@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}},
}

@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}},
}

@inproceedings{44390,
  abstract     = {{The development of autonomous vehicles and their introduction in urban traffic offer many opportunities for traffic improvements. In this paper, an approach for a future traffic control system for mixed autonomy traffic environments is presented. Furthermore, a simulation framework based on the city of Paderborn is introduced to enable the development and examination of such a system. This encompasses multiple elements including the road network itself, traffic lights, sensors as well as methods to analyse the topology of the network. Furthermore, a procedure for traffic demand generation and routing is presented based on statistical data of the city and traffic data obtained by measurements. The resulting model can receive and apply the generated control inputs and in turn generates simulated sensor data for the control system based on the current system state.}},
  author       = {{Link, Christopher and Malena, Kevin and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems}},
  isbn         = {{978-989-758-652-1}},
  keywords     = {{Traffic Simulation, Traffic Control, Car2X, Mixed Autonomy, Autonomous Vehicles, SUMO, Sensor Simulation, Traffic Demand Generation, Routing, Traffic Lights, Graph Analysis, Traffic Observer}},
  location     = {{Prague, Czech Republic}},
  publisher    = {{SCITEPRESS - Science and Technology Publications}},
  title        = {{{Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios}}},
  doi          = {{10.5220/0011987600003479}},
  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}},
}

@misc{56827,
  abstract     = {{Zusammenfassung: Die Erfindung betrifft ein Verkehrsleitsystem für die Steuerung von Lichtsignalanlagen aufweisend:
• Eingänge für Verkehrszustandsermittlungsverfahren abhängig von verschiedenen Sensoren, wobei die Sensoren einen aktuellen Verkehrszustand eines zugeordneten Verkehrsabschnitts ermitteln,
• Statusregister, die den aktuellen Status der gesteuerten Lichtsignalanlagen speichern,
• Phasenregister, die alle möglichen Verkehrsleitphasen, die durch die Lichtsignalanlagen angesteuert werden können, speichern,
• eine Fuzzy-Logik (F) zur Vorselektion von möglichen Verkehrsleitphasen basierend auf einem aktuellen Verkehrszustand, wobei für jede mögliche Verkehrsleitphase basierend auf dem aktuellen Verkehrszustand ein Prioritätswert ermittelt wird, wobei für die weitere Verarbeitung nur eine vorbestimmte Anzahl von vorselektierten nachfolgenden Verkehrsleitphasen anhand der Priorität ausgewählt wird,
• wobei die so vorausgewählten Verkehrsleitphasen einer modellprädiktiven Regelung mit einer Verkehrsprädiktionssimulation (MPC) zugeführt werden, wobei die Regelung basierend auf den Phasenfolgen (gebildet aus den vorselektierten Verkehrsleitphasen), dem aktuellen Verkehrszustand und dem aktuellen Status der gesteuerten Lichtsignalanlagen eine geeignete prädiktive zeitliche Phasensteuerung ermittelt, wobei die Schaltzeitpunkte der Phasenfolgen durch ein Optimierungsverfahren berechnet werden,
• wobei die so ermittelte prädiktive zeitliche Phasensteuerung keine, eine oder mehrere zu schaltenden Folgephasen mit den ermittelten Schaltzeitpunkten aufweist,
• wobei anhand der Bewertungen der einzelnen prädiktiven zeitlichen Phasensteuerungen ermittelt wird, welche der prädiktiven zeitlichen Phasensteuerungen zur weiteren Steuerung der Lichtsignalanlagen ausgewählt und verwendet wird.}},
  author       = {{Malena, Kevin and Link, Christopher and Gausemeier, Sandra and Trächtler, Ansgar}},
  title        = {{{Vorrichtung und Verfahren zur echtzeit-basierten dynamischen Verkehrszuordnung für zumindest zwei nachfolgende Fahrbahnen}}},
  year         = {{2023}},
}

@inproceedings{48476,
  author       = {{Hesse, Michael and Timmermann, Julia and Trächtler, Ansgar}},
  booktitle    = {{2023 European Control Conference (ECC)}},
  publisher    = {{IEEE}},
  title        = {{{Hybrid Optimal Control for Dynamical Systems using Gaussian Process Regression and Unscented Transform<sup>*</sup>}}},
  doi          = {{10.23919/ecc57647.2023.10178368}},
  year         = {{2023}},
}

@article{50070,
  author       = {{Junker, Annika and Pape, Keno Egon Friedrich and Timmermann, Julia and Trächtler, Ansgar}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  keywords     = {{General Medicine}},
  number       = {{3}},
  pages        = {{625--630}},
  publisher    = {{Elsevier BV}},
  title        = {{{Adaptive Koopman-Based Models for Holistic Controller and Observer Design}}},
  doi          = {{10.1016/j.ifacol.2023.12.094}},
  volume       = {{56}},
  year         = {{2023}},
}

@inproceedings{42238,
  author       = {{Junker, Annika and Fittkau, Niklas and Timmermann, Julia and Trächtler, Ansgar}},
  booktitle    = {{2022 Sixth IEEE International Conference on Robotic Computing (IRC)}},
  location     = {{Naples, Italy}},
  publisher    = {{IEEE}},
  title        = {{{Autonomous Golf Putting with Data-Driven and Physics-Based Methods}}},
  doi          = {{10.1109/irc55401.2022.00031}},
  year         = {{2023}},
}

@inproceedings{34001,
  author       = {{Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler, Ansgar and Rozo Vasquez, Julian}},
  booktitle    = {{36. Aachener Stahlkolloquium – Umformtechnik “Ideen Form geben“}},
  isbn         = {{978-3-95886-460-3}},
  pages        = {{333--347}},
  title        = {{{Produktkennzeichnung durch lokal definierte Einstellung von ferromagnetischen Eigenschaften beim Drückwalzen von metastabilen Stahlwerkstoffen}}},
  year         = {{2022}},
}

@inproceedings{34003,
  author       = {{Arian, Bahman and Oesterwinter, Annika and Homberg, Werner and Rozo Vasquez, Julian and Walther, Frank and Kersting, Lukas and Trächtler, Ansgar}},
  booktitle    = {{19th Int. Conference on Metal Forming 2022}},
  title        = {{{A flow forming process model to predict workpiece properties in AISI 304L}}},
  year         = {{2022}},
}

@inproceedings{33981,
  author       = {{Ehlert, Meik and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications}},
  publisher    = {{SCITEPRESS - Science and Technology Publications}},
  title        = {{{Analysis of Differential Algebraic Equation Systems for Connecting Energy Storages of Generally Valid Functional Mock-up Units}}},
  doi          = {{10.5220/0011305700003274}},
  year         = {{2022}},
}

@inproceedings{30263,
  abstract     = {{High-strength wire materials are usually available as strip material which is further processed in a forming process (e.g. punch-bending). For storage and transport of the semi-finished wire to the customer, the material is wound onto coils. The manufacturing and coiling process introduces plastic deformations into the wire, which lead to undesirable residual stresses and wire curvature of the semi-finished product. These residual stresses and curvatures cause variations in the material properties of the semi-finished product, which have a negative impact on the subsequent product quality. Straightening machines are used to compensate the residual stresses and the curvature in the wire. At the beginning of the straightening process, the straightening machines must be set up in such a way that residual stresses and curvatures are optimally compensated. This setup process is usually a manual and iterative process, where a lot of material is wasted until the optimal settings for the straightening machine are found.In order to reduce the amount of material waste, the operator must be supported in the setup process. In this context, a new and innovative setup assistance system was developed to support the operator during the setup process. The setup assistant system automatically detects the wire curvature by means of an optical measuring system. Based on the optically detected measuring points, the wire curvature is determined by a robust calculation algorithm. Based on a database built up through the carried out experimental and numerical research work, the optimum setting parameters for the straightening machine are suggested to the operator without lengthy trial and error. After confirmation by the operator, the roller settings are automatically adjusted by the mechatronic straightening machine. With the presented method, the conventional iterative setup procedure can be made more resource-efficient and a high straightening quality can be reproducibly achieved. }},
  author       = {{Bathelt, Lukas and Bader, Fabian and Djakow, Eugen and Henke, Christian and Trächtler, Ansgar and Homberg, Werner}},
  location     = {{Braga / Portugal}},
  title        = {{{Innovative assistance system for setting up a mechatronic straightening machine}}},
  doi          = {{https://doi.org/10.4028/p-vs07w9}},
  year         = {{2022}},
}

@inproceedings{30265,
  abstract     = {{Due to increasing globalization and rising quality requirements, the steel and metal processing industry is facing growing cost and innovation pressure. Not least because of their high lightweight potential, high-strength steel materials are meeting the growing material requirements of steel and metal processing in areas such as aerospace and medical technology. In particular, the tight tolerance limits of applicable shape and dimensional accuracies pose a challenge in the processing of high-strength steel strip materials. Improving the processability of high-strength steel materials through the use of straighteners with set-up assistance systems significantly increases the potential for competing with other materials such as aluminum or magnesium alloys. }},
  author       = {{Bader, Fabian and Bathelt, Lukas and Djakow, Eugen and Henke, Christian and Homberg, Werner and Trächtler, Ansgar}},
  location     = {{Braga / Portugal}},
  title        = {{{An approach for an innovative 3d steel strip straightening machine for curvature and saber compensation}}},
  doi          = {{https://doi.org/10.4028/p-87wvu0}},
  year         = {{2022}},
}

@article{33982,
  author       = {{Koppert, Steven and Henke, Christian and Trächtler, Ansgar and Möhringer, Stefan}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  keywords     = {{Control and Systems Engineering}},
  number       = {{2}},
  pages        = {{554--560}},
  publisher    = {{Elsevier BV}},
  title        = {{{Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data}}},
  doi          = {{10.1016/j.ifacol.2022.04.252}},
  volume       = {{55}},
  year         = {{2022}},
}