@inproceedings{61994,
author = {{Weller, Julian and Nalavade, Sumit and Gmelch, Oliver and Migenda, Nico and Heuwinkel, Tim and Dumitrescu, Roman}},
booktitle = {{Procedia CIRP}},
issn = {{2212-8271}},
pages = {{229--234}},
publisher = {{Elsevier BV}},
title = {{{Advanced Analytics in Smart Factories: Towards an actionable Taxonomy for Prescriptive Analytics Use Cases}}},
doi = {{10.1016/j.procir.2025.03.016}},
volume = {{134}},
year = {{2025}},
}
@inproceedings{61993,
author = {{Dondorf, Verena and Happe, Leonie and Hobscheidt, Daniela and Kürpick, Christian and Dumitrescu, Roman}},
booktitle = {{Proceedings of the Conference on Production Systems and Logistics : CPSL 2025}},
editor = {{Herberger, David and Hübner, Marco }},
publisher = {{publish-Ing.}},
title = {{{Evaluation Of The Challenges In Implementing AI Across The Different Phases - Empirical Insights Derived From AI Implementation Projects In Industry }}},
year = {{2025}},
}
@inproceedings{61998,
author = {{Disselkamp, Jan-Philipp and Lick, Jonas and Azem, Ghayth and Grothe, Robin and Ptock, Lukas and Meyer, Matthias and Kürpick, Dominik and Hovemann, Aschot and Dumitrescu, Roman}},
booktitle = {{Proceedings of the Conference on Production Systems and Logistics: CPSL 2025}},
editor = {{Herberger, David and Hübner, Marco}},
pages = {{640--649}},
publisher = {{publish-Ing.}},
title = {{{Generating An Automated Assembly Graph On The Basis Of The 3D-Geometry Of A Product Assembly Group}}},
year = {{2025}},
}
@inproceedings{61997,
author = {{Disselkamp, Jan-Philipp and Lick, Jonas and Ptock, Lukas and Zacke, Julian and Wilk, Marcel and Ostendorf, Jona and Meyer, Matthias and Westphal, Svenja and Kürpick, Dominik and Hovemann, Aschot and Dumitrescu, Roman}},
booktitle = {{Proceedings of the Conference on Production Systems and Logistics : CPSL 2025}},
editor = {{Herberger, David and Hübner, Marco }},
publisher = {{publish-Ing.}},
title = {{{Case Study For Introducing Digital Cardboard Engineering}}},
year = {{2025}},
}
@article{61244,
abstract = {{Explanations play a crucial role in knowledge transfer and meaning-making and are often described as a co-constructive process in which multiple agents collaboratively shape understanding. However, the metaphors used to conceptualize explaining may influence how this process is framed. This study investigates the extent to which the co-constructive nature of explaining is represented in explaining metaphors. Using a systematic analysis of agency, we examined how these metaphors depict the explanation process and the roles of the agents involved. We found that explaining metaphors lack collaboration between explainer and addressee, constructiveness of the process, as well as bidirectionality and iterativeness. In light of current research on metaphorical framing, the study thus highlights the risk that such explaining metaphors may reinforce a non-co-constructive perspective on explaining and a top-down approach in the development of AI systems as well as other areas.}},
author = {{Porwol, Philip Fabian and Scharlau, Ingrid}},
journal = {{Frontiers in Psychology}},
title = {{{Is explaining more like showing or more like building? Agency in metaphors of explaining}}},
doi = {{https://doi.org/10.3389/fpsyg.2025.1628706}},
year = {{2025}},
}
@inbook{60341,
author = {{Wehde, Janis}},
booktitle = {{Demokratiebildung als Querschnittsaufgabe der Lehrer:innenbildung}},
editor = {{Busch, Matthias and Dittgen, Michell and Frerick, Leonard and Weyand, Birgit}},
isbn = {{978-3-7344-1714-6}},
pages = {{188--200}},
publisher = {{Wochenschau Wissenschaft}},
title = {{{Integration eines Lehrmoduls zur Demokratiebildung in bildungswissenschaftlichen Seminaren der Universität Paderborn}}},
doi = {{10.46499/2248}},
year = {{2025}},
}
@inproceedings{61953,
author = {{Grigoryan, Khoren and Bauer, Eliana and Fichtler, Timm and Asmar, Laban and Kühn, Arno and Dumitrescu, Roman}},
booktitle = {{2025 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC)}},
publisher = {{IEEE}},
title = {{{A Structured Tool Landscape for Data-Driven ProductManagernent}}},
doi = {{10.1109/ice/itmc65658.2025.11106543}},
year = {{2025}},
}
@article{62009,
author = {{Schmelzle, Lars and Striewe, Marius and Mergheim, Julia and Meschut, Gerson and Possart, Gunnar and Teutenberg, Dominik}},
issn = {{0169-4243}},
journal = {{Journal of Adhesion Science and Technology}},
pages = {{1--24}},
publisher = {{Informa UK Limited}},
title = {{{Testing, modelling and parameter identification for adhesively bonded joints under the combined influence of temperature and strain rate}}},
doi = {{10.1080/01694243.2025.2569660}},
year = {{2025}},
}
@article{62016,
author = {{Hälterlein, Jens}},
journal = {{European Journal of International Security}},
title = {{{The more-than-human biopolitics of swarming – complexity, emergence, and control in military robotics}}},
doi = {{10.1017/eis.2025.10023}},
year = {{2025}},
}
@inbook{60080,
author = {{Hambach, Dennis and Settnieri, Julia}},
booktitle = {{Leistungsmessung, Evaluation und Feedback im Fremdsprachenunterricht - Ein Handbuch für Studium, Refendariat und Unterricht}},
editor = {{Vogt, Karin and Rossa, Henning}},
isbn = {{9783772717765}},
pages = {{49--54}},
publisher = {{Klett Kallmeyer}},
title = {{{Fairness}}},
year = {{2025}},
}
@article{62017,
author = {{Mayrhofer, Thomas and Schmitz, Hendrik}},
issn = {{0165-1765}},
journal = {{Economics Letters}},
publisher = {{Elsevier BV}},
title = {{{Prudence and prevention – empirical evidence}}},
doi = {{10.1016/j.econlet.2025.112671}},
volume = {{257}},
year = {{2025}},
}
@article{62020,
author = {{Awais, Muhammad and Mohammadi, Hassan Ghasemzadeh and Platzner, Marco}},
issn = {{1063-8210}},
journal = {{IEEE Transactions on Very Large Scale Integration (VLSI) Systems}},
number = {{9}},
pages = {{2395--2405}},
publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}},
title = {{{Design Space Exploration for Approximate Circuits via Checkpointing and DNN-Based Estimators}}},
doi = {{10.1109/tvlsi.2025.3559377}},
volume = {{33}},
year = {{2025}},
}
@inproceedings{62019,
author = {{Hadipour, Amir Hossein and Jafari, Atousa and Awais, Muhammad and Platzner, Marco}},
booktitle = {{2025 IEEE 28th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)}},
publisher = {{IEEE}},
title = {{{A Two-Stage Approximation Methodology for Efficient DNN Hardware Implementation}}},
doi = {{10.1109/ddecs63720.2025.11006769}},
year = {{2025}},
}
@article{61762,
abstract = {{Abstract
In punch-bending, products such as brackets, electronic contacts or spring elements are produced from wire-shaped semi-finished products using separation processes and several successive forming processes. Within the multi-stage straightening and bending processes, cross-stage and quantity-dependent effects have a significant influence on the quality of the end product. In order to optimize the punch-bending process with regard to the resulting component deviations and waste rate, this article presents the concept of a digital twin for an innovative hybrid model of a multi-stage punch-bending process. To ensure efficient development and implementation of the digital twin, the graphical modeling notation DSL4DPiFS is used for additional support. It makes it possible to derive the required interfaces of the Asset Administration Shell of the hybrid data-driven model.}},
author = {{Peters, Henning and Mazur, Andreas and Pandey, Ankit Kumar and Trächtler, Ansgar and Hammer, Barbara and Homberg, Werner}},
issn = {{0178-2312}},
journal = {{at - Automatisierungstechnik}},
number = {{3}},
pages = {{173--184}},
publisher = {{Walter de Gruyter GmbH}},
title = {{{Development of a digital twin for data-driven modeling of punch-bending processes using a graphical modeling notation}}},
doi = {{10.1515/auto-2024-0112}},
volume = {{73}},
year = {{2025}},
}
@inproceedings{61763,
abstract = {{Abstract. Within the punch-bending process semi-finished products of strip or wire material are formed and punched in several subsequent steps into a finished product like brackets, mounts, contacts or spring elements. In the context of those multi-stage straightening and bending processes, cross-stage and quantity-dependent effects significantly leads to undesired component deviations. To optimize the punch-bending process with regard to these component deviations and thus the waste rate, the concept of a hybrid data-driven model is presented. To automatically acquire and process this hybrid data while also enable the usage by multiple clients, a digital twin has to be developed. In this paper the communication infrastructure between the punch-bending system and the digital twin is presented, using the Asset Administration Shell as specification. This automated communication is validated using exemplary data from the punch-bending system.}},
author = {{Peters, Henning and Mazur, Andreas and Trächtler, Ansgar and Hammer, Barbara}},
booktitle = {{Materials Research Proceedings}},
issn = {{2474-395X}},
publisher = {{Materials Research Forum LLC}},
title = {{{Integration of a digital twin for data-driven modeling of punch-bending processes using the asset administration shell}}},
doi = {{10.21741/9781644903599-166}},
volume = {{54}},
year = {{2025}},
}
@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}},
}
@inbook{61765,
author = {{Mazur, Andreas and Peters, Henning and Artelt, André and Koller, Lukas and Hartmann, Christoph and Trächtler, Ansgar and Hammer, Barbara}},
booktitle = {{Lecture Notes in Computer Science}},
isbn = {{9783032045546}},
issn = {{0302-9743}},
publisher = {{Springer Nature Switzerland}},
title = {{{Studying the Generalization Behavior of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals}}},
doi = {{10.1007/978-3-032-04555-3_16}},
year = {{2025}},
}
@inproceedings{59907,
abstract = {{Abstract. Flow forming is recognized for its precision in producing rotationally symmetric components, but the use of metastable austenitic stainless steel (AISI 304L) introduces challenges due to uncontrolled strain-induced α’ martensite formation. Variations in factors such as eccentricity and batch inconsistencies lead to unpredictable microstructural profiles, limiting reproducibility [1,2]. This study addresses these issues by incorporating thermal actuators for cryogenic cooling and induction heating to regulate forming temperatures, enabling control of the α’-martensite content. Experimental investigations demonstrate that local tempering during thermomechanical reverse flow forming produces discernible variations in microstructure, affecting mechanical and magnetic properties [3]. Controlled local adjustments of α’-martensite content allow for customization of properties in seamless tubes, advancing manufacturing capabilities for complex, defect-free components. The results presented demonstrate promising strategies for implementation within the context of closed-loop property control in flow forming.}},
author = {{Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler, Ansgar and Rozo Vasquez, Julian and Walther, Frank}},
booktitle = {{Materials Research Proceedings}},
editor = {{Carlone, Pierpaolo and Filice, Luigino and Umbrello, Domenico}},
issn = {{2474-395X}},
keywords = {{Flow Forming, Thermomechanical Forming, α’-Martensite, Property Control}},
location = {{Paestum, Italy}},
publisher = {{Materials Research Forum LLC}},
title = {{{Advanced thermomechanical flow forming: A novel approach to α’-martensite control for enhanced material properties}}},
doi = {{10.21741/9781644903599-127}},
volume = {{54}},
year = {{2025}},
}
@article{62024,
abstract = {{Abstract
This paper presents a characterization of the microstructural evolution and its correlation with the magnetic structure due to flow forming of semi-finished tubes of austenitic stainless steel AISI 304L. The plastic deformation triggers a phase transformation of the metastable austenite into α’-martensite.
Depending on the combination of production parameters, different fractions of strain-induced α’-martensite were measured by means non-destructive micromagnetic techniques and correlated with the evolution of hardness and the microstructure using electron backscatter diffraction analyses. The magneto-optical Kerr effect analysis was used as a tool to perform a qualitative analysis of the evolution of the magnetic domain structure correlated with the formation of α’-martensite. An analysis of these data allowed to derive surface magnetization hysteresis loops that were compared with integral hysteresis loops of the specimens. It was proven by both methods that the formation of martensite increases the magnetic energy and the spontaneous magnetization of the specimens. The results of this investigation contribute to a better understanding of micromagnetic sensors to monitor and control the formation of α’-martensite in a flow forming. Furthermore, various techniques have demonstrated the evolution of the magnetic properties of the material, which can be applied in applications for invisible coding of workpieces.}},
author = {{Rozo Vasquez, Julian and Tappe, Jan and Arian, Bahman and Kersting, Lukas and Homberg, Werner and Trächtler, Ansgar and Walther, Frank}},
issn = {{2195-8599}},
journal = {{Practical Metallography}},
number = {{9-10}},
pages = {{617--633}},
publisher = {{Walter de Gruyter GmbH}},
title = {{{Magneto-optical Kerr effect analysis of strain-induced martensite formation during flow forming of metastable austenitic steel AISI 304L}}},
doi = {{10.1515/pm-2025-0059}},
volume = {{62}},
year = {{2025}},
}
@inproceedings{62022,
abstract = {{Abstract. The incremental flow forming process features a large number of process parameter combinations that can be varied from pass to pass or during a pass. In the future however, a more efficient utilization of this large number of process parameter combinations and a compensation of process disturbances could be required. This is due to a rising demand for increasing the part complexity, e.g. by graded property structures or a more complex geometry. In this context, innovative approaches like closed-loop property control and optimal control are advantageous, but require fast process models of flow forming that are not state of the art. This paper thus proposes a new modelling approach of multi-pass flow forming especially taking the transfer behavior between process parameters and wall thickness evolution from pass to pass into focus. A hybrid modelling approach is developed that combines knowledge about the incremental process character with empirical data regression to a basic analytic relation. The basic relation is further extended by a multi-layer neural network to enhance the overall model accuracy. This hybrid modelling approach is finally validated using experimental data. Thus, it is shown that a suitable model structure was found in context of a future closed-loop control or optimal control for multi-pass flow forming.}},
author = {{Kersting, Lukas and Gunasagran, Sharin Kumar and Arian, Bahman and Rozo Vaszquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}},
booktitle = {{Materials Research Proceedings}},
issn = {{2474-395X}},
publisher = {{Materials Research Forum LLC}},
title = {{{Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model}}},
doi = {{10.21741/9781644903599-140}},
volume = {{54}},
year = {{2025}},
}