Automated high-throughput system developed to generate structural materials databases
A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of a superalloy used in aircraft engines. The system successfully produced an experimental dataset containing several thousand records—each consisting of interconnected processing conditions, microstructural features and resulting yield strengths (referred to as “Process–Structure–Property datasets” below)—in just 13 days. Datasets are generated over 200 times faster than when using conventional methods. The system’s ability to rapidly produce large-scale, comprehensive datasets has the potential to significantly ...