Scheduled presentations:

• Identification of Yield Functions of Steel Sheets on Hourglass-Shaped Tensile Specimens Using Machine Learning
  *T. Nishiwaki (Daido University), H. Tsutamori (Daido University)
• Machine Learning Challenges in the Calibration of the CPB’06 Yield Criterion
  A. Silva (University of Aveiro), D. Mitreiro (University of Aveiro), A. Pereira (University of Coimbra), *P. Prates (University of Aveiro)
• Deep Learning–Based Surrogate Modeling for Sheet Metal Forming With POD-Enabled Full-Field Reconstruction
  *A. Kheirandish (Linköping University), M. Jonsson (Linköping University), M. Tarkian (Linköping University), E. Ghane (Linköping University)
• Hierarchical Surrogate Modeling and Uncertainty Quantification for Aluminum Profile Process Chain
  *W. Zheng (CRE, TU Dortmund University), O. Schulz (IUL, TU Dortmund University), M. Valdebenito (CRE, TU Dortmund University), J. Gebhard (IUL, TU Dortmund University), Y. Korkolis (IUL, TU Dortmund University), M. Faes (CRE, TU Dortmund University)
• Reference-Free AI-Based Strain Assessment for Pre-Deformed Metallic Components
  *M. Rossi (Università Politecnica delle Marche), G. Tanoni (Università Politecnica delle Marche), M. Anedda (Università Politecnica delle Marche), M. Fioretti (Università Politecnica delle Marche), E. Principi (Università Politecnica delle Marche)
• An Agent-Based Multi-Source Framework for Manufacturing Time Estimation in Sheet Metal Processes
  *H. Pourrasoul Ouzi (Linköping University), M. Jonsson (Linköping University), M. Tarkian (Linköping University)