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).
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Manufacturing of irregular shapes through force control in incremental sheet forming with active medium
Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 01.05.2025, In: Advances in Industrial and Manufacturing Engineering. 10, 11 p., 100157.Research output: Journal contributions › Journal articles › Research › peer-review
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Mechanical characterization of as-cast AA7075/6060 and CuSn6/Cu99.5 compounds using an experimental and numerical push-out test
Greß, T., Stahl, J., Mittler, T., Spano, L., Chen, H., Ben Khalifa, N. & Volk, W., 28.03.2019, In: Materials Science & Engineering A. 751, p. 214-225 12 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Methode zur dynamischen Anpassung von Reihenfolgeregeln mit bestärkendem Lernen
Voß, T., 06.09.2022, Lüneburg. 120 p.Research output: Books and anthologies › Dissertations
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Methode zur Erzeugung von diskontinuierlichen Profilquerschnitten durch eine Kombination aus dem Umformverfahren Strangpressen und dem Urformverfahren Kunststoffextrusion: Diskontinuierliche Co-Extrusion
Stommel, M., Günther, F., Tekkaya, E., Ben Khalifa, N., Dahnke, C., Kloppenborg, T., Schulze, A. & Gebhardt, J., 10.09.2020, IPC No. PCT/DE 2019/000058, Europäisches Patentamt, Patent No. WO2020/177788A1, 07.03.2019Research output: Patents › Patent
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Modeling of 3D fluid-structure-interaction during in-situ hybridization of double-curved fiber-metal-laminates
Poppe, C. T., Kruse, M. & Kärger, L., 19.04.2023, Material Forming - The 26th International ESAFORM Conference on Material Forming – ESAFORM 2023: The 26th International ESAFORM Conference on Material Forming - ESAFORM 2023. Madej, L., Sitko, M. & Perzynski, K. (eds.). Krakow: MaterialsResearchForum LLC, p. 219-230 12 p. (Materials Research Proceedings; vol. 28).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Neural network-based estimation and compensation of friction for enhanced deep drawing process control
Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 15.05.2024, Material Forming ESAFORM 2024: The 27th International ESAFORM Conference on Material Forming – ESAFORM 2024 – held in Toulouse (France), at the Pierre Baudis Convention Center between 24-26th April, 2024. Araujo, A. C., Cantarel, A., Chabert, F., Korycki, A., Olivier, P. & Schmidt, F. (eds.). Millersville: MaterialsResearchForum LLC, p. 1462-1471 10 p. 162. (Materials Research Proceedings; vol. 41).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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New concepts of extrusion dies to reduce the anisotropy of extruded profiles by means of additive manufacturing
Khalifa, N. B., Isakovic, J. & Bohlen, J., 2021, In: CIRP Annals. 70, 1, p. 231-234 4 p.Research output: Journal contributions › Journal articles › Research › peer-review
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Novel Magnesium Nanocomposite for Wire-Arc Directed Energy Deposition
Dieringa, H., Nienaber, M., Giannopoulou, D., Isakovic, J., Bohlen, J., Kujur, M. S., Ben Khalifa, N., Klein, T. & Gneiger, S., 20.01.2024, In: Materials. 17, 2, 11 p., 500.Research output: Journal contributions › Journal articles › Research › peer-review
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Numerical simulation of friction extrusion: process characteristics and material deformation due to friction
Diyoke, G., Rath, L., Chafle, R., Ben Khalifa, N. & Klusemann, B., 05.2024, In: International Journal of Material Forming. 17, 3, 13 p., 26.Research output: Journal contributions › Journal articles › Research › peer-review
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Outperformed by a Computer? - Comparing Human Decisions to Reinforcement Learning Agents, Assigning Lot Sizes in a Learning Factory: 11th Conference on Learning Factories, CLF2021
Voß, T., Rokoss, A., Maier, J. T., Schmidt, M. & Heger, J., 06.2021, Rochester: Elsevier Inc., 6 p. (SSRN).Research output: Working paper › Working papers