@inproceedings{57174,
  abstract     = {{Increasing the sustainability and resource efficiency of forming processes is one of today's major goals. High-strength wire materials are usually available as strip material and are subjected to a downstream forming process such as punch-bending to produce parts for the electronics industry, for example. During the manufacturing process of the semi-finished product, residual stresses and plastic deformations are introduced into the wire by rolling and drawing processes. Straightening machines are used in the production lines to compensate for these. To increase the sustainability of these production lines, the straightening process is an essential step. Before the continuous manufacturing process starts, the straightening process must be set up and the optimal roller positions must be found. Once the process is set up, the roller position settings are usually not changed. Due to missing measurement systems for the straightening quality, it is not possible to dynamically adjust the positions of the straightening rollers to variations in the material properties. This leads to deviations in the dimensional accuracy of the components to be produced and thus to an increase in the rejection rate in the manufacturing processes. To reduce the rejection rate, a novel control system for a continuous feedback control of a straightening process is presented in this paper. This leads to a reduction of the rejection rate and unnecessary preforming operations in wire straightening process. The result is an increasing sustainability and efficiency of these production process.}},
  author       = {{Bathelt, Lukas and Djakow, Eugen and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Innovative control system for straightening machines using sensor information from downstream processes}}},
  doi          = {{10.21741/9781644903131-308}},
  volume       = {{41}},
  year         = {{2024}},
}

@inproceedings{57178,
  abstract     = {{The incremental flow forming process is currently enhanced in research context by special closed-loop property control concepts to increase the productivity and to control the product properties making invisible property structures like a magnetic barcode possible. However, it is preferred to establish property control concepts on single roller machines instead of conventional machines with three roller actuation due to the better machine accessibility. For those single roller machines, rather poor surface qualities of flow formed workpieces were observed in the past especially for hydraulic actuators. Thus, a new actuator closed-loop position control concept is developed in this paper using model-based control design methods and taking the flow forming forces as a load into account. The novel closed-loop control is validated during workpiece production at the actual single roller flow forming machine. An analysis of the manufactured workpieces show that the surface quality is significantly enhanced by the new control to a roughness level almost similar to conventional three roller flow forming. Thus, a sincere added value to the flow forming process is offered by the novel actuator closed-loop position control.}},
  author       = {{Kersting, Lukas and Sander, Sebastian and Arian, Bahman and Rozo Vasquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Improving the flow forming process by a novel closed-loop control}}},
  doi          = {{10.21741/9781644903131-158}},
  volume       = {{41}},
  year         = {{2024}},
}

@inproceedings{57183,
  abstract     = {{In multi-stage bending and straightening operations cross-stage and quantity-dependent effects crucially affect the quality of the end product. Using punch-bending units in combination with a mechatronic straightening device can improve the accuracy and repeatability of product features remarkably well. In this work a concept for an innovative hybrid model of a roll straightener in a multi-stage straightening and multi-stage bending process is proposed. This model combines data-driven elements with expert knowledge and aims to minimise residual errors of the roll straightener to reliably decrease the risk of disadvantageous cross-stage and quantity-dependent effects on a subsequent punch-bending process.}},
  author       = {{Peters, Henning and Djakow, Eugen and Rostek, Tim and Mazur, Andreas and Trächtler, Ansgar and Homberg, Werner and Hammer, Barbara}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Novel approach for data-driven modelling of multi-stage straightening and bending processes}}},
  doi          = {{10.21741/9781644903131-252}},
  volume       = {{41}},
  year         = {{2024}},
}

@inproceedings{57171,
  abstract     = {{In manufacturing, property control ensures efficient part production. However, in reverse flow forming, current practices focus on geometry control rather than property control. To address the complexity of the process and tool machine interaction, process control is crucial for defined component properties. This study focuses on controlling local α’ martensite content in reverse flow forming of seamless AISI 304L steel tubes. Strategies and systems are presented to influence α’ martensite content, creating unique microstructure profiles for 1D  and 2D Gradings, with tangible component outcomes.}},
  author       = {{Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler, Ansgar and Rozo Vasquez, Julian and Walther, Frank}},
  booktitle    = {{Materials Research Proceedings}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Thermomechanical reverse flow forming of AISI 304L}}},
  doi          = {{10.21741/9781644903131-151}},
  volume       = {{41}},
  year         = {{2024}},
}

@inproceedings{57177,
  author       = {{Jahneke, Julien and Nolte, Udo and Henkenjohann, Mark and Seidenberg, Tobias and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{2024 IEEE Aerospace Conference}},
  publisher    = {{IEEE}},
  title        = {{{Development and Implementation of a Modular Interface for a DroneCAN Communication Bus}}},
  doi          = {{10.1109/aero58975.2024.10521247}},
  year         = {{2024}},
}

@inproceedings{57180,
  author       = {{Lenz, Cederic and Bause, Maximilian and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{2024 International Conference on Advanced Robotics and Mechatronics (ICARM)}},
  publisher    = {{IEEE}},
  title        = {{{Boosting Low Data PINN Robustness with Transfer Learning*}}},
  doi          = {{10.1109/icarm62033.2024.10715896}},
  year         = {{2024}},
}

@inproceedings{56347,
  abstract     = {{<jats:p>The content of university teaching in engineering sciences, particularly in product creation, is characterised by the development of application skills. Changing working conditions require new teaching concepts that are oriented towards the needs of students and practice and consider the acquisition of soft skills. A key method to be considered in this context is the Scenario-Technique. In this paper, a one-day workshop based on a software tool for the Scenario-Technique is presented that focusses on competence development for Scenario-Technique in form of a learning concept. Based on a systematic literature analysis, existing approaches for learning the Scenario-Technique are identified and requirements for a subsequently developed software-supported Scenario-Technique workshop are established. Using a case study, the learning concept is validated in two test phases for comprehensibility, user-friendliness, and practical suitability. The result is a concept that enables practice-oriented learning of the Scenario-Technique.</jats:p>}},
  author       = {{Gräßler, Iris and Tusek, Alena Marie}},
  booktitle    = {{AHFE International}},
  location     = {{Split}},
  publisher    = {{AHFE International}},
  title        = {{{Case study on the software-supported development of competences in Scenario-Technique}}},
  doi          = {{10.54941/ahfe1005548}},
  volume       = {{158}},
  year         = {{2024}},
}

@inproceedings{57101,
  author       = {{Gräßler, Iris and Rarbach, Sven and Wiechel, Dominik}},
  booktitle    = {{2024 IEEE International Symposium on Systems Engineering (ISSE)}},
  location     = {{Perugia, Italy}},
  publisher    = {{IEEE}},
  title        = {{{Artifact-Oriented Tailoring Approach for Model-Based Impact Analysis}}},
  doi          = {{10.1109/isse63315.2024.10741104}},
  year         = {{2024}},
}

@inproceedings{57181,
  author       = {{Lenz, Cederic and Bause, Maximilian and Reiling, Fabian and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)}},
  publisher    = {{IEEE}},
  title        = {{{Contextual Anomaly Detection in Hot Forming Production Line using PINN Architecture}}},
  doi          = {{10.1109/aim55361.2024.10637234}},
  year         = {{2024}},
}

@inproceedings{54540,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>System models are used to merge relevant engineering artefacts and relationships. Therefore, a high model quality must be ensured. Currently, there is no method for defining company-specific metrics to assess system model quality. In a six-step research approach, a method is defined: (1) literature analysis on quality assessment approaches, (2) derivation of success factors, (3) evaluation of approaches, (4) development of a method, (5) application in automotive industry, and (6) evaluation. The method supports system engineers to derive tailored metrics to objectively assess the model quality.</jats:p>}},
  author       = {{Gräßler, Iris and Wiechel, Dominik and Özcan, Deniz and Taplick, Patrick}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{2545--2554}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Tailored metrics for assessing the quality of MBSE models}}},
  doi          = {{10.1017/pds.2024.257}},
  volume       = {{4}},
  year         = {{2024}},
}

@inproceedings{46451,
  abstract     = {{New technologies and materials carry significant potential for sustainable production and use of products. As an example, Additive Manufacturing technologies and materials promise lightweight design and energy efficient use of parts. Exhausting the full potential requires: a) consideration of uncertainties with respect to future capabilities, and b) upgradeable design guidelines to cover advancements consistently. The proposed approach merges concepts of Design-for-X with foresight algorithms of Scenario-Technique to derive actionable knowledge. It is validated by an application in the field of Additive Manufacturing, namely Metal Fused Deposition Modelling. Engineers benefit from the intuitive access to heterogeneous types of sustainability related information.}},
  author       = {{Gräßler, Iris and Mozgova, Iryna and Pottebaum, Jens and Ott, Manuel and Jung, Philipp and Hesse, Philipp}},
  booktitle    = {{17th CIRP Conference on Intelligent Computation in Manufacturing Engineering}},
  keywords     = {{Design-for-X, Scenario-Technique, sustainability, uncertainty, Life-Cycle Engineering, Additive Manufacturing, Circular Economy}},
  location     = {{Gulf of Naples}},
  pages        = {{549--554}},
  publisher    = {{Elsevier}},
  title        = {{{Handling of uncertainties in the design of sustainable Additive Manufacturing products by merging Design-for-X and Scenario-Technique}}},
  doi          = {{10.1016/j.procir.2024.08.238}},
  volume       = {{126}},
  year         = {{2024}},
}

@inproceedings{57445,
  abstract     = {{Knowledge management is essential for successful disaster management. This paper conducts a Systematic Literature Review at the intersection of the knowledge management field and disaster management and examines the available body of literature. Fire departments are chosen as the focus group as they are the most prevalent emergency services. There are many publications that deal with knowledge management during the response phase of an emergency. Often, the literature focuses on the application of knowledge management in large-scale disasters to link the various organizations on-scene. What is missing in most approaches is a prior step of implementing and training the knowledge management system. Therefore, this literature review seeks to provide an overview of approaches for daily routines and small-to-medium incidents that serve as a training ground. However, literature on non-incident phases and smaller incidents is scarce. As information technologies are developing rapidly, there is no modern and recent description of the current use of knowledge management solutions in this area.}},
  author       = {{Schultz, Andreas Maximilian and Dotzki, Fabian and Mozgova, Iryna}},
  booktitle    = {{Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management}},
  keywords     = {{Knowledge Management, Civil Protection, Systematic Literature Review, Fire Brigade}},
  location     = {{Porto, Portugal}},
  publisher    = {{SCITEPRESS - Science and Technology Publications}},
  title        = {{{Knowledge Management in Civil Protection at the Example of Fire Brigades}}},
  doi          = {{10.5220/0012947700003838}},
  year         = {{2024}},
}

@inproceedings{57182,
  abstract     = {{Generative design suggestions and topology optimizations can help to reduce iterative process loops between calculation and design departments during product development processes. However, precise topology optimizations are computationally intensive, while generative designs benefit from swift suggestions to address design problems efficiently. Using artificial neural networks (ANN) can address this contrast of pre-defined aims by predicting topology-optimized designs, thereby combining both advantageous features. However, a challenge in Mass Customization is, that ANN are usually trained on specific geometries, making transfer to other applications impractical or requiring the creation of new datasets, which is economically unfeasible. Authors have already demonstrated a solution in other publications: dividing a geometry into geometric primitives like cuboids to perform abstraction. An ANN can then be trained to recognize optimized cuboids, which can be assembled back into a complete geometry, comparable to the finite element methods, which divide geometries of parts in finite elements enable mechanical property calculation. This publication aims to illustrate the steps of the approach in which the complete geometry of a part is segmented into these primitives, and the benefits obtained. Various methods will be explored, including automated workflows on modern low-code platforms, to enable generalized use.}},
  author       = {{Ott, Manuel and Meihöfener, Niclas and Mozgova, Iryna}},
  booktitle    = {{Proceedings of the 11. Conference on Mass Customization and Personalization (MCP)}},
  editor       = {{Anisic, Zoran  and Forza, Cipriano}},
  isbn         = {{978-86-6022-686-2}},
  location     = {{Novi Sad, Serbia}},
  publisher    = {{Faculty of Technical Science, Department of Industrial Engineering and Management }},
  title        = {{{An approach to use generic data sets for neural networks in product designs through geometric abstraction via primitives}}},
  year         = {{2024}},
}

@inproceedings{54301,
  author       = {{Schultz, Andreas Maximilian and Dotzki, Fabian and Mozgova, Iryna}},
  booktitle    = {{Proceedings of the 21st ISCRAM Conference}},
  editor       = {{Penkert, Berthold and Hellingrath, Bernd and Rode, Monika and Widera, Adam and Middelhoff, Michael and Boersma, Kees and Kalthöner, Matthias}},
  location     = {{Münster}},
  title        = {{{State of Knowledge Management among German firefighters}}},
  doi          = {{https://doi.org/10.59297/ndd24w94}},
  year         = {{2024}},
}

@article{57540,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Rolling processes of conventional cast Al-Li alloys quickly reach their limits due to relatively poor material formability. This can be overcome by using twin-roll casting to produce thin sheets. Further thermomechanical treatment, including hot or cold rolling, and heat treatment can adjust the mechanical properties of twin-roll cast Al-Li sheets. The whole manufacturing chain requires detailed knowledge of the precipitation and dissolution behavior during heating, soaking and cooling, to purposefully select any process parameters. This study shows the process chain of a twin-roll cast Al–Cu–Li alloy achieving a hardness of around 180 HV1 by adapting the heat treatment parameters for homogenisation, hot rolling and age hardening. Both hardness and microstructure evolution are visualised along the process chain.</jats:p>}},
  author       = {{Mallow, Sina and Broer, Jette and Milkereit, Benjamin and Grydin, Olexandr and Hoyer, Kay-Peter and Garthe, Kai-Uwe and Milaege, Dennis and Boyko, Viktoriya and Schaper, Mirko and Kessler, Olaf}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Process chain of a twin-roll cast aluminium-copper-lithium alloy}}},
  doi          = {{10.1007/s11740-024-01322-x}},
  year         = {{2024}},
}

@article{57575,
  author       = {{Beule, Felix and Teutenberg, Dominik and Meschut, Gerson}},
  issn         = {{0169-4243}},
  journal      = {{Journal of Adhesion Science and Technology}},
  pages        = {{1--20}},
  publisher    = {{Informa UK Limited}},
  title        = {{{Analysis of the anisotropic mechanical properties of structural adhesive joints with curing-induced pre-deformations}}},
  doi          = {{10.1080/01694243.2024.2427799}},
  year         = {{2024}},
}

@inproceedings{57584,
  abstract     = {{<jats:p>There are numerous initiatives and lighthouse projects around Gaia-X to create the basics of open, trustworthy data ecosystems. One of the challenges in building these data ecosystems is to convince everyone involved of the advantages of multilateral data sharing. A prerequisite is also a common understanding of the rights of use and access to the data. Data sovereignty means that the data provider decides which data with which usage and access rights he wants to make accessible to which user group. Standardised digital representations by, for instance, the Asset Administration Shell (AAS enable creation of such data ecosystems, interlinking the physical and digital space. In the paper at hand, a conceptual approach named Decide4Eco is presented with the aim to enable systematic and flexible decision-making support for product planning and development concerning the sustainability of a product and the entire value chain. Methods of sustainability assessment are expanded to include predictive AI-based effects analyses.</jats:p>}},
  author       = {{Gräßler, Iris and Pottebaum, Jens and Holland, Martin and Wiechel, Dominik and Dickopf, Thomas and Stjepandić, Josip}},
  booktitle    = {{Proceedings of the 31st ISTE International Conference on Transdisciplinary Engineering}},
  editor       = {{Stjepandic, Josip}},
  isbn         = {{9781643685502}},
  issn         = {{2352-751X}},
  location     = {{London}},
  pages        = {{175--184}},
  publisher    = {{IOS Press}},
  title        = {{{Leveraging Data Ecosystems in Model-Based Systems Engineering for Ecological, Circular Added Value}}},
  doi          = {{10.3233/atde240858}},
  volume       = {{60}},
  year         = {{2024}},
}

@inproceedings{57477,
  author       = {{Haas, Franz and Tiefnig, Raphael  and Braun, Marcel Patrick Klaus and Taschauer, Michael  and Steinacker, Stephan }},
  booktitle    = {{Metal Additive Manufacturing Conference, MAMC 2024}},
  location     = {{Aachen}},
  title        = {{{Process Development and Risk Assessment for Processing Magnesium Alloys using LPBF Technology}}},
  year         = {{2024}},
}

@phdthesis{52678,
  author       = {{Yang, X.}},
  isbn         = {{978-3-947647-35-4}},
  title        = {{{Eine Methode zur Unterstützung von Entscheidungen bei der Entwicklung modularer Leichtbauprodukte }}},
  volume       = {{Band 416}},
  year         = {{2024}},
}

@inproceedings{57897,
  author       = {{Paul, Andreas and Elsner, Andreas and Kasper, Tina and Schumacher, Daniel and Vrabec, Jadran  and Hölscher, Heike  and Bluemel, Marcus  and Wollny, Wenke and Becker, Wolfgang and Brzoska-Steinhaus, Nicola }},
  location     = {{September}},
  title        = {{{Alterungsbedingter Anstieg der Energieaufnahme von Haushaltskältegeräten}}},
  year         = {{2024}},
}