Model- and Data-Based Estimator and Control Design for Metal Forming Processes

This work considers the model- and data-based estimation and control design for two metal forming processes. To enhance material formability and reduce defects, the temperature of a deep-drawing mold's die is precisely controlled. In the context of multistage press hardening this work aims to estimate and directly control the spatial-temporal temperature distribution in the sheet by developing a data-driven estimation in order to control the product properties of the formed blanks.