Tracking pores in real time

Summary: Porosity defects in laser-based metal additive manufacturing could be a major obstacle. Researchers used synchrotron x-ray imaging and thermal imaging to study the phenomenon and developed a machine learning approach for detecting and predicting the generation of porosity. With the help of operando x-ray imaging, the approach can be adopted in commercial systems.