Towards hybrid and explainable data-driven models for forming processes: addressing the gap between simulation, process data, and model validation

Research Square 2026 Preprint Open access

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Authors: Daria Gelbich, Markus Schumann, Jonas Moske, Philipp Niemietz, Pascal Heinzelmann, Jonas Knoche, E. Ortlieb, Artem� Alimov, Marion Vogel, Christoph Hartmann, Christine Heinzel, Adili Yiming
+10 more Steffen Ihlenfeldt, Noomane Ben Khalifa, Wolfram Volk, M. Merklein, Sebastian Härtel, Bernd‐Arno Behrens, Prof. Dr. Bernd Engel, Mathias Liewald, Peter Groche, Thomas Bergs
DOI: 10.21203/rs.3.rs-8589495/v1
Cited by: 0

Fields of Study & Subjects

Metal Forming Simulation Techniques Machine Learning in Materials Science Metallurgy and Material Forming

Publication details

Journal / source
Research Square
Publication date
14 January 2026
Document type
Preprint