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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Failure prediction by using a recurrent neural network in incremental sheet forming with active medium
Thiery, S., Zein El Abdine, M., Heger, J. & Ben Khalifa, N., 30.10.2025, In: International Journal of Material Forming. 18, 4, 15 p., 91.Research output: Journal contributions › Journal articles › Research › peer-review
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Solid-State Recycling of AA6063 Aluminum Chips via Accumulative Roll Bonding: A Green Pathway to High-Performance Materials
Carta, M., Ben Khalifa, N., Buonadonna, P., Aymerich, F. & El Mehtedi, M., 09.2025, In: Metals. 15, 9, 16 p., 1042.Research output: Journal contributions › Journal articles › Research › peer-review
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Analysis of tailored residual stress fields of deep rolled AA2024 sheets
Lehmann, J., Pöltl, D., Esterl, F., Kashaev, N. & Ben Khalifa, N., 09.2025, In: International Journal of Material Forming. 18, 3, 12 p., 66.Research output: Journal contributions › Journal articles › Research › peer-review
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Optimizing dataset design for data-driven models of the deep drawing process using active transfer learning
Heinzel, C., Wollschläger, L., Nurmatov, B.-M., Heger, J. & Khalifa, N. B., 2025, In: Journal of Physics: Conference Series. 3104, 1, 11 p., 012064.Research output: Journal contributions › Conference article in journal › Research › peer-review
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Efficient Production of Nanoparticle Reinforced Magnesium Matrix Composites by High-Shear Stir Casting and Hot Extrusion
Kruse, M., Kujur, M. S., Dieringa, H. & Ben Khalifa, N., 2025, Production at the Leading Edge of Technology : Proceedings of the 14th Congress of the German Academic Association for Production Technology (WGP), Chemnitz University of Technology, December 2024. Drossel, W.-G., Ihlenfeldt, S. & Dix, M. (eds.). Springer Nature, p. 208-215 8 p. (Lecture Notes in Production Engineering; vol. Part F679).Research output: Contributions to collected editions/works › Chapter › peer-review
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Comparison of different machine control modes during friction extrusion of AA2024
Rana, H., Chan, C., Suhuddin, U. F. H., Ben Khalifa, N. & Klusemann, B., 2025, 28th International ESAFORM Conference on Material Forming, ESAFORM 2025. Carlone, P., Filice, L. & Umbrello, D. (eds.). Association of American Publishers, p. 772-779 8 p. (Materials Research Proceedings; vol. 54).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Direct hot rolling as a solid-state recycling process for green sheets production
El Mehtedi, M., Ben Khalifa, N., Buonadonna, P., El Mohtadi, R., Marongiu, G., Aymerich, F. & Carta, M., 2025, 28th International ESAFORM Conference on Material Forming, ESAFORM 2025. Carlone, P., Filice, L. & Umbrello, D. (eds.). Association of American Publishers, p. 1449-1459 11 p. (Materials Research Proceedings; vol. 54).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Machine learning pipeline for Structure–Property modeling in Mg-alloys using microstructure and texture descriptors
Guru, M. K., Bohlen, J., Aydin, R. C. & Khalifa, N. B., 15.08.2025, In: Acta Materialia. 295, 121132.Research output: Journal contributions › Journal articles › Research › peer-review
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Comprehensive analysis of the forming zone and improvement of diameter reduction prediction in the dieless wire drawing process
Braatz, M., Bohlen, J. & Ben Khalifa, N., 15.04.2025, In: Journal of Manufacturing Processes. 139, p. 210-223 14 p.Research output: Journal contributions › Journal articles › Research › peer-review
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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
