Adaptive Automation and Defect Control in Forming Processes of Composite Materials: A Robust Parametrisation Approach to Improve Simulation Accuracy

This research improves the accuracy of forming processes for composite materials by reducing defects and ensuring consistency. Composite materials are used in industries like aerospace and automotive, but variations in material properties and production parameters can lead to defects. This research explores two key methods: optimising design parameters to make the forming process more reliable and using real-time scanning to identify and control defects. By enhancing simulation models and refining defect detection, this research helps create robust, more precise, and reliable composite parts, leading to safer and more efficient composite parts for industries.