Professorship for Manufacturing – Innovative Manufacturing

Organisational unit: Section

  1. Article in conference proceedings › Research › Peer-reviewed
  2. Published

    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/worksArticle in conference proceedingsResearchpeer-review

  3. Published

    Parameter Investigation for the In-Situ Hybridization Process by Deep Drawing of Dry Fiber-Metal-Laminates

    Kruse, M., Lehmann, J. & Ben Khalifa, N., 01.01.2023, Production at the Leading Edge of Technology: Proceedings of the 12th Congress of the German Academic Association for Production Technology (WGP), University of Stuttgart, October 2022. Liewald, M., Verl, A., Bauernhansl, T. & Möhring, H-C. (eds.). Cham: Springer, p. 122-130 9 p. (Lecture Notes in Production Engineering; vol. Part F1163).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  4. Published

    Process simulation of friction extrusion of aluminum alloys

    Diyoke, G., Rath, L., Chafle, R., Ben Khalifa, N. & Klusemann, B., 19.04.2023, Material Forming: The 26th International ESAFORM Conference on Material Forming - ESAFORM 2023 - held in Kraków, Poland, April 19-21, 2023. Madej, L., Sitko, M. & Perzynski, K. (eds.). Millersville: MaterialsResearchForum LLC, Vol. 1. p. 487-494 8 p. (Materials Research Proceedings; vol. 28).

    Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

  5. 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/worksArticle in conference proceedingsResearchpeer-review

  6. Published abstract in conference proceedings › Research › Not peer-reviewed
  7. Published

    Reduction of Anisotropic Mechanical Properties During Extrusion by Means of Additively Manufactured Dies

    Esterl, F., Nienaber, M., Bohlen, J. & Ben Khalifa, N., 2024, Extended Abstract Book of the 9th JSTP International Seminar on Precision Forging : March 11–14 2024, Kyoto, Japan. Terano, M. & Matsumoto, R. (eds.). Kyoto: Japan Society for Technology of Plasticity, p. 29-30 2 p.

    Research output: Contributions to collected editions/worksPublished abstract in conference proceedingsResearch

  8. Journal articles › Research › Peer-reviewed
  9. Published

    Analysis of the Influence of Fibers on the Formability of Metal Blanks in Manufacturing Processes for Fiber Metal Laminates

    Mennecart, T., Gies, S., Ben Khalifa, N. & Tekkaya, A. E., 03.2019, In: Journal of Manufacturing and Materials Processing. 3, 1, 15 p., 2.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  10. Published

    Analytical prediction of wall thickness reduction and forming forces during the radial indentation process in Incremental Profile Forming

    Grzancic, G., Löbbe, C., Ben Khalifa, N. & Tekkaya, A. E., 05.2019, In: Journal of Materials Processing Technology. 267, p. 68-79 12 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  11. Published
  12. Published

    Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning

    Heger, J. & Voss, T., 2023, In: International Journal of Production Research. 61, 1, p. 147-161 15 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review

  13. Published

    Dynamische Losgrößenoptimierung mit bestärkendem Lernen

    Voß, T., Bode, C. & Heger, J., 2021, In: ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb. 116, 11, p. 815-819 5 p.

    Research output: Journal contributionsJournal articlesResearchpeer-review