[{"page":"554-560","publisher":"Elsevier BV","_id":"33982","user_id":"552","volume":55,"status":"public","citation":{"chicago":"Koppert, Steven, Christian Henke, Ansgar Trächtler, and Stefan Möhringer. “Tool Wear Monitoring of a Tree Log Bandsaw Using a Deep Convolutional Neural Network on Challenging Data.” <i>IFAC-PapersOnLine</i> 55, no. 2 (2022): 554–60. <a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">https://doi.org/10.1016/j.ifacol.2022.04.252</a>.","short":"S. Koppert, C. Henke, A. Trächtler, S. Möhringer, IFAC-PapersOnLine 55 (2022) 554–560.","ieee":"S. Koppert, C. Henke, A. Trächtler, and S. Möhringer, “Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data,” <i>IFAC-PapersOnLine</i>, vol. 55, no. 2, pp. 554–560, 2022, doi: <a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">10.1016/j.ifacol.2022.04.252</a>.","apa":"Koppert, S., Henke, C., Trächtler, A., &#38; Möhringer, S. (2022). Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data. <i>IFAC-PapersOnLine</i>, <i>55</i>(2), 554–560. <a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">https://doi.org/10.1016/j.ifacol.2022.04.252</a>","bibtex":"@article{Koppert_Henke_Trächtler_Möhringer_2022, title={Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data}, volume={55}, DOI={<a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">10.1016/j.ifacol.2022.04.252</a>}, number={2}, journal={IFAC-PapersOnLine}, publisher={Elsevier BV}, author={Koppert, Steven and Henke, Christian and Trächtler, Ansgar and Möhringer, Stefan}, year={2022}, pages={554–560} }","ama":"Koppert S, Henke C, Trächtler A, Möhringer S. Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data. <i>IFAC-PapersOnLine</i>. 2022;55(2):554-560. doi:<a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">10.1016/j.ifacol.2022.04.252</a>","mla":"Koppert, Steven, et al. “Tool Wear Monitoring of a Tree Log Bandsaw Using a Deep Convolutional Neural Network on Challenging Data.” <i>IFAC-PapersOnLine</i>, vol. 55, no. 2, Elsevier BV, 2022, pp. 554–60, doi:<a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">10.1016/j.ifacol.2022.04.252</a>."},"quality_controlled":"1","language":[{"iso":"eng"}],"doi":"10.1016/j.ifacol.2022.04.252","title":"Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data","year":"2022","publication_identifier":{"issn":["2405-8963"]},"author":[{"full_name":"Koppert, Steven","first_name":"Steven","last_name":"Koppert"},{"full_name":"Henke, Christian","first_name":"Christian","last_name":"Henke"},{"id":"552","full_name":"Trächtler, Ansgar","last_name":"Trächtler","first_name":"Ansgar"},{"last_name":"Möhringer","first_name":"Stefan","full_name":"Möhringer, Stefan"}],"publication_status":"published","date_updated":"2023-04-27T12:04:32Z","intvolume":"        55","date_created":"2022-11-02T17:19:30Z","type":"journal_article","keyword":["Control and Systems Engineering"],"department":[{"_id":"153"},{"_id":"241"}],"publication":"IFAC-PapersOnLine","issue":"2"},{"page":"19-24","language":[{"iso":"eng"}],"_id":"33978","user_id":"552","status":"public","title":"Mechatronische Richtapparate: Intelligente Richttechnik von hochfesten Flachdrähten","year":"2022","conference":{"start_date":"2022-03-23","name":"Fachtagung VDI MECHATRONIK 2022","location":"Darmstadt","end_date":"2022-03-24"},"author":[{"last_name":"Bathelt","first_name":"Lukas","full_name":"Bathelt, Lukas"},{"last_name":"Bader","first_name":"Fabian","full_name":"Bader, Fabian","id":"65204"},{"id":"7904","full_name":"Djakow, Eugen","last_name":"Djakow","first_name":"Eugen"},{"full_name":"Henke, Christian","first_name":"Christian","last_name":"Henke"},{"full_name":"Trächtler, Ansgar","first_name":"Ansgar","last_name":"Trächtler","id":"552"},{"full_name":"Homberg, Werner","first_name":"Werner","last_name":"Homberg"}],"date_updated":"2023-04-27T12:07:25Z","place":"Darmstadt","date_created":"2022-11-02T16:51:32Z","type":"conference","department":[{"_id":"153"},{"_id":"241"},{"_id":"153"}],"publication":"Fachtagung VDI MECHATRONIK 2022 ","citation":{"bibtex":"@inproceedings{Bathelt_Bader_Djakow_Henke_Trächtler_Homberg_2022, place={Darmstadt}, title={Mechatronische Richtapparate: Intelligente Richttechnik von hochfesten Flachdrähten}, booktitle={Fachtagung VDI MECHATRONIK 2022 }, author={Bathelt, Lukas and Bader, Fabian and Djakow, Eugen and Henke, Christian and Trächtler, Ansgar and Homberg, Werner}, year={2022}, pages={19–24} }","ama":"Bathelt L, Bader F, Djakow E, Henke C, Trächtler A, Homberg W. Mechatronische Richtapparate: Intelligente Richttechnik von hochfesten Flachdrähten. In: <i>Fachtagung VDI MECHATRONIK 2022 </i>. ; 2022:19-24.","mla":"Bathelt, Lukas, et al. “Mechatronische Richtapparate: Intelligente Richttechnik von Hochfesten Flachdrähten.” <i>Fachtagung VDI MECHATRONIK 2022 </i>, 2022, pp. 19–24.","chicago":"Bathelt, Lukas, Fabian Bader, Eugen Djakow, Christian Henke, Ansgar Trächtler, and Werner Homberg. “Mechatronische Richtapparate: Intelligente Richttechnik von Hochfesten Flachdrähten.” In <i>Fachtagung VDI MECHATRONIK 2022 </i>, 19–24. Darmstadt, 2022.","short":"L. Bathelt, F. Bader, E. Djakow, C. Henke, A. Trächtler, W. Homberg, in: Fachtagung VDI MECHATRONIK 2022 , Darmstadt, 2022, pp. 19–24.","ieee":"L. Bathelt, F. Bader, E. Djakow, C. Henke, A. Trächtler, and W. Homberg, “Mechatronische Richtapparate: Intelligente Richttechnik von hochfesten Flachdrähten,” in <i>Fachtagung VDI MECHATRONIK 2022 </i>, Darmstadt, 2022, pp. 19–24.","apa":"Bathelt, L., Bader, F., Djakow, E., Henke, C., Trächtler, A., &#38; Homberg, W. (2022). Mechatronische Richtapparate: Intelligente Richttechnik von hochfesten Flachdrähten. <i>Fachtagung VDI MECHATRONIK 2022 </i>, 19–24."},"quality_controlled":"1"},{"page":"1-8","publisher":"IEEE","_id":"33469","language":[{"iso":"eng"}],"doi":"10.1109/syscon53536.2022.9773878","user_id":"552","year":"2022","title":"Virtual Commissioning of the Trajectory Tracking Control of a Sensor-Guided, Kinematically Redundant Robotic Welding System on a PLC","status":"public","conference":{"name":"SYSCON2022: The 16th Annual IEEE International Systems Conference","start_date":"2022-04-25","location":"Montreal, QC, Canada","end_date":"2022-05-23"},"author":[{"first_name":"Stefan","last_name":"Schütz","full_name":"Schütz, Stefan"},{"full_name":"Schmidt, Robin","first_name":"Robin","last_name":"Schmidt"},{"last_name":"Henke","first_name":"Christian","full_name":"Henke, Christian"},{"id":"552","last_name":"Trächtler","first_name":"Ansgar","full_name":"Trächtler, Ansgar"}],"date_updated":"2023-04-27T12:08:04Z","publication_status":"published","date_created":"2022-09-22T09:52:10Z","type":"conference","department":[{"_id":"153"},{"_id":"241"}],"publication":"2022 IEEE International Systems Conference (SysCon)","citation":{"ama":"Schütz S, Schmidt R, Henke C, Trächtler A. Virtual Commissioning of the Trajectory Tracking Control of a Sensor-Guided, Kinematically Redundant Robotic Welding System on a PLC. In: <i>2022 IEEE International Systems Conference (SysCon)</i>. IEEE; 2022:1-8. doi:<a href=\"https://doi.org/10.1109/syscon53536.2022.9773878\">10.1109/syscon53536.2022.9773878</a>","bibtex":"@inproceedings{Schütz_Schmidt_Henke_Trächtler_2022, title={Virtual Commissioning of the Trajectory Tracking Control of a Sensor-Guided, Kinematically Redundant Robotic Welding System on a PLC}, DOI={<a href=\"https://doi.org/10.1109/syscon53536.2022.9773878\">10.1109/syscon53536.2022.9773878</a>}, booktitle={2022 IEEE International Systems Conference (SysCon)}, publisher={IEEE}, author={Schütz, Stefan and Schmidt, Robin and Henke, Christian and Trächtler, Ansgar}, year={2022}, pages={1–8} }","mla":"Schütz, Stefan, et al. “Virtual Commissioning of the Trajectory Tracking Control of a Sensor-Guided, Kinematically Redundant Robotic Welding System on a PLC.” <i>2022 IEEE International Systems Conference (SysCon)</i>, IEEE, 2022, pp. 1–8, doi:<a href=\"https://doi.org/10.1109/syscon53536.2022.9773878\">10.1109/syscon53536.2022.9773878</a>.","chicago":"Schütz, Stefan, Robin Schmidt, Christian Henke, and Ansgar Trächtler. “Virtual Commissioning of the Trajectory Tracking Control of a Sensor-Guided, Kinematically Redundant Robotic Welding System on a PLC.” In <i>2022 IEEE International Systems Conference (SysCon)</i>, 1–8. IEEE, 2022. <a href=\"https://doi.org/10.1109/syscon53536.2022.9773878\">https://doi.org/10.1109/syscon53536.2022.9773878</a>.","short":"S. Schütz, R. Schmidt, C. Henke, A. Trächtler, in: 2022 IEEE International Systems Conference (SysCon), IEEE, 2022, pp. 1–8.","apa":"Schütz, S., Schmidt, R., Henke, C., &#38; Trächtler, A. (2022). Virtual Commissioning of the Trajectory Tracking Control of a Sensor-Guided, Kinematically Redundant Robotic Welding System on a PLC. <i>2022 IEEE International Systems Conference (SysCon)</i>, 1–8. <a href=\"https://doi.org/10.1109/syscon53536.2022.9773878\">https://doi.org/10.1109/syscon53536.2022.9773878</a>","ieee":"S. Schütz, R. Schmidt, C. Henke, and A. Trächtler, “Virtual Commissioning of the Trajectory Tracking Control of a Sensor-Guided, Kinematically Redundant Robotic Welding System on a PLC,” in <i>2022 IEEE International Systems Conference (SysCon)</i>, Montreal, QC, Canada, 2022, pp. 1–8, doi: <a href=\"https://doi.org/10.1109/syscon53536.2022.9773878\">10.1109/syscon53536.2022.9773878</a>."},"quality_controlled":"1"},{"date_created":"2022-11-02T16:31:47Z","type":"conference","department":[{"_id":"153"},{"_id":"241"}],"publication":"2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )","citation":{"mla":"Lenz, Cederic, et al. “Anomaly Detection in Hot Forming Processes Using Hybrid Modeling - Part II.” <i>2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )</i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/ETFA52439.2022.9921510\">10.1109/ETFA52439.2022.9921510</a>.","bibtex":"@inproceedings{Lenz_Hanke_Henke_Trächtler_2022, title={Anomaly Detection in Hot Forming Processes using Hybrid Modeling - Part II}, DOI={<a href=\"https://doi.org/10.1109/ETFA52439.2022.9921510\">10.1109/ETFA52439.2022.9921510</a>}, booktitle={2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )}, publisher={IEEE}, author={Lenz, Cederic  and Hanke, Fabian and Henke, Christian and Trächtler, Ansgar}, year={2022} }","ama":"Lenz C, Hanke F, Henke C, Trächtler A. Anomaly Detection in Hot Forming Processes using Hybrid Modeling - Part II. In: <i>2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )</i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/ETFA52439.2022.9921510\">10.1109/ETFA52439.2022.9921510</a>","ieee":"C. Lenz, F. Hanke, C. Henke, and A. Trächtler, “Anomaly Detection in Hot Forming Processes using Hybrid Modeling - Part II,” presented at the 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, Germany , 2022, doi: <a href=\"https://doi.org/10.1109/ETFA52439.2022.9921510\">10.1109/ETFA52439.2022.9921510</a>.","apa":"Lenz, C., Hanke, F., Henke, C., &#38; Trächtler, A. (2022). Anomaly Detection in Hot Forming Processes using Hybrid Modeling - Part II. <i>2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )</i>. 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, Germany . <a href=\"https://doi.org/10.1109/ETFA52439.2022.9921510\">https://doi.org/10.1109/ETFA52439.2022.9921510</a>","short":"C. Lenz, F. Hanke, C. Henke, A. Trächtler, in: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2022.","chicago":"Lenz, Cederic , Fabian Hanke, Christian Henke, and Ansgar Trächtler. “Anomaly Detection in Hot Forming Processes Using Hybrid Modeling - Part II.” In <i>2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )</i>. IEEE, 2022. <a href=\"https://doi.org/10.1109/ETFA52439.2022.9921510\">https://doi.org/10.1109/ETFA52439.2022.9921510</a>."},"quality_controlled":"1","_id":"33976","publisher":"IEEE","language":[{"iso":"eng"}],"doi":"10.1109/ETFA52439.2022.9921510","user_id":"552","title":"Anomaly Detection in Hot Forming Processes using Hybrid Modeling - Part II","year":"2022","status":"public","conference":{"end_date":"2022-09-09","start_date":"2022-09-06","name":"2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)","location":"Stuttgart, Germany "},"author":[{"full_name":"Lenz, Cederic ","last_name":"Lenz","first_name":"Cederic "},{"full_name":"Hanke, Fabian","last_name":"Hanke","first_name":"Fabian"},{"full_name":"Henke, Christian","last_name":"Henke","first_name":"Christian"},{"full_name":"Trächtler, Ansgar","first_name":"Ansgar","last_name":"Trächtler","id":"552"}],"date_updated":"2023-04-27T12:07:44Z","publication_status":"published"},{"quality_controlled":"1","citation":{"short":"J. Rozo Vasquez, H. Kanagarajah, B. Arian, L. Kersting, W. Homberg, A. Trächtler, F. Walther, Practical Metallography 59 (2022) 660–675.","chicago":"Rozo Vasquez, Julian, Hanigah Kanagarajah, Bahman Arian, Lukas Kersting, Werner Homberg, Ansgar Trächtler, and Frank Walther. “Coupled Microscopic and Micromagnetic Depth-Specific Analysis of Plastic Deformation and Phase Transformation of Metastable Austenitic Steel AISI 304L by Flow Forming.” <i>Practical Metallography</i> 59, no. 11 (2022): 660–75. <a href=\"https://doi.org/10.1515/pm-2022-0064\">https://doi.org/10.1515/pm-2022-0064</a>.","apa":"Rozo Vasquez, J., Kanagarajah, H., Arian, B., Kersting, L., Homberg, W., Trächtler, A., &#38; Walther, F. (2022). Coupled microscopic and micromagnetic depth-specific analysis of plastic deformation and phase transformation of metastable austenitic steel AISI 304L by flow forming. <i>Practical Metallography</i>, <i>59</i>(11), 660–675. <a href=\"https://doi.org/10.1515/pm-2022-0064\">https://doi.org/10.1515/pm-2022-0064</a>","ieee":"J. Rozo Vasquez <i>et al.</i>, “Coupled microscopic and micromagnetic depth-specific analysis of plastic deformation and phase transformation of metastable austenitic steel AISI 304L by flow forming,” <i>Practical Metallography</i>, vol. 59, no. 11, pp. 660–675, 2022, doi: <a href=\"https://doi.org/10.1515/pm-2022-0064\">10.1515/pm-2022-0064</a>.","ama":"Rozo Vasquez J, Kanagarajah H, Arian B, et al. Coupled microscopic and micromagnetic depth-specific analysis of plastic deformation and phase transformation of metastable austenitic steel AISI 304L by flow forming. <i>Practical Metallography</i>. 2022;59(11):660-675. doi:<a href=\"https://doi.org/10.1515/pm-2022-0064\">10.1515/pm-2022-0064</a>","bibtex":"@article{Rozo Vasquez_Kanagarajah_Arian_Kersting_Homberg_Trächtler_Walther_2022, title={Coupled microscopic and micromagnetic depth-specific analysis of plastic deformation and phase transformation of metastable austenitic steel AISI 304L by flow forming}, volume={59}, DOI={<a href=\"https://doi.org/10.1515/pm-2022-0064\">10.1515/pm-2022-0064</a>}, number={11}, journal={Practical Metallography}, publisher={Walter de Gruyter GmbH}, author={Rozo Vasquez, Julian and Kanagarajah, Hanigah and Arian, Bahman and Kersting, Lukas and Homberg, Werner and Trächtler, Ansgar and Walther, Frank}, year={2022}, pages={660–675} }","mla":"Rozo Vasquez, Julian, et al. “Coupled Microscopic and Micromagnetic Depth-Specific Analysis of Plastic Deformation and Phase Transformation of Metastable Austenitic Steel AISI 304L by Flow Forming.” <i>Practical Metallography</i>, vol. 59, no. 11, Walter de Gruyter GmbH, 2022, pp. 660–75, doi:<a href=\"https://doi.org/10.1515/pm-2022-0064\">10.1515/pm-2022-0064</a>."},"status":"public","user_id":"36287","volume":59,"page":"660-675","_id":"34000","publisher":"Walter de Gruyter GmbH","abstract":[{"text":"<jats:title>Abstract</jats:title>\r\n               <jats:p>This paper presents the characterization of the microstructure evolution during flow forming of austenitic stainless steel AISI 304L. Due to plastic deformation of metastable austenitic steel, phase transformation from γ-austenite into α’-martensite occurs. This is initiated by the formation of shear bands as product of the external stresses. By means of coupled microscopic and micromagnetic investigations, a characterization of the microstructure was carried out. In particular, this study shows the distribution of the strain-induced α’-martensite and its influence on material properties like hardness at different depths. The microstructural analyses by means of electron backscattered diffraction (EBSD) technique, evidence a higher amount of α’-martensite (ca. 23 %) close to the outer specimen surface, where the plastic deformation and the direct contact with the forming tool take place. In the middle area (ca. 1.5 mm depth from the outer surface), the portion of transformed α’-martensite drops to 7 % and in the inner surface to 2 %. These results are well correlated with microhardness and micromagnetic measurements at different depths. EBSD and atomic force microscopy (AFM) were used to make a detailed characterization of the topography and degree of deformation of the shear bands. Likewise, the mechanisms of nucleation of α’-martensite were discussed. This research contributes to the development of micromagnetic sensors to monitor the evolution of properties during flow forming. This makes them more suitable for closed-loop property control, which offers possibilities for an application-oriented and more efficient production.</jats:p>","lang":"eng"}],"publication":"Practical Metallography","issue":"11","keyword":["Metals and Alloys","Mechanics of Materials","Condensed Matter Physics","Electronic","Optical and Magnetic Materials"],"type":"journal_article","department":[{"_id":"156"},{"_id":"153"},{"_id":"241"}],"date_created":"2022-11-04T08:29:21Z","date_updated":"2023-05-02T08:19:27Z","publication_status":"published","intvolume":"        59","title":"Coupled microscopic and micromagnetic depth-specific analysis of plastic deformation and phase transformation of metastable austenitic steel AISI 304L by flow forming","year":"2022","author":[{"full_name":"Rozo Vasquez, Julian","last_name":"Rozo Vasquez","first_name":"Julian"},{"first_name":"Hanigah","last_name":"Kanagarajah","full_name":"Kanagarajah, Hanigah"},{"first_name":"Bahman","last_name":"Arian","full_name":"Arian, Bahman","id":"36287"},{"last_name":"Kersting","first_name":"Lukas","full_name":"Kersting, Lukas"},{"full_name":"Homberg, Werner","first_name":"Werner","last_name":"Homberg","id":"233"},{"id":"552","first_name":"Ansgar","last_name":"Trächtler","full_name":"Trächtler, Ansgar"},{"full_name":"Walther, Frank","first_name":"Frank","last_name":"Walther"}],"publication_identifier":{"issn":["2195-8599","0032-678X"]},"doi":"10.1515/pm-2022-0064","language":[{"iso":"eng"}]},{"abstract":[{"lang":"eng","text":"<jats:p>The production of complex multi-functional, high-strength parts is becoming increasingly important in the industry. Especially with small batch size, the incremental flow forming processes can be advantageous. The production of parts with complex geometry and locally graded material properties currently depicts a great challenge in the flow forming process. At this point, the usage of closed-loop control for the shape and properties could be a feasible new solution. The overall aim in this project is to establish an intelligent closed-loop control system for the wall thickness as well as the α’-martensite content of AISI 304L-workpieces in a flow forming process. To reach this goal, a novel sensor concept for online measurements of the wall thickness reduction and the martensite content during forming process is proposed. It includes the setup of a modified flow forming machine and the integration of the sensor system in the machine control. Additionally, a simulation model for the flow forming process is presented which describes the forming process with regard to the plastic workpiece deformation, the induced α’-martensite fraction, and the sensor behavior. This model was used for designing a closed-loop process control of the wall thickness reduction that was subsequently realized at the real plant including online measured feedback from the sensor system.</jats:p>"}],"publication":"Key Engineering Materials","department":[{"_id":"156"},{"_id":"153"},{"_id":"241"}],"keyword":["Mechanical Engineering","Mechanics of Materials","General Materials Science"],"type":"journal_article","date_created":"2022-11-04T08:27:33Z","intvolume":"       926","publication_status":"published","date_updated":"2023-05-02T08:19:13Z","publication_identifier":{"issn":["1662-9795"]},"author":[{"full_name":"Kersting, Lukas","first_name":"Lukas","last_name":"Kersting"},{"last_name":"Arian","first_name":"Bahman","full_name":"Arian, Bahman","id":"36287"},{"full_name":"Vasquez, Julian Rozo","first_name":"Julian Rozo","last_name":"Vasquez"},{"id":"552","first_name":"Ansgar","last_name":"Trächtler","full_name":"Trächtler, Ansgar"},{"id":"233","last_name":"Homberg","first_name":"Werner","full_name":"Homberg, Werner"},{"last_name":"Walther","first_name":"Frank","full_name":"Walther, Frank"}],"year":"2022","title":"Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes","doi":"10.4028/p-yp2hj3","language":[{"iso":"eng"}],"quality_controlled":"1","citation":{"short":"L. Kersting, B. Arian, J.R. Vasquez, A. Trächtler, W. Homberg, F. Walther, Key Engineering Materials 926 (2022) 862–874.","chicago":"Kersting, Lukas, Bahman Arian, Julian Rozo Vasquez, Ansgar Trächtler, Werner Homberg, and Frank Walther. “Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes.” <i>Key Engineering Materials</i> 926 (2022): 862–74. <a href=\"https://doi.org/10.4028/p-yp2hj3\">https://doi.org/10.4028/p-yp2hj3</a>.","apa":"Kersting, L., Arian, B., Vasquez, J. R., Trächtler, A., Homberg, W., &#38; Walther, F. (2022). Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes. <i>Key Engineering Materials</i>, <i>926</i>, 862–874. <a href=\"https://doi.org/10.4028/p-yp2hj3\">https://doi.org/10.4028/p-yp2hj3</a>","ieee":"L. Kersting, B. Arian, J. R. Vasquez, A. Trächtler, W. Homberg, and F. Walther, “Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes,” <i>Key Engineering Materials</i>, vol. 926, pp. 862–874, 2022, doi: <a href=\"https://doi.org/10.4028/p-yp2hj3\">10.4028/p-yp2hj3</a>.","ama":"Kersting L, Arian B, Vasquez JR, Trächtler A, Homberg W, Walther F. Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes. <i>Key Engineering Materials</i>. 2022;926:862-874. doi:<a href=\"https://doi.org/10.4028/p-yp2hj3\">10.4028/p-yp2hj3</a>","bibtex":"@article{Kersting_Arian_Vasquez_Trächtler_Homberg_Walther_2022, title={Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes}, volume={926}, DOI={<a href=\"https://doi.org/10.4028/p-yp2hj3\">10.4028/p-yp2hj3</a>}, journal={Key Engineering Materials}, publisher={Trans Tech Publications, Ltd.}, author={Kersting, Lukas and Arian, Bahman and Vasquez, Julian Rozo and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}, year={2022}, pages={862–874} }","mla":"Kersting, Lukas, et al. “Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes.” <i>Key Engineering Materials</i>, vol. 926, Trans Tech Publications, Ltd., 2022, pp. 862–74, doi:<a href=\"https://doi.org/10.4028/p-yp2hj3\">10.4028/p-yp2hj3</a>."},"status":"public","volume":926,"user_id":"36287","publisher":"Trans Tech Publications, Ltd.","_id":"33999","page":"862-874"},{"user_id":"552","_id":"47417","publisher":"VDE-Verlag","language":[{"iso":"ger"}],"edition":"13","date_updated":"2023-09-25T13:52:53Z","author":[{"first_name":"Otto","last_name":"Föllinger","full_name":"Föllinger, Otto"},{"first_name":"Ulrich","last_name":"Konigorski","full_name":"Konigorski, Ulrich"},{"full_name":"Lohmann, Boris","last_name":"Lohmann","first_name":"Boris"},{"full_name":"Roppenecker, Günter","last_name":"Roppenecker","first_name":"Günter"},{"id":"552","full_name":"Trächtler, Ansgar","first_name":"Ansgar","last_name":"Trächtler"}],"title":"Regelungstechnik. Einführung in die Methoden und ihre Anwendung","year":"2022","status":"public","department":[{"_id":"153"},{"_id":"241"}],"type":"book","date_created":"2023-09-25T11:40:00Z","place":"Berlin","citation":{"short":"O. Föllinger, U. Konigorski, B. Lohmann, G. Roppenecker, A. Trächtler, Regelungstechnik. Einführung in die Methoden und ihre Anwendung, 13th ed., VDE-Verlag, Berlin, 2022.","chicago":"Föllinger, Otto, Ulrich Konigorski, Boris Lohmann, Günter Roppenecker, and Ansgar Trächtler. <i>Regelungstechnik. Einführung in die Methoden und ihre Anwendung</i>. 13th ed. Berlin: VDE-Verlag, 2022.","ieee":"O. Föllinger, U. Konigorski, B. Lohmann, G. Roppenecker, and A. Trächtler, <i>Regelungstechnik. Einführung in die Methoden und ihre Anwendung</i>, 13th ed. Berlin: VDE-Verlag, 2022.","apa":"Föllinger, O., Konigorski, U., Lohmann, B., Roppenecker, G., &#38; Trächtler, A. (2022). <i>Regelungstechnik. Einführung in die Methoden und ihre Anwendung</i> (13th ed.). VDE-Verlag.","bibtex":"@book{Föllinger_Konigorski_Lohmann_Roppenecker_Trächtler_2022, place={Berlin}, edition={13}, title={Regelungstechnik. Einführung in die Methoden und ihre Anwendung}, publisher={VDE-Verlag}, author={Föllinger, Otto and Konigorski, Ulrich and Lohmann, Boris and Roppenecker, Günter and Trächtler, Ansgar}, year={2022} }","ama":"Föllinger O, Konigorski U, Lohmann B, Roppenecker G, Trächtler A. <i>Regelungstechnik. Einführung in die Methoden und ihre Anwendung</i>. 13th ed. VDE-Verlag; 2022.","mla":"Föllinger, Otto, et al. <i>Regelungstechnik. Einführung in die Methoden und ihre Anwendung</i>. 13th ed., VDE-Verlag, 2022."}},{"date_updated":"2024-11-13T08:44:17Z","conference":{"end_date":"2022-02-05","name":"11th International Conference on Pattern Recognition Applications and Methods","start_date":"2022-02-03","location":"Online"},"publication_identifier":{"isbn":["978-989-758-549-4"]},"author":[{"id":"29222","full_name":"Hesse, Michael","last_name":"Hesse","first_name":"Michael"},{"first_name":"Matthias","last_name":"Hunstig","full_name":"Hunstig, Matthias"},{"id":"15402","first_name":"Julia","last_name":"Timmermann","full_name":"Timmermann, Julia"},{"first_name":"Ansgar","last_name":"Trächtler","full_name":"Trächtler, Ansgar","id":"552"}],"status":"public","title":"Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design","year":"2022","user_id":"82875","language":[{"iso":"eng"}],"_id":"29803","page":"383-394","quality_controlled":"1","abstract":[{"text":"Ultrasonic wire bonding is a solid-state joining process used to form electrical interconnections in micro and\r\npower electronics and batteries. A high frequency oscillation causes a metallurgical bond deformation in\r\nthe contact area. Due to the numerous physical influencing factors, it is very difficult to accurately capture\r\nthis process in a model. Therefore, our goal is to determine a suitable feed-forward control strategy for the\r\nbonding process even without detailed model knowledge. We propose the use of batch constrained Bayesian\r\noptimization for the control design. Hence, Bayesian optimization is precisely adapted to the application of\r\nbonding: the constraint is used to check one quality feature of the process and the use of batches leads to\r\nmore efficient experiments. Our approach is suitable to determine a feed-forward control for the bonding\r\nprocess that provides very high quality bonds without using a physical model. We also show that the quality\r\nof the Bayesian optimization based control outperforms random search as well as manual search by a user.\r\nUsing a simple prior knowledge model derived from data further improves the quality of the connection.\r\nThe Bayesian optimization approach offers the possibility to perform a sensitivity analysis of the control\r\nparameters, which allows to evaluate the influence of each control parameter on the bond quality. In summary,\r\nBayesian optimization applied to the bonding process provides an excellent opportunity to develop a feedforward\r\ncontrol without full modeling of the underlying physical processes.","lang":"eng"}],"citation":{"short":"M. Hesse, M. Hunstig, J. Timmermann, A. Trächtler, in: Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2022, pp. 383–394.","chicago":"Hesse, Michael, Matthias Hunstig, Julia Timmermann, and Ansgar Trächtler. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” In <i>Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)</i>, 383–94, 2022.","ieee":"M. Hesse, M. Hunstig, J. Timmermann, and A. Trächtler, “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design,” in <i>Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)</i>, Online, 2022, pp. 383–394.","apa":"Hesse, M., Hunstig, M., Timmermann, J., &#38; Trächtler, A. (2022). Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design. <i>Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)</i>, 383–394.","bibtex":"@inproceedings{Hesse_Hunstig_Timmermann_Trächtler_2022, title={Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design}, booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)}, author={Hesse, Michael and Hunstig, Matthias and Timmermann, Julia and Trächtler, Ansgar}, year={2022}, pages={383–394} }","ama":"Hesse M, Hunstig M, Timmermann J, Trächtler A. Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-forward Control Design. In: <i>Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)</i>. ; 2022:383-394.","mla":"Hesse, Michael, et al. “Batch Constrained Bayesian Optimization for UltrasonicWire Bonding Feed-Forward Control Design.” <i>Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)</i>, 2022, pp. 383–94."},"publication":"Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods (ICPRAM)","department":[{"_id":"153"},{"_id":"880"}],"type":"conference","keyword":["Bayesian optimization","Wire bonding","Feed-forward control","model-free design"],"date_created":"2022-02-09T12:50:25Z"},{"language":[{"iso":"eng"}],"series_title":"Communications in Computer and Information Science","doi":"10.1007/978-3-031-17098-0_12","publication_identifier":{"issn":["1865-0929","1865-0937"],"isbn":["9783031170973","9783031170980"]},"author":[{"id":"36303","first_name":"Kevin","orcid":"0000-0003-1183-4679","last_name":"Malena","full_name":"Malena, Kevin"},{"id":"38249","last_name":"Link","first_name":"Christopher","full_name":"Link, Christopher"},{"full_name":"Bußemas, Leon","last_name":"Bußemas","first_name":"Leon","id":"51118"},{"first_name":"Sandra","last_name":"Gausemeier","full_name":"Gausemeier, Sandra","id":"17793"},{"id":"552","full_name":"Trächtler, Ansgar","last_name":"Trächtler","first_name":"Ansgar"}],"year":"2022","title":"Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments","intvolume":"      1612","publication_status":"published","date_updated":"2026-01-26T08:49:52Z","date_created":"2022-10-20T15:06:39Z","department":[{"_id":"153"}],"type":"book_chapter","keyword":["Traffic control","Traffic estimation","Real-time","MPC","Fuzzy","Isolated intersection","Networked intersection","Sensor fusion"],"publication":"Communications in Computer and Information Science","abstract":[{"text":"Modern traffic control systems are key to cope with current and future traffic challenges. In this paper information obtained from a microscopic traffic estimation using various data sources is used to feed a new developed traffic control approach. The presented method can control a traffic area with multiple traffic light systems (TLS) reacting to individual road users and pedestrians. In contrast to widespread green time extension techniques, this control selects the best phase sequence by analyzing the current traffic state reconstructed in SUMO and its predicted progress. To achieve this, the key aspect of the control strategy is to use Model Predictive Control (MPC). In order to maintain realism for real world applications, among other things, the traffic phase transitions are modelled in detail and integrated within the prediction. For the efficiency, the approach incorporates a fuzzy logic preselection of all phases reducing the computational effort. The evaluation itself is able to be easily adjusted to focus on various objectives like low occupancies, reducing waiting times and emissions, few number of phase transitions etc. determining the best switching times for the selected phases. Exemplary traffic simulations demonstrate the functionality of the MPC-based control and, in addition, some aspects under development like the real-world communication network are also discussed.","lang":"eng"}],"related_material":{"record":[{"id":"24159","relation":"continues","status":"public"}]},"_id":"33849","publisher":"Springer International Publishing","page":"232–254","volume":1612,"editor":[{"full_name":"Klein, Cornel","first_name":"Cornel","last_name":"Klein"},{"full_name":"Jarke, Mathias","first_name":"Mathias","last_name":"Jarke"},{"full_name":"Helfert, Markus","last_name":"Helfert","first_name":"Markus"},{"last_name":"Berns","first_name":"Karsten","full_name":"Berns, Karsten"},{"full_name":"Gusikhin, Oleg","first_name":"Oleg","last_name":"Gusikhin"}],"user_id":"552","status":"public","place":"Cham","citation":{"chicago":"Malena, Kevin, Christopher Link, Leon Bußemas, Sandra Gausemeier, and Ansgar Trächtler. “Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments.” In <i>Communications in Computer and Information Science</i>, edited by Cornel Klein, Mathias Jarke, Markus Helfert, Karsten Berns, and Oleg Gusikhin, 1612:232–254. Communications in Computer and Information Science. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-031-17098-0_12\">https://doi.org/10.1007/978-3-031-17098-0_12</a>.","short":"K. Malena, C. Link, L. Bußemas, S. Gausemeier, A. Trächtler, in: C. Klein, M. Jarke, M. Helfert, K. Berns, O. Gusikhin (Eds.), Communications in Computer and Information Science, Springer International Publishing, Cham, 2022, pp. 232–254.","ama":"Malena K, Link C, Bußemas L, Gausemeier S, Trächtler A. Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments. In: Klein C, Jarke M, Helfert M, Berns K, Gusikhin O, eds. <i>Communications in Computer and Information Science</i>. Vol 1612. Communications in Computer and Information Science. Springer International Publishing; 2022:232–254. doi:<a href=\"https://doi.org/10.1007/978-3-031-17098-0_12\">10.1007/978-3-031-17098-0_12</a>","bibtex":"@inbook{Malena_Link_Bußemas_Gausemeier_Trächtler_2022, place={Cham}, series={Communications in Computer and Information Science}, title={Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments}, volume={1612}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-17098-0_12\">10.1007/978-3-031-17098-0_12</a>}, booktitle={Communications in Computer and Information Science}, publisher={Springer International Publishing}, author={Malena, Kevin and Link, Christopher and Bußemas, Leon and Gausemeier, Sandra and Trächtler, Ansgar}, editor={Klein, Cornel and Jarke, Mathias and Helfert, Markus and Berns, Karsten and Gusikhin, Oleg}, year={2022}, pages={232–254}, collection={Communications in Computer and Information Science} }","mla":"Malena, Kevin, et al. “Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments.” <i>Communications in Computer and Information Science</i>, edited by Cornel Klein et al., vol. 1612, Springer International Publishing, 2022, pp. 232–254, doi:<a href=\"https://doi.org/10.1007/978-3-031-17098-0_12\">10.1007/978-3-031-17098-0_12</a>.","apa":"Malena, K., Link, C., Bußemas, L., Gausemeier, S., &#38; Trächtler, A. (2022). Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments. In C. Klein, M. Jarke, M. Helfert, K. Berns, &#38; O. Gusikhin (Eds.), <i>Communications in Computer and Information Science</i> (Vol. 1612, pp. 232–254). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-17098-0_12\">https://doi.org/10.1007/978-3-031-17098-0_12</a>","ieee":"K. Malena, C. Link, L. Bußemas, S. Gausemeier, and A. Trächtler, “Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments,” in <i>Communications in Computer and Information Science</i>, vol. 1612, C. Klein, M. Jarke, M. Helfert, K. Berns, and O. Gusikhin, Eds. Cham: Springer International Publishing, 2022, pp. 232–254."},"quality_controlled":"1"},{"doi":"10.1109/AIRC56195.2022.9836980","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9836980"}],"language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2026-04-01T05:51:06Z","year":"2022","title":"Data-Driven Models for Control Engineering Applications Using the Koopman Operator","publication_identifier":{"isbn":["978-1-6654-5946-4"]},"author":[{"id":"41470","last_name":"Junker","first_name":"Annika","orcid":"0009-0002-6475-2503","full_name":"Junker, Annika"},{"last_name":"Timmermann","first_name":"Julia","full_name":"Timmermann, Julia","id":"15402"},{"last_name":"Trächtler","first_name":"Ansgar","full_name":"Trächtler, Ansgar","id":"552"}],"keyword":["Koopman Operator","Nonlinear Control","Extended Dynamic Mode Decomposition","Hybrid Modelling"],"type":"conference","department":[{"_id":"153"},{"_id":"880"}],"date_created":"2021-10-18T05:59:07Z","abstract":[{"text":"Within this work, we investigate how data-driven numerical approximation methods of the Koopman operator can be used in practical control engineering applications. We refer to the method Extended Dynamic Mode Decomposition (EDMD), which approximates a nonlinear dynamical system as a linear model. This makes the method ideal for control engineering applications, because a linear system description is often assumed for this purpose. Using academic  examples, we simulatively analyze the prediction performance of the learned EDMD models and show how relevant system properties like stability, controllability, and observability are reflected by the EDMD model, which is a critical requirement for a successful control design process. Subsequently, we present our experimental results on a mechatronic test bench and evaluate the applicability to the control engineering design process. As a result, the investigated methods are suitable as a low-effort alternative for the design steps of model building and adaptation in the classical model-based controller design method.","lang":"eng"}],"publication":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022)","user_id":"41470","page":"1-9","_id":"26389","status":"public","conference":{"end_date":"2022-05-12","location":"Cairo, Egypt","start_date":"2022-05-10","name":"2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022)"},"quality_controlled":"1","project":[{"name":"DART: Datengetriebene Methoden in der Regelungstechnik","_id":"690"}],"citation":{"ieee":"A. Junker, J. Timmermann, and A. Trächtler, “Data-Driven Models for Control Engineering Applications Using the Koopman Operator,” in <i>2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022)</i>, Cairo, Egypt, 2022, pp. 1–9, doi: <a href=\"https://doi.org/10.1109/AIRC56195.2022.9836980\">10.1109/AIRC56195.2022.9836980</a>.","apa":"Junker, A., Timmermann, J., &#38; Trächtler, A. (2022). Data-Driven Models for Control Engineering Applications Using the Koopman Operator. <i>2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022)</i>, 1–9. <a href=\"https://doi.org/10.1109/AIRC56195.2022.9836980\">https://doi.org/10.1109/AIRC56195.2022.9836980</a>","chicago":"Junker, Annika, Julia Timmermann, and Ansgar Trächtler. “Data-Driven Models for Control Engineering Applications Using the Koopman Operator.” In <i>2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022)</i>, 1–9, 2022. <a href=\"https://doi.org/10.1109/AIRC56195.2022.9836980\">https://doi.org/10.1109/AIRC56195.2022.9836980</a>.","short":"A. Junker, J. Timmermann, A. Trächtler, in: 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022), 2022, pp. 1–9.","mla":"Junker, Annika, et al. “Data-Driven Models for Control Engineering Applications Using the Koopman Operator.” <i>2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022)</i>, 2022, pp. 1–9, doi:<a href=\"https://doi.org/10.1109/AIRC56195.2022.9836980\">10.1109/AIRC56195.2022.9836980</a>.","bibtex":"@inproceedings{Junker_Timmermann_Trächtler_2022, title={Data-Driven Models for Control Engineering Applications Using the Koopman Operator}, DOI={<a href=\"https://doi.org/10.1109/AIRC56195.2022.9836980\">10.1109/AIRC56195.2022.9836980</a>}, booktitle={2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022)}, author={Junker, Annika and Timmermann, Julia and Trächtler, Ansgar}, year={2022}, pages={1–9} }","ama":"Junker A, Timmermann J, Trächtler A. Data-Driven Models for Control Engineering Applications Using the Koopman Operator. In: <i>2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022)</i>. ; 2022:1-9. doi:<a href=\"https://doi.org/10.1109/AIRC56195.2022.9836980\">10.1109/AIRC56195.2022.9836980</a>"}},{"title":"Autonomes Putten mittels datengetriebener und physikbasierter Methoden","year":"2022","status":"public","conference":{"end_date":"2022-12-02","name":"32. Workshop Computational Intelligence","start_date":"2022-12-01","location":"Berlin, Germany"},"author":[{"id":"41470","first_name":"Annika","orcid":"0009-0002-6475-2503","last_name":"Junker","full_name":"Junker, Annika"},{"id":"69890","first_name":"Niklas","last_name":"Fittkau","orcid":"0009-0007-1281-4465","full_name":"Fittkau, Niklas"},{"full_name":"Timmermann, Julia","first_name":"Julia","last_name":"Timmermann","id":"15402"},{"last_name":"Trächtler","first_name":"Ansgar","full_name":"Trächtler, Ansgar","id":"552"}],"date_updated":"2026-04-01T05:59:13Z","page":"119-124","main_file_link":[{"url":"https://publikationen.bibliothek.kit.edu/1000151141","open_access":"1"}],"_id":"34011","language":[{"iso":"eng"}],"doi":"10.5445/KSP/1000151141","user_id":"41470","publication":"Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022","citation":{"apa":"Junker, A., Fittkau, N., Timmermann, J., &#38; Trächtler, A. (2022). Autonomes Putten mittels datengetriebener und physikbasierter Methoden. <i>Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022</i>, 119–124. <a href=\"https://doi.org/10.5445/KSP/1000151141\">https://doi.org/10.5445/KSP/1000151141</a>","ieee":"A. Junker, N. Fittkau, J. Timmermann, and A. Trächtler, “Autonomes Putten mittels datengetriebener und physikbasierter Methoden,” in <i>Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022</i>, Berlin, Germany, 2022, pp. 119–124, doi: <a href=\"https://doi.org/10.5445/KSP/1000151141\">10.5445/KSP/1000151141</a>.","chicago":"Junker, Annika, Niklas Fittkau, Julia Timmermann, and Ansgar Trächtler. “Autonomes Putten Mittels Datengetriebener Und Physikbasierter Methoden.” In <i>Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022</i>, 119–24, 2022. <a href=\"https://doi.org/10.5445/KSP/1000151141\">https://doi.org/10.5445/KSP/1000151141</a>.","short":"A. Junker, N. Fittkau, J. Timmermann, A. Trächtler, in: Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022, 2022, pp. 119–124.","mla":"Junker, Annika, et al. “Autonomes Putten Mittels Datengetriebener Und Physikbasierter Methoden.” <i>Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022</i>, 2022, pp. 119–24, doi:<a href=\"https://doi.org/10.5445/KSP/1000151141\">10.5445/KSP/1000151141</a>.","ama":"Junker A, Fittkau N, Timmermann J, Trächtler A. Autonomes Putten mittels datengetriebener und physikbasierter Methoden. In: <i>Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022</i>. ; 2022:119-124. doi:<a href=\"https://doi.org/10.5445/KSP/1000151141\">10.5445/KSP/1000151141</a>","bibtex":"@inproceedings{Junker_Fittkau_Timmermann_Trächtler_2022, title={Autonomes Putten mittels datengetriebener und physikbasierter Methoden}, DOI={<a href=\"https://doi.org/10.5445/KSP/1000151141\">10.5445/KSP/1000151141</a>}, booktitle={Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022}, author={Junker, Annika and Fittkau, Niklas and Timmermann, Julia and Trächtler, Ansgar}, year={2022}, pages={119–124} }"},"quality_controlled":"1","project":[{"name":"DART: Datengetriebene Methoden in der Regelungstechnik","_id":"690"}],"date_created":"2022-11-04T10:08:39Z","type":"conference","oa":"1","department":[{"_id":"153"},{"_id":"880"}]},{"oa":"1","citation":{"ama":"Junker A, Timmermann J, Trächtler A. Learning Data-Driven PCHD Models for Control Engineering Applications*. <i>IFAC-PapersOnLine</i>. 2022;55(12):389-394. doi:<a href=\"https://doi.org/10.1016/j.ifacol.2022.07.343\">10.1016/j.ifacol.2022.07.343</a>","bibtex":"@article{Junker_Timmermann_Trächtler_2022, title={Learning Data-Driven PCHD Models for Control Engineering Applications*}, volume={55}, DOI={<a href=\"https://doi.org/10.1016/j.ifacol.2022.07.343\">10.1016/j.ifacol.2022.07.343</a>}, number={12}, journal={IFAC-PapersOnLine}, publisher={Elsevier BV}, author={Junker, Annika and Timmermann, Julia and Trächtler, Ansgar}, year={2022}, pages={389–394} }","mla":"Junker, Annika, et al. “Learning Data-Driven PCHD Models for Control Engineering Applications*.” <i>IFAC-PapersOnLine</i>, vol. 55, no. 12, Elsevier BV, 2022, pp. 389–94, doi:<a href=\"https://doi.org/10.1016/j.ifacol.2022.07.343\">10.1016/j.ifacol.2022.07.343</a>.","short":"A. Junker, J. Timmermann, A. Trächtler, IFAC-PapersOnLine 55 (2022) 389–394.","chicago":"Junker, Annika, Julia Timmermann, and Ansgar Trächtler. “Learning Data-Driven PCHD Models for Control Engineering Applications*.” <i>IFAC-PapersOnLine</i> 55, no. 12 (2022): 389–94. <a href=\"https://doi.org/10.1016/j.ifacol.2022.07.343\">https://doi.org/10.1016/j.ifacol.2022.07.343</a>.","apa":"Junker, A., Timmermann, J., &#38; Trächtler, A. (2022). Learning Data-Driven PCHD Models for Control Engineering Applications*. <i>IFAC-PapersOnLine</i>, <i>55</i>(12), 389–394. <a href=\"https://doi.org/10.1016/j.ifacol.2022.07.343\">https://doi.org/10.1016/j.ifacol.2022.07.343</a>","ieee":"A. Junker, J. Timmermann, and A. 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Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator. <i>Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)</i>, 1619–1626."},"publication":"Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC)","_id":"23576","language":[{"iso":"eng"}],"page":"1619 - 1626","user_id":"24876","conference":{"location":"Melbourne, Australia","name":"IEEE International Conference on Systems, Man, and Cybernetics (SMC)","start_date":"2021-10-17","end_date":"2021-10-20"},"author":[{"last_name":"Biemelt","first_name":"Patrick","full_name":"Biemelt, Patrick","id":"24876"},{"last_name":"Böhm","first_name":"Sabrina","full_name":"Böhm, Sabrina"},{"last_name":"Gausemeier","first_name":"Sandra","full_name":"Gausemeier, Sandra","id":"17793"},{"last_name":"Trächtler","first_name":"Ansgar","full_name":"Trächtler, Ansgar","id":"552"}],"title":"Subjective Evaluation of Filter- and Optimization-Based Motion Cueing Algorithms for a Hybrid Kinematics Driving Simulator","year":"2021","status":"public","date_updated":"2022-01-06T06:55:57Z"},{"author":[{"last_name":"Schütz","first_name":"Stefan","full_name":"Schütz, Stefan"},{"first_name":"Nikolaus","last_name":"Elsner","full_name":"Elsner, Nikolaus"},{"full_name":"Henke, Christian","first_name":"Christian","last_name":"Henke"},{"id":"552","first_name":"Ansgar","last_name":"Trächtler","full_name":"Trächtler, Ansgar"}],"year":"2021","title":"Kraftsensitive Kalibriermethode für Industrieroboter","status":"public","date_updated":"2022-01-06T06:55:44Z","_id":"22961","language":[{"iso":"eng"}],"user_id":"24876","citation":{"chicago":"Schütz, Stefan, Nikolaus Elsner, Christian Henke, and Ansgar Trächtler. “Kraftsensitive Kalibriermethode Für Industrieroboter.” In <i>Fachtagung VDI MECHATRONIK 2021</i>, 2021.","short":"S. Schütz, N. Elsner, C. Henke, A. Trächtler, in: Fachtagung VDI MECHATRONIK 2021, 2021.","ieee":"S. Schütz, N. Elsner, C. Henke, and A. Trächtler, “Kraftsensitive Kalibriermethode für Industrieroboter,” in <i>Fachtagung VDI MECHATRONIK 2021</i>, 2021.","apa":"Schütz, S., Elsner, N., Henke, C., &#38; Trächtler, A. (2021). Kraftsensitive Kalibriermethode für Industrieroboter. In <i>Fachtagung VDI MECHATRONIK 2021</i>.","bibtex":"@inproceedings{Schütz_Elsner_Henke_Trächtler_2021, title={Kraftsensitive Kalibriermethode für Industrieroboter}, booktitle={Fachtagung VDI MECHATRONIK 2021}, author={Schütz, Stefan and Elsner, Nikolaus and Henke, Christian and Trächtler, Ansgar}, year={2021} }","ama":"Schütz S, Elsner N, Henke C, Trächtler A. Kraftsensitive Kalibriermethode für Industrieroboter. 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Echtzeitfähige Planung optimierter Trajektorien für sensorgeführte, kinematisch redundante Robotersysteme auf einer Industriesteuerung. <i>At-Automatisierungstechnik</i>, <i>69</i>(3), 231–241.","ieee":"S. Schütz, A. T. Rüting, C. Henke, and A. Trächtler, “Echtzeitfähige Planung optimierter Trajektorien für sensorgeführte, kinematisch redundante Robotersysteme auf einer Industriesteuerung,” <i>at-Automatisierungstechnik</i>, vol. 69, no. 3, pp. 231–241, 2021.","ama":"Schütz S, Rüting AT, Henke C, Trächtler A. Echtzeitfähige Planung optimierter Trajektorien für sensorgeführte, kinematisch redundante Robotersysteme auf einer Industriesteuerung. <i>at-Automatisierungstechnik</i>. 2021;69(3):231-241.","bibtex":"@article{Schütz_Rüting_Henke_Trächtler_2021, title={Echtzeitfähige Planung optimierter Trajektorien für sensorgeführte, kinematisch redundante Robotersysteme auf einer Industriesteuerung}, volume={69}, number={3}, journal={at-Automatisierungstechnik}, author={Schütz, Stefan and Rüting, Arne Thorsten and Henke, Christian and Trächtler, Ansgar}, year={2021}, pages={231–241} }","mla":"Schütz, Stefan, et al. “Echtzeitfähige Planung Optimierter Trajektorien Für Sensorgeführte, Kinematisch Redundante Robotersysteme Auf Einer Industriesteuerung.” <i>At-Automatisierungstechnik</i>, vol. 69, no. 3, 2021, pp. 231–41."},"publication":"at-Automatisierungstechnik","issue":"3","_id":"22962","language":[{"iso":"eng"}],"page":"231-241","volume":69,"user_id":"24876","author":[{"full_name":"Schütz, Stefan","last_name":"Schütz","first_name":"Stefan"},{"full_name":"Rüting, Arne Thorsten","first_name":"Arne Thorsten","last_name":"Rüting"},{"full_name":"Henke, Christian","first_name":"Christian","last_name":"Henke"},{"id":"552","full_name":"Trächtler, Ansgar","first_name":"Ansgar","last_name":"Trächtler"}],"status":"public","year":"2021","title":"Echtzeitfähige Planung optimierter Trajektorien für sensorgeführte, kinematisch redundante Robotersysteme auf einer Industriesteuerung","intvolume":"        69","date_updated":"2022-01-06T06:55:44Z"},{"abstract":[{"lang":"eng","text":"The implementation of control systems in metal forming processes improves product quality and productivity. By controlling workpiece properties during the process, beneficial effects caused by forming can be exploited and integrated in the product design. The overall goal of this investigation is to produce tailored tubular parts with a defined locally graded microstructure by means of reverse flow forming. For this purpose, the proposed system aims to control both the desired geometry of the workpiece and additionally the formation of strain-induced α′-martensite content in the metastable austenitic stainless steel AISI 304 L. The paper introduces an overall control scheme, a geometry model for describing the process and changes in the dimensions of the workpiece, as well as a material model for the process-induced formation of martensite, providing equations based on empirical data. Moreover, measurement systems providing a closed feedback loop are presented, including a novel softsensor for in-situ measurements of the martensite content."}],"publication":"Advances in Industrial and Manufacturing Engineering","type":"journal_article","department":[{"_id":"156"},{"_id":"153"},{"_id":"241"}],"date_created":"2021-08-23T13:23:05Z","publication_status":"published","date_updated":"2023-12-15T09:39:21Z","title":"Model approaches for closed-loop property control for flow forming","year":"2021","publication_identifier":{"issn":["2666-9129"]},"author":[{"full_name":"Riepold, Markus","last_name":"Riepold","first_name":"Markus"},{"full_name":"Arian, Bahman","last_name":"Arian","first_name":"Bahman","id":"36287"},{"full_name":"Vasquez, Julian Rozo","last_name":"Vasquez","first_name":"Julian Rozo"},{"id":"233","full_name":"Homberg, Werner","first_name":"Werner","last_name":"Homberg"},{"full_name":"Walther, Frank","first_name":"Frank","last_name":"Walther"},{"first_name":"Ansgar","last_name":"Trächtler","full_name":"Trächtler, Ansgar","id":"552"}],"doi":"10.1016/j.aime.2021.100057","article_number":"100057","main_file_link":[{"open_access":"1"}],"language":[{"iso":"eng"}],"quality_controlled":"1","citation":{"chicago":"Riepold, Markus, Bahman Arian, Julian Rozo Vasquez, Werner Homberg, Frank Walther, and Ansgar Trächtler. “Model Approaches for Closed-Loop Property Control for Flow Forming.” <i>Advances in Industrial and Manufacturing Engineering</i>, 2021. <a href=\"https://doi.org/10.1016/j.aime.2021.100057\">https://doi.org/10.1016/j.aime.2021.100057</a>.","ama":"Riepold M, Arian B, Vasquez JR, Homberg W, Walther F, Trächtler A. Model approaches for closed-loop property control for flow forming. <i>Advances in Industrial and Manufacturing Engineering</i>. Published online 2021. doi:<a href=\"https://doi.org/10.1016/j.aime.2021.100057\">10.1016/j.aime.2021.100057</a>","short":"M. Riepold, B. Arian, J.R. Vasquez, W. Homberg, F. Walther, A. Trächtler, Advances in Industrial and Manufacturing Engineering (2021).","bibtex":"@article{Riepold_Arian_Vasquez_Homberg_Walther_Trächtler_2021, title={Model approaches for closed-loop property control for flow forming}, DOI={<a href=\"https://doi.org/10.1016/j.aime.2021.100057\">10.1016/j.aime.2021.100057</a>}, number={100057}, journal={Advances in Industrial and Manufacturing Engineering}, author={Riepold, Markus and Arian, Bahman and Vasquez, Julian Rozo and Homberg, Werner and Walther, Frank and Trächtler, Ansgar}, year={2021} }","mla":"Riepold, Markus, et al. “Model Approaches for Closed-Loop Property Control for Flow Forming.” <i>Advances in Industrial and Manufacturing Engineering</i>, 100057, 2021, doi:<a href=\"https://doi.org/10.1016/j.aime.2021.100057\">10.1016/j.aime.2021.100057</a>.","apa":"Riepold, M., Arian, B., Vasquez, J. R., Homberg, W., Walther, F., &#38; Trächtler, A. (2021). Model approaches for closed-loop property control for flow forming. <i>Advances in Industrial and Manufacturing Engineering</i>, Article 100057. <a href=\"https://doi.org/10.1016/j.aime.2021.100057\">https://doi.org/10.1016/j.aime.2021.100057</a>","ieee":"M. Riepold, B. Arian, J. R. Vasquez, W. Homberg, F. Walther, and A. Trächtler, “Model approaches for closed-loop property control for flow forming,” <i>Advances in Industrial and Manufacturing Engineering</i>, Art. no. 100057, 2021, doi: <a href=\"https://doi.org/10.1016/j.aime.2021.100057\">10.1016/j.aime.2021.100057</a>."},"oa":"1","status":"public","user_id":"36287","_id":"23469"},{"department":[{"_id":"156"},{"_id":"153"},{"_id":"241"}],"type":"conference","date_created":"2022-03-15T12:07:17Z","quality_controlled":"1","citation":{"apa":"Rozo Vasquez, J., Arian, B., Riepold, M., Walther, F., Homberg, W., &#38; Trächtler, A. (2021). Magnetic Barkhausen noise analysis for microstructural effects separation during flow forming of metastable austenite 304L. <i>Proceedings of the 11th International Work­shop NDT in Progress</i>. ENDT&#38;CM 2021 - 11th International Work­shop NDT in Progress, Prague.","ieee":"J. Rozo Vasquez, B. Arian, M. Riepold, F. Walther, W. Homberg, and A. Trächtler, “Magnetic Barkhausen noise analysis for microstructural effects separation during flow forming of metastable austenite 304L.,” presented at the ENDT&#38;CM 2021 - 11th International Work­shop NDT in Progress, Prague, 2021.","chicago":"Rozo Vasquez, Julian, Bahman Arian, Markus Riepold, Frank Walther, Werner Homberg, and Ansgar Trächtler. “Magnetic Barkhausen Noise Analysis for Microstructural Effects Separation during Flow Forming of Metastable Austenite 304L.” In <i>Proceedings of the 11th International Work­shop NDT in Progress</i>, 2021.","short":"J. Rozo Vasquez, B. Arian, M. Riepold, F. Walther, W. Homberg, A. Trächtler, in: Proceedings of the 11th International Work­shop NDT in Progress, 2021.","mla":"Rozo Vasquez, Julian, et al. “Magnetic Barkhausen Noise Analysis for Microstructural Effects Separation during Flow Forming of Metastable Austenite 304L.” <i>Proceedings of the 11th International Work­shop NDT in Progress</i>, 2021.","ama":"Rozo Vasquez J, Arian B, Riepold M, Walther F, Homberg W, Trächtler A. Magnetic Barkhausen noise analysis for microstructural effects separation during flow forming of metastable austenite 304L. In: <i>Proceedings of the 11th International Work­shop NDT in Progress</i>. ; 2021.","bibtex":"@inproceedings{Rozo Vasquez_Arian_Riepold_Walther_Homberg_Trächtler_2021, title={Magnetic Barkhausen noise analysis for microstructural effects separation during flow forming of metastable austenite 304L.}, booktitle={Proceedings of the 11th International Work­shop NDT in Progress}, author={Rozo Vasquez, Julian and Arian, Bahman and Riepold, Markus and Walther, Frank and Homberg, Werner and Trächtler, Ansgar}, year={2021} }"},"publication":"Proceedings of the 11th International Work­shop NDT in Progress","user_id":"36287","_id":"30297","language":[{"iso":"eng"}],"date_updated":"2023-05-02T08:22:02Z","author":[{"full_name":"Rozo Vasquez, Julian","first_name":"Julian","last_name":"Rozo Vasquez"},{"first_name":"Bahman","last_name":"Arian","full_name":"Arian, Bahman","id":"36287"},{"full_name":"Riepold, Markus","last_name":"Riepold","first_name":"Markus"},{"last_name":"Walther","first_name":"Frank","full_name":"Walther, Frank"},{"last_name":"Homberg","first_name":"Werner","full_name":"Homberg, Werner","id":"233"},{"full_name":"Trächtler, Ansgar","last_name":"Trächtler","first_name":"Ansgar","id":"552"}],"conference":{"end_date":"2021.10.07","location":"Prague","name":"ENDT&CM 2021 - 11th International Work­shop NDT in Progress","start_date":"2021.10.04"},"status":"public","title":"Magnetic Barkhausen noise analysis for microstructural effects separation during flow forming of metastable austenite 304L.","year":"2021"}]