@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}},
}

@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{61762,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>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.</jats:p>}},
  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     = {{<jats:p>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.</jats:p>}},
  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     = {{<jats:title>Abstract</jats:title>
               <jats:p>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.</jats:p>}},
  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     = {{<jats:p>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.</jats:p>}},
  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     = {{<jats:title>Abstract</jats:title>
               <jats:p>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.</jats:p>
               <jats:p>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.</jats:p>}},
  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     = {{<jats:p>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.</jats:p>}},
  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}},
}

@article{62023,
  abstract     = {{<jats:title>Zusammenfassung</jats:title>
               <jats:p>Die Eigenschaftsregelung mit einer online-Messung der Bauteileigenschaften ist ein in der Umformtechnik viel diskutiertes, aber kaum validiertes Konzept, um den Automatisierungsgrad bei der Bauteilfertigung weiter zu erhöhen. Dieser Artikel soll helfen, die Lücke beispielhaft für den Fertigungsprozess des Drückwalzens metastabiler Austenite zu schließen. Der metastabile austenitische Edelstahl ändert hierbei während der Verformung seinen α′-Martensitgehalt und damit verbunden die magnetischen Eigenschaften. Deshalb soll über die Regelung das definierte Einstellen des α′-Martensitgehaltes möglich werden. Im Rahmen des vorliegenden Artikels wird gezeigt, wie mittels des modellbasierten Entwurfs die Eigenschaftsregelung ausgelegt und parametriert werden kann. Zudem beinhaltet der Artikel experimentelle Validierungsergebnisse der zuvor entworfenen Eigenschaftsregelung.</jats:p>}},
  author       = {{Kersting, Lukas and Arian, Bahman and Rozo Vasquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}},
  issn         = {{0178-2312}},
  journal      = {{at - Automatisierungstechnik}},
  number       = {{7}},
  pages        = {{527--540}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Modellbasierter Entwurf und Validierung einer Eigenschaftsregelung für das Drückwalzen metastabiler Austenite}}},
  doi          = {{10.1515/auto-2024-0127}},
  volume       = {{73}},
  year         = {{2025}},
}

@article{62021,
  author       = {{Kersting, Lukas and Arian, Bahman and Rozo Vasquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  number       = {{1}},
  pages        = {{109--114}},
  publisher    = {{Elsevier BV}},
  title        = {{{State-space modelling approach for control and observer design in property-controlled reverse flow forming}}},
  doi          = {{10.1016/j.ifacol.2025.03.020}},
  volume       = {{59}},
  year         = {{2025}},
}

@inproceedings{62083,
  author       = {{Nölle, Florian and Schmid, Hans-Joachim}},
  booktitle    = {{Tag der Lehre 2025}},
  location     = {{Universität Paderborn, Paderborn}},
  title        = {{{Erfolgreich Studieren – sinnvolle Lernstrategien erlernen}}},
  year         = {{2025}},
}

@inproceedings{61043,
  abstract     = {{<jats:p>Dynamic market conditions, technological disruption and social change require organizations to continuously adapt and evolve. However, studies on organizational change show that the majority of transformations undertaken fail because they are characterized by a lack of clarity, overload and ineffective measures. This paper shows how a clear structure as a critical success factor can make the chaos and challenges of a transformation manageable.  The focus here is on a practice-oriented framework that divides a transformation into nine essential building blocks with activities that are critical to success. The structure of the framework is understood as a flexible organizing principle for a transformation without hindering creativity and dynamics. Case studies show the adaptability and applicability of the framework to different characteristics and dimensions of transformation. The transformation framework provides an operative structure and enables transformation managers for transparent orchestration and implementation of transformation.</jats:p>}},
  author       = {{Gräßler, Iris and Grewe, Benedikt and Fritzen, Marc}},
  booktitle    = {{AHFE International}},
  issn         = {{2771-0718}},
  location     = {{Pula, Croatia}},
  publisher    = {{AHFE International}},
  title        = {{{The importance of structure in transformation chaos: A Transformation Framework}}},
  doi          = {{10.54941/ahfe1006790}},
  volume       = {{198}},
  year         = {{2025}},
}

@inproceedings{61055,
  abstract     = {{<jats:title>ABSTRACT:</jats:title><jats:p>Challenges of increasing system complexity and the need for interdisciplinary collaboration are prompting companies to reorganize towards Systems Engineering (SE). As part of the implementation of large-scale transformation programs, transformation progress is of great interest to management and employees involved. Existing maturity models lack measurable variables and reliable forecast. For this reason, a maturity model for evaluating SE Transformation is developed, that builds on quantitative metrics and enables an overarching view on transformation considering cultural aspects. Literature-based criteria for evaluating SE Transformation lay the foundation for measures and referenced metrics and indicators. Due to its data-centricity, the model presented enables a more comprehensive, fact-based decision-making basis for the design and steering of SE Transformation programs.</jats:p>}},
  author       = {{Graessler, Iris and Grewe, Benedikt and Felgen, Luc}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  location     = {{Dallas, USA}},
  pages        = {{1081--1090}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Data-driven decision support in the design and controlling of systems engineering transformation: a maturity model}}},
  doi          = {{10.1017/pds.2025.10122}},
  volume       = {{5}},
  year         = {{2025}},
}

@article{60140,
  abstract     = {{<jats:title>Abstract</jats:title>
	  <jats:p>The increasing prevalence of embedded software in today’s vehicles is leading to growing complexity, which can only be managed effectively through the use of reliable interdisciplinary engineering processes. With this in mind, systems engineering (SE) is currently being introduced on a large scale into the automotive industry. Pilot projects have demonstrated the potential for implementing changes, but these have not yet been accompanied by viable implementation concepts for SE. In the context of the proposed application-based research, the SETup automotive method (<jats:bold>S</jats:bold>ystems <jats:bold>E</jats:bold>ngineering <jats:bold>T</jats:bold>ransformation <jats:bold>u</jats:bold>nder <jats:bold>p</jats:bold>iloting in the <jats:bold>automotive</jats:bold> industry) is presented, which comprises a step-by-step procedure of introducing SE into large automotive companies. By introducing SE by pilot projects first, both an in-process tailoring of all processes, methods, tools and structures (PMTS) required for the introduction and an in-process validation of the pilot scheme elaborated by the pilot projects are achieved. The presented method builds upon fundamental approaches to change management, which have been developed over many years in both research and practice. It has been validated by the industrial practice of SE transformation at German car manufacturers and suppliers. As a result, decision-makers, transformation managers and systems engineers are provided with a scientifically based and field-tested set of steps for the introduction of SE in their own company.</jats:p>}},
  author       = {{Graessler, Iris and Grewe, Benedikt}},
  issn         = {{2053-4701}},
  journal      = {{Design Science}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{SETup automotive: a Method for Systems Engineering Transformation in automotive industry}}},
  doi          = {{10.1017/dsj.2025.10}},
  volume       = {{11}},
  year         = {{2025}},
}

@article{60940,
  author       = {{Gräßler, Iris and Rarbach, Sven and Grewe, Benedikt}},
  issn         = {{2942-6170}},
  journal      = {{Industry 4.0 Science}},
  number       = {{3}},
  publisher    = {{GITO mbH Verlag}},
  title        = {{{Strategic Product Planning Model – Digital twins for circular products and production processes}}},
  doi          = {{10.30844/i4se.25.3.24}},
  volume       = {{2025}},
  year         = {{2025}},
}

@inproceedings{61099,
  author       = {{Gräßler, Iris and Rarbach, Sven}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{207--212}},
  publisher    = {{Elsevier BV}},
  title        = {{{Model-based Impact Analysis for Engineering Sustainable Products in Value Creation Networks}}},
  doi          = {{10.1016/j.procir.2025.08.037}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{62153,
  author       = {{Gräßler, Iris and Grewe, Benedikt}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  pages        = {{936--942}},
  publisher    = {{Elsevier BV}},
  title        = {{{Structuring Systems Engineering Transformation: A three-step cycle of Transformation}}},
  doi          = {{10.1016/j.procir.2025.08.159}},
  volume       = {{136}},
  year         = {{2025}},
}

@inproceedings{60013,
  author       = {{Gräßler, Iris and Pottebaum, Jens and Nyhuis, Peter and Schmidt, Matthias and Grewe, Benedikt and Vollenkemper, Felix and Hesse, Thomas and Meinecke, Tim}},
  booktitle    = {{Stuttgarter Symposium für Produktentwicklung (SSP) 2025}},
  editor       = {{Hölzle, Katharina and Kreimeyer, Matthias and Roth, Daniel and Maier, Thomas and Riedel, Oliver}},
  location     = {{Stuttgart}},
  pages        = {{509--518}},
  publisher    = {{Fraunhofer IAO}},
  title        = {{{Evolving Design for Assembly, Disassembly and Reassembly into a new paradigm: Design-for-Capabilities with Hybrid Decision Support as an enabler for circular products}}},
  year         = {{2025}},
}

@article{58236,
  abstract     = {{<jats:p>In the engineering of complex technical systems, Systems Engineering (SE) is a key approach that is becoming increasingly relevant in more and more industries due to the ever-increasing complexity of systems. Over the decades of practical application and research, various specializations and forms of the Systems Engineering approach have developed, but there has so far been a lack of an overarching context and positioning in meaningful stages for the introduction of Systems Engineering in companies. For this reason, this research will systematize common Systems Engineering approaches and bring them together in a stage model for Systems Engineering. Based on a systematic literature review, use cases are identified for each approach and stage, which support companies in selecting an approach suitable for their own organization.</jats:p>}},
  author       = {{Gräßler, Iris and Grewe, Benedikt}},
  issn         = {{2079-8954}},
  journal      = {{Systems}},
  keywords     = {{Systems Engineering Transformation, maturity, Systems Engineering stages, approaches, SE}},
  number       = {{1}},
  publisher    = {{MDPI AG}},
  title        = {{{Stages of Systems Engineering: An Analysis and Characterization of Systems Engineering Approaches}}},
  doi          = {{10.3390/systems13010053}},
  volume       = {{13}},
  year         = {{2025}},
}