Professorship for Manufacturing – Innovative Manufacturing
Organisational unit: Professoship
Main research areas
The professorship for manufacturing technology – which takes the form of a shared professorship with the Helmholtz-Zentrum hereon GmbH – covers a wide spectrum of manufacturing processes, both in regard to research and in regard to teaching. In doing so, research work focuses primarily on forming technology and the integration of additional manufacturing technologies, such as additive manufacturing. In terms of research and teaching, the key specialisations of this group are light construction and the conservation of resources, the adaptation of process- and material-induced product properties, components and processes for electric mobility, Industry 4.0, and networked and digitalised processes. These fields are researched from a manufacturing technology point of view and furthered through cooperations with other disciplines.
What’s more, one of the key activities carried out by this professorship is the transfer of this knowledge into regional, national and international industry. In addition, the professorship represents Leuphana University and the Helmholtz-Zentrum hereon GmbH national and international committees for manufacturing technology, such as the AGU (German Metal Forming Association) or CIRP (the International Academy for Production Engineering).
- 2022
- Published
Process Stability and Reproducibility of the Dieless Drawing Process for AZ31 Magnesium Wires
Braatz, M., Bohlen, J. & Khalifa, N. B., 2022, Achievements and Trends in Material Forming: Peer-reviewed extended papers selected from the 25 th International Conference on Material Forming (ESAFORM 2022). Vincze, G. & Barlat, F. (eds.). Baech: Trans Tech Publications Ltd, p. 389-400 12 p. (Key Engineering Materials; vol. 926 ).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Dynamic Lot Size Optimization with Reinforcement Learning
Voss, T., Bode, C. & Heger, J., 01.01.2022, Dynamics in Logistics : Proceedings of the 8th International Conference LDIC 2022, Bremen, Germany. Freitag, M., Kinra, A., Kotzab, H. & Megow, N. (eds.). Cham: Springer Science and Business Media B.V., p. 376-385 10 p. (Lecture Notes in Logistics).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Formwerkzeug und Verfahren zum Strangpressen von metallischen Werkstoffen
Ben Khalifa, N., Isakovic, J. & Bohlen, J., 17.02.2022, IPC No. B21C 25/02, Deutsches Patent- und Markenamt, Patent No. 102020128163, 27.10.2020Research output: Patents › Patent
- Published
Werkzeugkonzepte und Methoden für das Strangpressen
Ben Khalifa, N., Isakovic, J. & Bohlen, J., 28.04.2022, IPC No. B21C25/02, Deutsches Patent- und Markenamt, Patent No. 10 2020 128 163.3, 27.10.2020Research output: Patents › Patent
- Published
Effect of Temperature and Strain Rate on Formability of Titanium Alloy KS1.2ASN
Sikhamov, R., Ventzke, V., Dorn, F., Klusemann, B., Khalifa, N. B. & Kashaev, N., 22.07.2022, Achievements and Trends in Material Forming: Peer-reviewed extended papers selected from the 25 th International Conference on Material Forming (ESAFORM 2022). Vincze, G. & Barlat, F. (eds.). Baech: Trans Tech Publications Ltd, p. 939-946 8 p. (Key Engineering Materials; vol. 926).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Towards 3D Process Simulation for In Situ Hybridization of Fiber-Metal-Laminates (FML)
Poppe, C. T., Werner, H. O., Kruse, M., Chen, H., Ben Khalifa, N., Henning, F. & Kärger, L., 22.07.2022, In: Key Engineering Materials. 926, p. 1399-1412 14 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Influence of Extrusion Rate on Microstructure and Mechanical Properties of Magnesium Alloy AM60 and an AM60-Based Metal Matrix Nanocomposite
Giannopoulou, D., Bohlen, J., Ben Khalifa, N. & Dieringa, H., 04.08.2022, In: Nanomaterials. 12, 15, 12 p., 2682.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
Voß, T., Heger, J. & Zein El Abdine, M., 09.2022, In: Simulation Notes Europe. 32, 3, p. 169-175 7 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Methode zur dynamischen Anpassung von Reihenfolgeregeln mit bestärkendem Lernen
Voß, T., 06.09.2022, Lüneburg. 120 p.Research output: Books and anthologies › Dissertations
- Published
Property profile development during wire extrusion and wire drawing of magnesium alloys AZ31 and ZX10
Nienaber, M., Braatz, M., Ben Khalifa, N. & Bohlen, J., 01.12.2022, In: Materials and Design. 224, 13 p., 111355.Research output: Journal contributions › Journal articles › Research › peer-review