| Abstract Scope |
The Robot-Assisted Serial-Sectioning and Imaging (RASSI) platform is an innovative 3D metallography system developed at the Federal Institute of Materials Research and Testing. It combines advanced robotics, precise sample preparation, adaptable chemical etching techniques, light optical imaging, and machine learning for image segmentation, enabling automated, high-throughput 3D microstructural characterization, and providing significant insights into complex microstructures. We demonstrate RASSI's capabilities through a study of a dual-phase steel (DP600), investigating multi-scale microstructural features and phase distributions. The result is a comprehensive dataset that can be used to enhance computational modeling and prediction of DP steel behavior under various conditions. This case study highlights how RASSI can facilitate the rapid development and optimization of advanced materials and manufacturing processes. |