Veröffentlichungen

2023

Sessions + Mini Symposia

SMSI 2023 – SENSOR AND MEASUREMENT SCIENCE INTERNATIONAL

U.Schmid (Hrsg.): „SMSI 2023 Conference Sensor and Measurement Science International“, Nürnberg, 2023, ISBN: 978-3-98193-768-8

• J. Vasquez, B. Arian, L. Kersting, W. Homberg, A. Trächtler, F. Walther: Qualification of Barkhausen Noise and Eddy Current Based Sensors for Online Monitoring of Strain-Induced α’-Martensite Phase Transformation During Flow Forming, https://doi.org/10.5162/SMSI2023/D1.1
• S. Stebner, D. Maier, A. Ismail, M. Dölz, B. Lohmann, W. Volk, S. Münstermann: Sensitivity Analysis of Barkhausen Noise Measurements for Residual Stress Correlation, https://doi.org/10.5162/SMSI2023/D1.2
• S. Hütter, G. Mook, T. Halle: Real-Time Microstructure Characterization using Eddy Current-based Soft Sensors, https://doi.org/10.5162/SMSI2023/D1.3
• F. Wendler, R. Laue, S. Härtel, O. Kanoun, B. Awiszus: Multifrequency Multichannel Eddy Current Sensor System for the Analysis of Mechanical States in Ferromagnetic Materials, https://doi.org/10.5162/SMSI2023/D1.4

26. ESAFORM Conference on Material Forming

Lukasz Madej, Mateusz Sitko and Konrad Perzynski (Eds.): „Material Forming ESAFORM 2023“, Materials Research Proceedings Volume 28, Publication Date 2023, 2164 Pages,
ePDF ISBN 978-1-64490-247-9, DOI: 10.21741/9781644902479

• B. Arian, W. Homberg, J. Rozo Vasquez, F. Walther, L. Kersting, A. Trächtler: Cryogenic reverse flow forming of AISI 304L, pp 2037-2048, 2023
• L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, F. Walther: Control strategy for angular gradations by means of the flow forming process, pp 2049-2060, 2023
• N. Reinisch, D. Bailly, G. Hirt, Optimizing the microstructure in open-die forgings using reinforcement learning, pp 2061-2070, 2023
• D. Spies, D.A. Molitor, J. Damon, M. Knoll, S. Dietrich, V. Schulze, P. Groche: Conception of a multivariable product property control for punch-hole-rolling, pp 2081-2090, 2023
• D. Maier, L. Scandola, M. Werner, S. Stebner, A. Ismail, B. Lohmann, S. Münstermann, W. Volk, P. Lechner: Experimental analysis on the influence of freeform bending on Barkhausen noise for steel tubes, pp 2091-2100, 2023
• X. Li, Ch. Schulte, R. Zhu, D. Abel, G. Hirt: Modeling and control of tribological properties for subsequent forming process in skin-pass rolling, pp 2115-2125, 2023

Paper + Konferenzbeiträge

• R. Lafarge, S. Hütter, T. Halle, A. Brosius: Process Window and Repeatability of Thermomechanical Tangential Ring Rolling. Journal of Manufacturing and Materials Processing. 2023; 7(3):98. https://doi.org/10.3390/jmmp7030098
• C. Schulte, X. Li, S. Stemmler, H. Vallery, G. Hirt, D. Abel: Adaptive Pass Scheduling for Roughness Control in Cold Rolling. IFAC World Congress 2023, Yokohama, Japan, 22nd World Congress of the International Federation of Automatic Control (Accepted)
• Ismail, A., Maier, D., Stebner, S., Münstermann, S., Volk, W., and Lohmann, B. (2023). Free-form Bending Control using Optimal Residual Strategies. IFAC World Congress, Yokohama, Japan. (accepted)

2022

Sessions + Mini Symposia

36. ASK Umformtechnik

G. Hirt (Hrsg.): 36. Aachener Stahlkolloquium – Umformtechnik “Ideen Form geben“, Aachen, 2022, ISBN: 978-3-95886-460-3

• B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, F. Walther: Produktkennzeichnung durch lokal definierte Einstellung von ferromagnetischen Eigenschaften beim Drückwalzen von metastabilen Stahlwerkstoffen. S.333-347
• D. Spies, F. Mühl, M. Knoll, S. Dietrich, P. Groche, V. Schulze Integration of a magnetic Barkhausen noise sensor for the Product Property Control in a progressive press tool for punch-hole-rolling, S.445-454
• Stebner, S. et al. Konzeption eines Softsensor für das Freiformbiegen mit beweglicher Matrize, S.323-332
• J. Martschin, M. Wrobel, T. Meurer, F. Kolpak, A.E. Tekkaya: Entwicklung von Softsensoren für das eigenschaftsgeregelte mehrstufige Presshärten, S.283-292
• M. Feistle, S. Burger, R. Li, M. Bambach, F. Thein, M. Herty, New Machine Tool Control for Hot Forming of Leightweight Materials, S.65-75
• C. Schulte, X. Li, D. Abel, G. Hirt Regelung der Oberflächenrauheit im Nachwalzen auf Basis datengetriebener Modelle, S.211-223
• R. Lafarge, A. Brosius, S. Hütter, T. Halle Eigenschaftsgeregeltes thermomechanisches Ringwalzen – Verfahrensumsetzung und Prozessfenster, S.xx-xx
• R. Laue, B. Awiszus, F. Wendler, O. Kanoun, S. Härtel Eigenschaftsgeregeltes Projizierdrücken im digitalen Zwilling, S. xx-xx

Paper + Konferenzbeiträge

• L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, F. Walther: Innovative online measurement and modelling approach for property-controlled flow forming processes. Proceedings of the 25th International Conference on Material Forming, Braga, Key Engineering Materials Vol. 926, 2022, S. 862-874, DOI: 10.4028/p-yp2hj3
• J. Rozo Vasquez , H. Kanagarajah , B. Arian , L. Kersting , W. Homberg , A. Trächtler, F. Walther: Coupled microscopic and micromagnetic depth-specific analysis of plastic deformation and phase transformation of metastable austenitic steel AISI 304L by flow forming. Practical Metallography, Band 59 Heft 11, S. 660-675, DOI: :10.1515/pm-2022-0064
• J. Rozo Vasquez, B. Arian, L. Kersting, Werner Homberg, A. Trächtler, F. Walther: Soft sensor concept for micromagnetic depth-specific analysis of phase transformation during flow forming of AISI 304L steel. ICBM 14, 14th International Conference on Barkhausen Noise and Micromagnetic Testing, Stockholm, 27.-30. Sept. 2022
• L. Kersting, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg, F. Walther: Echtzeitfähige Modellierung eines innovativen Drückwalzprozesses für die eigenschaftsgeregelte Herstellung gradierter Bauteile. In: U. Jumar, Christian Diedrich (Hrsg.): Entwurf komplexer Automatisierungssysteme – 17. Fachtagung EKA 2022, Magdeburg, ISBN: 978-3-948749-23-1
• B. Arian, A. Oesterwinter, W. Homberg, J. Rozo Vasquez, F. Walther, L. Kersting, A. Trächtler: A flow forming process model to predict workpiece properties in AISI 304L. Metal Forming 2022, 19th Int. Conference on Metal Forming 2022, Taiyuan, 2022, DOI 10.1088/1757-899X/1270/1/012093
• Maier, D. et al.: Development of a partial heating system for freeform bending with movable die. Proceedings on Hot Sheet Metal forming of High-Performance Steel, 2022, 8th International Conference, 767-774
• Stebner, S. et al.; Extension of a Simulation Model of the Freeform Bending Process as Part of a Soft Sensor for a Property Control. Key Engineering Materials. 2022. Doi: 10.4028/p-d17700
• Ismail, A. et al.; Control System Design for a Semi-Finished Product Considering Over- and Underbending; The 28th Saxon Conference on Forming Technology SFU and the 7th International Conference on Accuracy in Forming Technology ICAFT), 2022, doi: 10.3390/engproc2022026016
• S. Hütter, G. Mook, T. Halle: Quantifizierung elektromagnetischer Eigenschaften durch Wirbelstrom-basierte Softsensoren 40. Vortrags- und Diskussionstagung Werkstoffprüfung, Deutsche Gesellschaft für Materialkunde, 2022, M.Zimmermann (Hrsg.): „40. Vortrags- und Diskussionstagung Werkstoffprüfung 2022“, Dresden, 27.-28.10.2023, ISBN: 978-3-88355-430-3

2021

Paper + Konferenzbeiträge

• Lafarge, R., Hütter, S., Tulke, M. et al.: Data based model predictive control for ring rolling. Prod. Eng. Res. Devel. 15, 821–831 (2021). https://doi.org/10.1007/s11740-021-01063-1
• Martschin, J.; Meya, R.; Klöser, D.; Meurer, T.; Tekkaya, A.E.; Control-Oriented Characterization of Product Properties during Hot Hole-Flanging of X46Cr13 Sheet Material in a Progressive-Die. Metals 2021, 11, 349.
  https://doi.org/10.3390/met11020349
• Mühl, F,; Knoll, M; Khabou, M.; Dietrich, S.; Groche, P.; Schulze, V.; Soft Sensor approach based on magnetic barkhausen noise by means of the forming process punch-hole-rolling. Advances in Industrial and Manufacturing Engineering 2021, 100039.
  https://doi.org/10.1016/j.aime.2021.100039
• Arian, B.; Homberg, W.; Rozo Vasquez, J.; Walther, F.; Riepold, M; Trächtler, A.; Forming of metastable austenitic stainless steel tubes with axially graded martensite content by flow-forming. Paper presented at ESAFORM 2021. 24th International Conference on Material Forming, Liège. 10.25518/esaform21.2759
  https://popups.uliege.be/esaform21/index.php?id=2759
• Hütter, S.; Lafarge, R.; Simonin, J.; Mook, G.; Brosius, A., Halle, T.; Determination of Microstructure Changes by Eddy-Current Methods for Cold and Warm Forming Applications. Advances in Industrial and Manufacturing Engineering, Vol. 2C, 2021, 100042
  https://doi.org/10.1016/j.aime.2021.100042
• Wendler, F.; Munjal, R.; Waqas, M.; Laue, R.; Härtel, S.; Awiszus, B.; Kanoun, O.; Eddy Current Sensor System for Tilting Independent In-Process Measurement of Magnetic Anisotropy. Sensors 21, 2021, no. 8: 2652.
  https://doi.org/10.3390/s21082652
• Bambach, M., Gerster, S., Herty, M. (2021) Online data assimilation of a hybrid flow stress model by particle filtering, CIRP Annals, 2021, in press.
• Stendal, J.A., Eisentraut, M., Imran, M., Sizova, I., Bolz, S., Weiß, S., Bambach, M. Accelerated hot deformation and heat treatment of the TiAl alloy TNM-B1 for enhanced hot workability and controlled damage, Journal of Materials Processing Technology 291, 116999. 2021. https://doi.org/10.1016/j.jmatprotec.2020.116999
• Bambach, M., Imran, M., Sizova, I., Gerster, S., Herty, M. (2021) A soft sensor for property control in multi-stage hot forming based on a level set formulation of grain size evolution and machine learning, Advances in Industrial and Manufacturing Engineering, Vol.2, 2021, 100041
  https://doi.org/10.1016/j.aime.2021.100041
• Bambach, M., Herty, M., Imran, M.; Feedback stabilization of forming processes, Submitted to 6th IFAC Workshop on Mining, Mineral and Metal Processing, Preprint available on www.arxiv.org, arXiv: 2104.05985.
• Bambach, M., Gerster, S., Herty, M., Imram M. (2020) Feedback control for random linear hyperbolic balance laws, in revision for International Journal for Uncertainty Quantification, accepted.
• Maier, D. et al. (2021): The influence of freeform bending process parameters on residual stresses for steel tubes, AIME 2, https://doi.org/10.1016/j.aime.2021.100047
• Stebner, S. C. et al. (2021): A System Identification and Implementation of a Soft Sensor for Freeform Bending, Materials 14, https://doi.org/10.3390/ma14164549
• Wendler, F.; Munjal, R.; Kanoun, O.; Härtel, S.; Awiszus, B.: Vorrichtung und Verfahren zur Erfassung materialinterner mechanischer Zustände eines Werkstücks; amtliches Aktenzeichen: 10 2021 103 803.0; Tag der Patentanmeldung: 18.02.2021
• Laue, Robert; Wendler, Frank; Härtel, Sebastian; Kanoun, Olfa; Awiszus, Birgit (2021): Analysis of stress influence and plastic strain on magnetic properties during the forming process. Advances in Industrial and Manufacturing Engineering 3, S. 100053. DOI: 10.1016/j.aime.2021.100053 .
• J. Rozo Vasquez, B. Arian, M. Riepold, W. Homberg, A. Trächtler, F. Walther: Magnetic Barkhausen noise analysis for microstructural effects separation during flow forming of metastable austenite 304L. Proceedings of the 11th International Workshop NDT in Progress, NDT in Progress 2021, 202
• M. Riepold, B. Arian, J. Rozo Vasquez, W. Homberg, F. Walther, A. Trächtler: Model approaches for closed-loop property control for flow forming, Advances in Industrial and Manufacturing Engineering 3, 100057, 2021, DOI: 10.1016/j.aime.2021.100057
• C. Schulte, X. Li, D. Abel and G. Hirt, „High Precision Thickness Control in a Cold Rolling Mill using a Non-Linear Roll Stand Deflection Model,“ 2021 European Control Conference (ECC), Delft, Netherlands, 2021, pp. 1907-1912,
  doi: 10.23919/ECC54610.2021.9655117
• Li, X.; Schulte, C.; Abe,l D.; Teller, M.; Hirt, G.; Lohmar, J.; Modeling and exploiting the strip tension influence on surface imprinting during temper rolling of cold-rolled steel. Advances in Industrial and Manufacturing Engineering, Vol.2, 2021, 100045, doi: 10.1016/j.aime.2021.100045

Sessions + Mini Symposia

IFAC MMM 2021
Meurer, Thomas; Herty, Michael; Model-based Control of Forming Processes
invited session
Contributions:

• 1. Malte Wrobel, Thomas Meurer: Optimal Sensor Placement for Temperature Control in a Deep Drawing Tool, https://doi.org/10.1016/j.ifacol.2021.10.056
• 2. Michael Herty, Markus Bambach, Muhammad Imran: Feedback stabilization of forming processes, https://doi.org/10.1016/j.ifacol.2021.10.057
• 3. Dirk Wolfram, Thomas Meurer: Parameter Identification for a 3D Heating Process by the Adjoint Method based on Experimental Data, https://doi.org/10.1016/j.ifacol.2021.10.058
• 4. Christopher Schulte, Xinyang Li, Dirk Abel, Gerhard Hirt: Model-based Control of the Strip Roughness in Cold Rolling, https://doi.org/10.1016/j.ifacol.2021.10.059
• 5. Ahmed Ismail, Daniel Maier, Sophie Charlotte Stebner, Wolfram Volk, Sebastian Münstermann, Boris Lohmann: A Structure for the Control of Geometry and Properties of a Freeform Bending Process, IFAC-PapersOnLine 54, https://doi.org/10.1016/j.ifacol.2021.10.060
• 6. Szymon Kwiecien, Lucas Hamm, Max Weiner, Matthias Schmidtchen, Ulrich Prahl, Welf-Guntram Drossel: Soft sensor control for twin roll casting processes of magnesium alloys, https://doi.org/10.1016/j.ifacol.2021.10.061

2020

• Rozo Vasquez, J.; Arian, B.; Markus, R.; Homberg, W.; Ansgar, T.; Walther, F. Microstructural investigation on phase transformation during flow forming of the metastable austenite AISI 304. Sonderbände der Praktische Metallographie zur 54. Metallographie-Tagung – Fortschritte in der Metallographie, Hrsg.: A. Neidel, ISBN 978-3-88355-422-8 (2020) 75-81.
  Knoll, M.; Mühl, F.; Groche, P.; Schulze, V.; Simulative basic investigation for a new forming process punch-hole-rolling. Procedia Manufacturing 2020, 50, 503-509.
  https://doi.org/10.1016/j.promfg.2020.08.091
• Bambach, M., Gerster, S., Herty, M., Imram M. (2020) Feedback control for random linear hyperbolic balance laws, in revision for International Journal for Uncertainty Quantification, Preprint available on www.arxiv.org, arXiv:2007.00526.