2021
- 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.
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
- 2. Michael Herty, Markus Bambach, Muhammad Imran: Feedback stabilization of forming processes
- 3. Dirk Wolfram, Thomas Meurer: Parameter Identification for a 3D Heating Process by the Adjoint Method based on Experimental Data
- 4. Christopher Schulte, Xinyang Li, Dirk Abel, Gerhard Hirt: Model-based Control of the Strip Roughness in Cold Rolling
- 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
- 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
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.
https://www.researchgate.net/publication/344338193 - 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.