lars and Middendorf, Peter and Nolte, Stefan and Olejarczyk, Michał and Overmeyer, Ludger and Pich, Andrij and Platt, Sebastian and Radtke, Felix and Ramm, Roland and Rittinghaus, Silja-Katharina and Rothfelder, Richard and Rudloff, Johannes and Schaper, Mirko and Scheck, Marie Luise and Schleifenbaum, Johannes Henrich and Schmidt, Michael and Sehrt, Jan T. and Shabanga, Yvonne P. and Sommereyns, Alexander and Steuer, Rabea and Tisha, Layla Shams and Toenjes, Anastasiya and Tuck, Christopher and Vaghar, Adrian and Vrancken, Bey and Wang, Zhengze and Weber, Sebastian and Wegner, Jan and Xu, Bai-Xiang and Yang, Yangyiwei and Zhang, Duyao and Zhuravlev, Evgeny and Ziefuss, Anna R.}},
issn = {{1438-1656}},
journal = {{Advanced Engineering Materials}},
number = {{14}},
publisher = {{Wiley}},
title = {{{Large‐Scale Interlaboratory Study Along the Entire Process Chain of Laser Powder Bed Fusion: Bridging Variability, Standards, and Optimization across Metals and Polymers}}},
doi = {{10.1002/adem.202402930}},
volume = {{27}},
year = {{2025}},
}
@phdthesis{62167,
abstract = {{Diese Dissertation befasst sich mit der Entwicklung eines induktiv-basierten Lokalisierungsverfahrens mittels planarer Spulen, das auf magnetischer Kopplung beruht. Grundlage ist die elektromagnetische Induktion, bei der sich die entstehende Spannung proportional zur Gegeninduktivität verhält. Das Verfahren arbeitet im physikalischen Nahfeld und im Frequenzbereich von einigen kHz bis MHz, um eine effiziente Kopplung ohne Ausbreitung elektromagnetischer Wellen zu gewährleisten. Im Vergleich zu etablierten Verfahren wie GPS oder Ultraschall zeigt die induktive Ortung Vorteile bei kurzer Reichweite, insbesondere durch hohe Genauigkeit im Zentimeterbereich und geringe Materialabhängigkeit. Zudem lässt sie sich in bestehende Technologien wie bei der drahtlosen Energieübertragung integrieren und durch Sensorfusion mit anderen Verfahren kombinieren. Zur Modellierung und Optimierung werden physikalische Eigenschaften von planaren Spulen und EM-Feldern analysiert und elektrische Ersatzschaltbilder eingesetzt. Die geometriebasierte Berechnung der Gegeninduktivität ermöglicht die Entwicklung und Bewertung geeigneter Ortungsalgorithmen. Stochastische Filterverfahren verbessern zusätzlich die Robustheit gegenüber Umgebungseinflüssen. Abschließend wird eine modulare Simulationsplattform vorgestellt, die als Grundlage für die Generierung von Trainingsdaten sowie zur Weiterentwicklung von Mess-, Ortungs- und Filtermethoden dient.}},
author = {{Lange, Sven}},
pages = {{247}},
publisher = {{Universitätsbibliothek Paderborn}},
title = {{{Analyse und Modellierung eines induktiven Ortungsprozesses unter Berücksichtigung der elektromagnetischen Wechselwirkungen planarer Spulensysteme}}},
doi = {{10.17619/UNIPB/1-2436}},
year = {{2025}},
}
@book{62182,
abstract = {{ 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...
}},
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}},
}
@inbook{62305,
author = {{Reijers, Wessel and Matzner, Tobias and Alpsancar, Suzana}},
booktitle = {{Digital Development. Technology, Ethics and Governance}},
editor = {{Farina, Mirko and Yu, Xiao and Chen, Jin}},
isbn = {{9781003567622}},
publisher = {{Routledge}},
title = {{{Explainability and AI Governance}}},
doi = {{10.4324/9781003567622-22}},
year = {{2025}},
}
@phdthesis{62750,
abstract = {{Diese Dissertation enthält Beiträge zum Bereich der Mehrzieloptimierung mit einem Fokus auf unbeschränkten Problemen, die auf einem allgemeinen Hilbertraum definiert sind. Für Mehrzieloptimierungsprobleme mit lokal Lipschitz-stetigen Zielfunktionen definieren wir ein multikriterielles Subdifferential, das wir erstmals im Kontext allgemeiner Hilberträume analysieren. Aufbauend auf diesen theoretischen Untersuchungen präsentieren wir ein Abstiegsverfahren, bei welchem in jeder Iteration eine Abstiegsrichtung mittels einer numerischen Approximation des multikriteriellen Subdifferentials bestimmt wird. Im Kontext konvexer, stetig differenzierbarer Zielfunktionen mit Lipschitz-stetigen Gradienten, führen wir eine Familie von dynamischen Gradientensystemen mit Trägheitsterm ein, die bekannte kontinuierliche Systeme aus der skalaren Optimierung verallgemeinern. Wir stellen drei neue Systeme vor: eines mit konstanter Dämpfung, eines mit asymptotisch abnehmender Dämpfung und eines, das zusätzlich eine zeitabhängige Tikhonov-Regularisierung beinhaltet. Aufbauend auf den Untersuchungen der neuen dynamischen Gradientensysteme, entwickeln wir ein beschleunigtes Gradientenverfahren zur Mehrzieloptimierung, das auf einer Diskretisierung des multikriteriellen Gradientensystems mit asymptotisch abnehmender Dämpfung beruht. Das hergeleitete Verfahren bewahrt die günstigen Konvergenzeigenschaften des kontinuierlichen Systems und erreicht eine schnellere Konvergenz als klassische Verfahren.}},
author = {{Sonntag, Konstantin}},
publisher = {{Paderborn University}},
title = {{{First-order methods and gradient dynamical systems for multiobjective optimization}}},
doi = {{10.17619/UNIPB/1-2457}},
year = {{2025}},
}
@article{62867,
abstract = {{ABSTRACT
Effective manipulation of photonic spin–orbit coupling (SOC) in microcavities is of fundamental importance within topological photonics and applications. Anisotropic organic single‐crystalline materials can induce abundant SOC phenomenon due to their flexible tunability of molecular geometries, however, the intrinsic relationship between molecular geometries/orientations in 3D space and photonic SOC is lacking. In this study, we design two kinds of 2D organic polymorphs for the construction of organic microcavities to investigate the structure‐performance relationships. In two polymorphic microcavities, two distinctive photonic SOC phenomena are observed regardless of the in‐plane anisotropy of organic polymorphs. Theoretical analysis indicates that the photonic SOC strength is strongly influenced by the synergies between the crystal anisotropy and the tilted collective molecular transition dipole moment. Our results uncover the correlation mechanism between the structure of molecules and photonic SOC and open an avenue to engineer complex photonic SOC by use of organic microstructures towards the development of diverse integrated photonic devices.}},
author = {{Ji, Ying and Ma, Xuekai and Huang, Han and Deng, Yibo and Wang, Pingyang and Long, Teng and Li, Yuan and Zhao, Ruiyang and Li, Yunfei and An, Cunbin and Schumacher, Stefan and Gu, Chunling and Liao, Bo and Fu, Hongbing and Liao, Qing}},
issn = {{1863-8880}},
journal = {{Laser & Photonics Reviews}},
publisher = {{Wiley}},
title = {{{Molecular Orientation‐Dependent Photonic Spin–Orbit Coupling in Organic Microcavities Filled with 2D Polymorphic Crystals}}},
doi = {{10.1002/lpor.202501874}},
year = {{2025}},
}
@inproceedings{62880,
author = {{Osnabrügge, Malin and Tenberge, Claudia}},
booktitle = {{Posterbeitrag im Rahmen der Jahrestagung der DGFE Sekten Sonderpädagogik vom 22-24.09.2025 in Heidelberg }},
location = {{Heidelberg }},
title = {{{Anschluss begleiten: Technisches Lernen zwischen Primar- und Sekundarstufe. Fortbildungen für einen digitalen Unterricht für alle }}},
year = {{2025}},
}
@inproceedings{62888,
author = {{Schemel, Nele and Tenberge, Claudia}},
booktitle = {{Jahrestagung der Deutschen Gesellschaft für Erziehungswissenschaften (DGFE) Sektion Sonderpädagogik 22.-24.09.2025}},
location = {{Heidelberg}},
title = {{{Transitionen inklusiv gestalten. Analoges und digitales technisches Lernen am Übergang vom Elementar- zum Primarbereich}}},
year = {{2025}},
}
@inproceedings{62891,
author = {{Schneider, Lea and Tenberge, Claudia}},
booktitle = {{Posterbeitrag im Rahmen der Jahrestagung der Deutschen Gesellschaft Für Erziehungswissenschaften (DGFE) Sektion Sonderpädagogik 22.-24.09.2025}},
location = {{Heidelberg}},
title = {{{Zwischen Universität und Unterrichtspraxis: Technikbezogene(s) Interesse und Selbstwirksamkeit von (angehenden) Lehrkräften im Sachunterricht}}},
year = {{2025}},
}
@article{62900,
author = {{Hjorth, Therese and Schadow, Alena Marie and Revheim, Ingrid and Spielau, Ulrike and Meyer, Klara and Rieder, Anne and Varela, Paula and Ballance, Simon and Koerner, Antje and Landberg, Rikard and Buyken, Anette and Dierkes, Jutta and Rosendahl-Riise, Hanne}},
issn = {{0002-9165}},
journal = {{The American Journal of Clinical Nutrition}},
number = {{3}},
pages = {{724--732}},
publisher = {{Elsevier BV}},
title = {{{Effectiveness of regular oat β-glucan–enriched bread compared with whole-grain wheat bread on long-term glycemic control in adults at risk of type 2 diabetes: a randomized controlled trial}}},
doi = {{10.1016/j.ajcnut.2025.06.018}},
volume = {{122}},
year = {{2025}},
}
@article{63053,
author = {{Hernández, Carlos and Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Cuate, Oliver and Trautmann, Heike and Schütze, Oliver}},
journal = {{IEEE Transactions on Evolutionary Computation}},
keywords = {{Optimization, Evolutionary computation, Hands, Proposals, Convergence, Computational efficiency, Artificial intelligence, Accuracy, Approximation algorithms, Aerospace electronics, Multi-objective optimization, evolutionary algorithms, nearly optimal solutions, multimodal optimization, archiving, continuation}},
pages = {{1--1}},
title = {{{An Evolutionary Approach for the Computation of ∈-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}}},
doi = {{10.1109/TEVC.2025.3637276}},
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{63344,
abstract = {{Abstract
A Neumann-type initial-boundary value problem for
$$\begin{aligned} \left\{ \begin{array}{l} u_{tt} = \nabla \cdot (\gamma (\Theta ) \nabla u_t) + a \nabla \cdot (\gamma (\Theta ) \nabla u) + \nabla \cdot f(\Theta ), \\ \Theta _t = D\Delta \Theta + \Gamma (\Theta ) |\nabla u_t|^2 + F(\Theta )\cdot \nabla u_t, \end{array} \right. \end{aligned}$$
u
tt
=
∇
·
(
γ
(
Θ
)
∇
u
t
)
+
a
∇
·
(
γ
(
Θ
)
∇
u
)
+
∇
·
f
(
Θ
)
,
Θ
t
=
D
Δ
Θ
+
Γ
(
Θ
)
|
∇
u
t
|
2
+
F
(
Θ
)
·
∇
u
t
,
is considered in a smoothly bounded domain
$$\Omega \subset \mathbb {R}^n$$
Ω
⊂
R
n
,
$$n\ge 1$$
n
≥
1
. In the case when
$$n=1$$
n
=
1
,
$$\gamma \equiv \Gamma $$
γ
≡
Γ
and
$$f\equiv F$$
f
≡
F
, this system coincides with the standard model for heat generation in a viscoelastic material of Kelvin-Voigt type, well-understood in situations in which
$$\gamma =const$$
γ
=
c
o
n
s
t
. Covering scenarios in which all key ingredients
$$\gamma ,\Gamma ,f$$
γ
,
Γ
,
f
and F may depend on the temperature
$$\Theta $$
Θ
here, for initial data which merely satisfy
$$u_0\in W^{1,p+2}(\Omega )$$
u
0
∈
W
1
,
p
+
2
(
Ω
)
,
$$u_{0t}\in W^{1,p}(\Omega )$$
u
0
t
∈
W
1
,
p
(
Ω
)
and
$$\Theta _0\in W^{1,p}(\Omega )$$
Θ
0
∈
W
1
,
p
(
Ω
)
with some
$$p\ge 2$$
p
≥
2
such that
$$p>n$$
p
>
n
, a result on local-in-time existence and uniqueness is derived in a natural framework of weak solvability.}},
author = {{Winkler, Michael}},
issn = {{0095-4616}},
journal = {{Applied Mathematics & Optimization}},
number = {{2}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Rough Data in an Evolution System Generalizing 1D Thermoviscoelasticity with Temperature-Dependent Parameters}}},
doi = {{10.1007/s00245-025-10243-9}},
volume = {{91}},
year = {{2025}},
}
@inproceedings{60746,
author = {{Jakobeit, Darius and Peña López, Mario and Schenke, Maximilian and Haucke-Korber, Barnabas and Wallscheid, Oliver}},
booktitle = {{2025 IEEE International Electric Machines & Drives Conference (IEMDC)}},
publisher = {{IEEE}},
title = {{{Structural Optimization of Meta-Reinforcement Learning-based Finite-Control-Set Direct Torque Control of Permanent Magnet Synchronous Motors}}},
doi = {{10.1109/iemdc60492.2025.11061179}},
year = {{2025}},
}
@inproceedings{63397,
abstract = {{Decarbonizing industrial process heat is a crucial step in mitigating climate change. While Process Mining (PM) has gained traction in sustainability research—such as optimizing production scheduling to reduce energy use or accounting for carbon footprints—it has largely overlooked the challenges and opportunities related to thermal energy, accounting for 66% of total energy demand in industrial processes. At the same time, Heat Integration (HI) is an established engineering discipline focused on maximizing the efficiency of thermal energy systems. However, HI traditionally relies on static or incomplete data about energy demands, limiting its effectiveness and accuracy. In this paper, we propose a novel framework that combines PM and HI to enable data-driven, process- and product-centric modeling of industrial energy demands. By integrating event logs and thermal energy data, our approach allows for a fine-grained analysis of heat demand patterns corresponding to specific process activities and product variants. We demonstrate the applicability and advantages of the framework by simulating a pharmaceutical manufacturing process and evaluating energy demands and heat recovery potentials. Our findings show that our PM-enabled HI framework provides more accurate and actionable insights into the temporal and product-specific variation of thermal energy demands. By capturing the causal relationships between process activities, product characteristics, and energy consumption, our approach enables improved analysis, planning, and optimization for heat recovery and process decarbonization. This integration of PM and HI expands the analytical tools for both disciplines and contributes to advancing the sustainable transformation of industrial processes.}},
author = {{Zapata Gonzalez, David Ricardo and Brennig, Katharina and Benkert, Kay and Schlosser, Florian and Müller, Oliver}},
booktitle = {{ACM SIGEnergy Energy Informatics Review}},
issn = {{2770-5331}},
number = {{3}},
pages = {{19--31}},
publisher = {{Association for Computing Machinery (ACM)}},
title = {{{Process Mining for Robust Heat Integration through Process- and Product-Centric Energy Demand Modeling}}},
doi = {{10.1145/3777518.3777520}},
volume = {{5}},
year = {{2025}},
}
@inproceedings{60604,
abstract = {{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.}},
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}},
}
@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}},
}