SPP2476: Holistic process chain modeling for aluminum profile forming

The project's goal is to develop a modeling method for simulating the process chain of complex bent aluminum profiles. This method aims to predict critical quality parameters (CTQ) and identify process paramteres which influence uncertainties throughout the production chain. The CTQs include springback, wall thickness, energy balance, and mechanical performance. The project follows a two-stage modeling strategy: initially using physical white-box models, followed by surrogate models for efficient computation. The main objectives are: 1) identification of critical parameters in the production process and their predictability; 2) establishment of the process chain in the lab to investigate relationships between parameters and CTQs, including necessary sensors; 3) improvement of the robustness of CTQ parameters under non-reducible uncertainties through suitable methods for quantifying and integrating these uncertainties into the modeling framework.