| Abstract Scope |
X-ray imaging is essential for studying metal solidification and manufacturing processes, offering detailed exploration of phase transformation dynamics in industrial alloy microstructures. Over the past two decades, it has provided significant insights into nucleation and growth of phases, defect formation, morphological instability, and elemental segregation. However, analyzing the complex and vast datasets is time-consuming, often missing valuable insights. To address this, we developed a novel technique, named Artificial Intelligence X-ray Imaging (AIXI), which embed AI in the data acquisition system to automate data collection, control experimental equipment, and analyze raw data in real-time. Additionally, we trained deep learning models to understand microstructural evolution, enhancing the volume of quantified information. This presentation will describe the AIXI instrument design and showcase its application in equiaxed solidification and grain refinement of aluminum alloys. |