Florian Wittemann and Luise Kärger from the Karlsruhe Institute of Technology (KIT) presented on the topic of "Lightweight Engineering: A Rapid Method for Approximating Pressure and Fiber Orientation Distributions due to Process and Material Variations in Injection Molding." The presentation began with an introduction to the uncertainties involved in the injection molding process, particularly focusing on factors such as heating, tool temperature, plastification, material temperature, initial curing state, and fiber length. The motivation behind their study was to understand the effects of these uncertainties on the injection molding process, as part of the Project MeproSi. The core of their presentation revolved around the consideration of temperature and curing effects on matrix viscosity, curing kinetics, and how these factors influence the flow field, and consequently, the pressure and fiber orientation in the molding process. They used a matrix viscosity model and a suspension viscosity model to capture these influences. They presented a simulation approach that included parameter variation for tool temperature, material temperature, fiber length, and initial suspension concentration. The results showed how relative pressure change is quite linear in relative parameter change and is nearly independent of the position in the mold. They concluded that linear interpolation should create acceptable results for pressure approximation. In their methodology, they interpolated tensor quantities individually, normalized them, and used fractional anisotropy for evaluation. The results from their study indicated that the mean of 100 approximations with random input fits well to the reference simulation, with detectable but low uncertainty. The conclusion of their presentation highlighted that they had developed a numerical study to quantify the influence of various parameters on pressure and fiber orientation. They found a linear relationship between variation and pressure and developed approximation schemes for both pressure and orientation changes due to multiple parameter changes. The results were promising when compared to real 3D simulations, and they suggested that more complex approaches might yield even better results. This study was a first step towards efficient modeling of process uncertainties in injection molding.