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Christine Heinzel

Christine Heinzel

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Christine Heinzel

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  1. 2025
  2. Published

    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

  3. 2024
  4. Published

    Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning

    Wollschlaeger, L., Heinzel, C., Thiery, S., Abdine, M. Z. E., Khalifa, N. B. & Heger, J., 2024, In: Procedia CIRP. 130, p. 270-275 6 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  5. Published

    Study on the effects of tool design and process parameters on the robustness of deep drawing

    Heinzel, C., Thiery, S. & Ben Khalifa, N., 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. 1488-1497 10 p. (Materials Research Proceedings; vol. 41).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review