@article{62053,
  abstract     = {{<jats:title>ABSTRACT</jats:title><jats:p>This paper deals with micromagnetic measurements for online detection of strain‐induced α′‐martensite during plastic deformation of metastable austenitic steel AISI 304L. The operating principles of the sensors are magnetic Barkhausen noise (MBN) and eddy currents (EC), which are suitable for detection of microstructure evolution due to formation of ferromagnetic phases. The focus of this study was put on the qualification of different micromagnetic techniques and different measurement systems under conditions similar to the real ones during production, which is crucial for implementation of a property‐controlled flow forming process. The investigation was carried out on tubular specimens produced by flow forming, which have different content of α′‐martensite. To characterize the sensitivity of the sensors, different contact conditions between sensors and workpieces were reproduced. MBN sensors are suitable for detecting amount of α′‐martensite, but the measurements are affected by the surface roughness. This entails that the calibration models for MBN sensors must take account of these effects. EC sensors show a closer match with the amount of α′‐martensite without having major affectation by other effects.</jats:p>}},
  author       = {{Rozo Vasquez, Julian and Kanagarajah, Hanigah and Arian, Bahman and Kersting, Lukas and Homberg, Werner and Trächtler, Ansgar and Walther, Frank}},
  issn         = {{2577-8196}},
  journal      = {{Engineering Reports}},
  number       = {{1}},
  publisher    = {{Wiley}},
  title        = {{{Barkhausen Noise‐ and Eddy Current‐Based Measurements for Online Detection of Deformation‐Induced Martensite During Flow Forming of Metastable Austenitic Steel <scp>AISI 304L</scp>}}},
  doi          = {{10.1002/eng2.13070}},
  volume       = {{7}},
  year         = {{2024}},
}

@inproceedings{56863,
  author       = {{Schiebel, Fabian Benedikt and Sattler, Florian and Schubert, Philipp Dominik and Apel, Sven and Bodden, Eric}},
  booktitle    = {{38th European Conference on Object-Oriented Programming (ECOOP 2024)}},
  editor       = {{Aldrich, Jonathan and Salvaneschi, Guido}},
  isbn         = {{978-3-95977-341-6}},
  issn         = {{1868-8969}},
  pages        = {{36:1–36:28}},
  publisher    = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}},
  title        = {{{Scaling Interprocedural Static Data-Flow Analysis to Large C/C++ Applications: An Experience Report}}},
  doi          = {{10.4230/LIPIcs.ECOOP.2024.36}},
  volume       = {{313}},
  year         = {{2024}},
}

@article{52587,
  author       = {{Bodden, Eric and Pottebaum, Jens and Fockel, Markus and Gräßler, Iris}},
  issn         = {{1540-7993}},
  journal      = {{IEEE Security & Privacy}},
  keywords     = {{Law, Electrical and Electronic Engineering, Computer Networks and Communications}},
  number       = {{1}},
  pages        = {{69--72}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Evaluating Security Through Isolation and Defense in Depth}}},
  doi          = {{10.1109/msec.2023.3336028}},
  volume       = {{22}},
  year         = {{2024}},
}

@inproceedings{48577,
  author       = {{Henkenjohann, Mark and Nolte, Udo and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{2023 International Conference on Unmanned Aircraft Systems (ICUAS)}},
  publisher    = {{IEEE}},
  title        = {{{Novel Cascaded Incremental Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL}}},
  doi          = {{10.1109/icuas57906.2023.10156317}},
  year         = {{2023}},
}

@inproceedings{44316,
  author       = {{Rozo Vasquez, Julian and Arian, Bahman and Kersting, Lukas and Walther, Frank and Homberg, Werner and Trächtler, Ansgar}},
  location     = {{Krakau}},
  title        = {{{Softsensor model of phase transformation during flow forming of metastable austenitic steel AISI 304L}}},
  year         = {{2023}},
}

@article{48781,
  abstract     = {{In a punch-bending machine, wire products are manufactured for a wide range of industrial sectors, such as the electronics industry. The raw material for this process is flat wire made of high-strength steel. During the manufacturing process of the flat wire, residual stresses and plastic deformations are induced into the wire. These residual stresses and deformations fluctuate over the length of the semi-finished product and have a negative effect on the final product quality. Straightening machines are used to reduce this influence to a minimum. So far, the adjustment of a straightening machine has been performed manually, which is a lengthy and complex task even for an experienced worker. This inevitably leads to the use of inefficient straightening strategies and causes high rejection rates in the entire production process. Due to a lack of sensor information from the straightening operation, application of modern feedback control methods has not been practicable. This paper presents a novel design for a straightening machine with an integrated, precise straightening force measurement. By simultaneously monitoring the position of the straightening rollers, state variables of the straightening operation can be derived. Additionally, a tension control for feeding the flat wire is introduced. This is implemented to mitigate the disturbing effects caused by irregularities in the wire-feeding process. In the results of this article, the high precision of the developed force measurement design and its possible applications are shown.}},
  author       = {{Bathelt, Lukas and Scurk, Maximilian and Djakow, Eugen and Henke, Christian and Trächtler, Ansgar}},
  issn         = {{1424-8220}},
  journal      = {{Sensors}},
  number       = {{22}},
  title        = {{{Novel Straightening-Machine Design with Integrated Force Measurement for Straightening of High-Strength Flat Wire}}},
  doi          = {{10.3390/s23229091}},
  volume       = {{23}},
  year         = {{2023}},
}

@inproceedings{48570,
  author       = {{Lenz, Cederic and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{2023 IEEE 21st International Conference on Industrial Informatics (INDIN)}},
  publisher    = {{IEEE}},
  title        = {{{A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data}}},
  doi          = {{10.1109/indin51400.2023.10218108}},
  year         = {{2023}},
}

@inproceedings{48572,
  abstract     = {{<jats:p>Abstract. To increase the sustainability of forming processes such as punch bending, homogenization of the processed semi-finished product is an essential step in the manufacturing process. High-strength wire materials are usually available as strip material before being further processed in a forming process. For storage and transport, the material is coiled onto coils and transported to the customer. During the coiling process, residual stresses and plastic deformation are introduced into the wire. Thus, the final product quality is also influenced by the geometry of the coil. Straightening machines are used in production lines to compensate for these. Once a straightening machine has been set up, the settings for the roll positions are usually not changed. As a result, there is no reaction to material fluctuations, which means that the components to be produced do not meet the dimensional accuracy requirements. This leads to an increase in the rejection rate in manufacturing processes. To reduce the rejection rate, it is necessary to enable dynamic and flexible infeed of the straightening rollers. In this context, an innovative control concept with disturbance compensation was developed for the straightening process. The disturbance compensation uses a disturbance model that predicts the change in bending curvature over the coil radius. With this prediction, the straightening machine can be adjusted specifically. The roller positions are adjusted by a subordinate position control. The additional feedback from measured geometric product properties from the following punching-bending process enables the straightening machine to be adjusted even in the case of unforeseen fluctuations in the material properties. In this way, it is possible to react to any material fluctuations as required. This novel, demand-oriented adjustment of the straightening machine is expected to result in a high increase in the efficiency of the production process and a reduction of the rejection rate. </jats:p>}},
  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 self-learning disturbance compensation for straightening processes}}},
  doi          = {{10.21741/9781644902479-216}},
  year         = {{2023}},
}

@inproceedings{48001,
  author       = {{Bathelt, Lukas and Djakow, Eugen and Dahms, Frederik and Henke, Christian and Trächtler, Ansgar and Homberg, Werner}},
  booktitle    = {{Ilmenauer Federntag 2023: Neueste Erkenntnisse zu Funktion, Berechnung, Prüfung und Gestaltung von Federn und Werkstoffen}},
  isbn         = {{978-3-948595-09-8}},
  location     = {{Ilmenau}},
  publisher    = {{ISLE Steuerungstechnik und Leistungselektronik}},
  title        = {{{Neuartiger Ansatz zum Richten von zwei- und dreidimensionalen Fehlern an einem Federdraht}}},
  year         = {{2023}},
}

@inproceedings{48571,
  author       = {{Koppert, Steven and Bause, Maximilian and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{2023 IEEE 21st International Conference on Industrial Informatics (INDIN)}},
  publisher    = {{IEEE}},
  title        = {{{Learning the Automated Setup of Profile Wrapping Lines for New Products from Few Past Setups}}},
  doi          = {{10.1109/indin51400.2023.10217972}},
  year         = {{2023}},
}

@article{49439,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The use of static analysis security testing (SAST) tools has been increasing in recent years. However, previous studies have shown that, when shipped to end users such as development or security teams, the findings of these tools are often unsatisfying. Users report high numbers of false positives or long analysis times, making the tools unusable in the daily workflow. To address this, SAST tool creators provide a wide range of configuration options, such as customization of rules through domain-specific languages or specification of the application-specific analysis scope. In this paper, we study the configuration space of selected existing SAST tools when used within the integrated development environment (IDE). We focus on the configuration options that impact three dimensions, for which a trade-off is unavoidable, i.e., precision, recall, and analysis runtime. We perform a between-subjects user study with 40 users from multiple development and security teams - to our knowledge, the largest population for this kind of user study in the software engineering community. The results show that users who configure SAST tools are more effective in resolving security vulnerabilities detected by the tools than those using the default configuration. Based on post-study interviews, we identify common strategies that users have while configuring the SAST tools to provide further insights for tool creators. Finally, an evaluation of the configuration options of two commercial SAST tools, <jats:sc>Fortify</jats:sc> and <jats:sc>CheckMarx</jats:sc>, reveals that a quarter of the users do not understand the configuration options provided. The configuration options that are found most useful relate to the analysis scope.</jats:p>}},
  author       = {{Piskachev, Goran and Becker, Matthias and Bodden, Eric}},
  issn         = {{1382-3256}},
  journal      = {{Empirical Software Engineering}},
  keywords     = {{Software}},
  number       = {{5}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Can the configuration of static analyses make resolving security vulnerabilities more effective? - A user study}}},
  doi          = {{10.1007/s10664-023-10354-3}},
  volume       = {{28}},
  year         = {{2023}},
}

@inproceedings{49560,
  author       = {{Stieren, Stephan and Wichtrup, Moritz and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{NEIS - Conference on Sustainable Energy Supply and Energy Storage Systems}},
  location     = {{Hamburg}},
  title        = {{{Concept for a cloud-based holistic energy management of domestic appliances to stabilize the energy supply and the power grid}}},
  year         = {{2023}},
}

@inproceedings{44314,
  abstract     = {{<jats:p>Abstract. Workpiece property-control permits the application-oriented and time-efficient production of components. In reverse flow forming, for example, a control of the microstructure profile is not yet part of the state of the art, in contrast to the geometry control. This is, due to several reasons, particularly challenging when forming seamless tubes made of metastable austenitic stainless AISI 304L steel. Inducing mechanical and/or thermal energy can cause a phase transformation from austenite to martensite within this steel. The resulting α’-martensite has different mechanical and micromagnetic properties, which can be advantageous depending on the application. For purposes of local property control, the resulting α’-martensite content should be measured and controlled online during the forming process. This paper presents results from the usage of a custom developed cryo-system and different application strategies to use liquid nitrogen as a coolant for local enhancement of the forming-temperature depending α’-martensite content. </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}},
  issn         = {{2474-395X}},
  publisher    = {{Materials Research Forum LLC}},
  title        = {{{Cryogenic reverse flow forming of AISI 304L}}},
  doi          = {{10.21741/9781644902479-219}},
  year         = {{2023}},
}

@article{48075,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The constantly increasing challenges of production technology for the economic and resource-saving production of metallic workpieces require, among other things, the optimisation of existing processes. Forming technology, which is confronted with new challenges regarding the quality of the workpieces, must also organise the individual processes more efficiently and at the same time more reliably in order to be able to guarantee good workpiece quality and at the same time to be able to produce economically. One way to meet these challenges is to carry out the forming processes in closed-loop control systems using softsensors. Despite the many potential applications of softsensors in the field of forming technology, there is still no definition of the term softsensor. This publication therefore proposes a definition of the softsensor based on the definition of a sensor and the distinction from the observer, which on the one hand is intended to stimulate scientific discourse and on the other hand is also intended to form the basis for further scientific work. Based on this definition, a wide variety of highly topical application examples of various softsensors in the field of forming technology are given.</jats:p>}},
  author       = {{Homberg, Werner and Arian, Bahman and Arne, Viktor and Borgert, Thomas and Brosius, Alexander and Groche, Peter and Hartmann, Christoph and Kersting, Lukas and Laue, Robert and Martschin, Juri and Meurer, Thomas and Spies, Daniel and Tekkaya, A. Erman and Trächtler, Ansgar and Volk, Wolfram and Wendler, Frank and Wrobel, Malte}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Softsensors: key component of property control in forming technology}}},
  doi          = {{10.1007/s11740-023-01227-1}},
  year         = {{2023}},
}

@inbook{54672,
  author       = {{Schmelter, David and Steghöfer, Jan-Philipp and Albers, Karsten and Ekman, Mats and Tessmer, Jörg and Weber, Raphael}},
  booktitle    = {{Communications in Computer and Information Science}},
  isbn         = {{9783031423062}},
  issn         = {{1865-0929}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Trustful Model-Based Information Exchange in Collaborative Engineering}}},
  doi          = {{10.1007/978-3-031-42307-9_12}},
  year         = {{2023}},
}

@inproceedings{43395,
  author       = {{Trentinaglia, Roman and Merschjohann, Sven and Fockel, Markus and Eikerling, Hendrik}},
  booktitle    = {{REFSQ 2023: Requirements Engineering: Foundation for Software Quality}},
  isbn         = {{9783031297854}},
  issn         = {{0302-9743}},
  publisher    = {{Springer Nature Switzerland}},
  title        = {{{Eliciting Security Requirements – An Experience Report}}},
  doi          = {{10.1007/978-3-031-29786-1_25}},
  year         = {{2023}},
}

@inproceedings{45793,
  abstract     = {{The global megatrends of digitization and sustainability lead to new challenges for the design and management of technical products in industrial companies. Product management - as the bridge between market and company - has the task to absorb and combine the manifold requirements and make the right product-related decisions. In the process, product management is confronted with heterogeneous information, rapidly changing portfolio components, as well as increasing product, and organizational complexity. Combining and utilizing data from different sources, e.g., product usage data and social media data leads to promising potentials to improve the quality of product-related decisions. In this paper, we reinforce the need for data-driven product management as an interdisciplinary field of action. The state of data-driven product management in practice was analyzed by conducting workshops with six manufacturing companies and hosting a focus group meeting with experts from different industries. We investigate the expectations and derive requirements leading us to open research questions, a vision for data-driven product management, and a research agenda to shape future research efforts.}},
  author       = {{Grigoryan, Khoren and Fichtler, Timm and Schreiner, Nick and Rabe, Martin and Panzner, Melina and Kühn, Arno and Dumitrescu, Roman and Koldewey, Christian}},
  booktitle    = {{Procedia CIRP 33}},
  keywords     = {{Product Management, Data Analytics, Data-Driven Design, Product-related data, Lifecycle Data, Tool-support}},
  location     = {{Sydney}},
  title        = {{{Data-Driven Product Management: A Practitioner-Driven Research Agenda}}},
  year         = {{2023}},
}

@article{44312,
  abstract     = {{<jats:title>Zusammenfassung</jats:title>
               <jats:p>Aufgrund aktueller Transformationsprozesse kommt der automatisierten und ressourceneffizienten Fertigung hochfester Leichtbauteile eine steigende Bedeutung zu, beispielsweise im Flugzeug- und Fahrzeugbau. Für kleine Losgrößen bietet sich hier insbesondere das Fertigungsverfahren des Drückwalzens an. Der konventionelle, industriell genutzte Drückwalzprozess stößt allerdings aufgrund der Prozesskomplexität hinsichtlich der Reproduzierbarkeit an seine Grenzen. Dies wird in der Praxis teilweise durch personengebundenes Erfahrungswissen kompensiert. Auch ist es nicht möglich, Bauteileigenschaften definiert einzustellen. Aus diesem Grund bietet der Einsatz einer neuartigen Eigenschaftsregelung Chancen zur Weiterentwicklung des Fertigungsprozesses und die Möglichkeit zur Prozessautomatisierung. Hier werden die Werkzeugbahnen abhängig einer Online-Eigenschaftsmessung über eine zusätzliche Reglerkaskade manipuliert. Die Entwicklung einer solchen Eigenschaftsregelung erfordert den Einsatz geeigneter, modellbasierter Entwurfsmethoden. In diesem Beitrag wird daher ein regelungstechnisches Systemmodell für das Drückwalzen metastabiler austenitischer Edelstähle vorgestellt. Das Simulationsmodell weist aufgrund seiner Echtzeitfähigkeit neben dem Einsatz als reines Entwurfsmodell weitere Nutzungsmöglichkeiten z.B. in Beobachtern auf und grenzt sich somit von domänenspezifischen Simulationstools wie der FEM ab.</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}},
  keywords     = {{Electrical and Electronic Engineering, Computer Science Applications, Control and Systems Engineering}},
  number       = {{1}},
  pages        = {{68--81}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Echtzeitfähige Modellierung eines innovativen Drückwalzprozesses für die eigenschaftsgeregelte Bauteilfertigung}}},
  doi          = {{10.1515/auto-2022-0106}},
  volume       = {{71}},
  year         = {{2023}},
}

@inproceedings{44315,
  abstract     = {{<jats:p>Abstract. Climate change, rare resources and industrial transformation processes lead to a rising demand of multi-complex lightweight forming parts, especially in aerospace and automotive sectors. In these industries, flow forming is often used to produce cylindrical forming parts by reducing the wall thickness of tubular semifinished parts, e.g. for the production of hydraulic cylinders or gear shafts. The complexity and functionality of flow forming workpieces could be significantly increased by locally graded microstructure and geometry structures. This enables customized complex hardness distributions at wear surfaces or magnetic QR codes for a unique, tamper-proof product identification. The production of those complex, 2D (axial and angular) graded forming parts currently depicts a great challenge for the process and requires new solutions and strategies. Hence, this paper proposes a novel control strategy that includes online measurements from an absolute encoder to determine the angular workpiece position. Workpieces of AISI 304L stainless steel with 2D-graded structures are successfully manufactured using this new strategy and analyzed regarding the possible accuracy and resolution of the gradation. At this point, a dependency of the gradations on the sensor and actuator dynamics, accuracy and geometry could be noted. It is further evaluated how the control strategy could be extended by an observer-based closed-loop property control approach to enhance the accuracy of the suggested strategy. </jats:p>}},
  author       = {{Kersting, Lukas 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        = {{{Control strategy for angular gradations by means of the flow forming process}}},
  doi          = {{10.21741/9781644902479-220}},
  year         = {{2023}},
}

@article{44318,
  author       = {{Rozo Vasquez, Julian and Arian, Bahman and Kersting, Lukas and Walther, Frank and Homberg, Werner and Trächtler, Ansgar}},
  journal      = {{Metals}},
  title        = {{{Detection of phase transformation during plastic deformation of metastable austenitic steel AISI 304L by means of X-ray diffraction pattern analysis}}},
  year         = {{2023}},
}