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Article
Multidisciplinary Sciences
Machine learning-aided real-time detection of keyhole pore generation in laser powder bed fusion
Zhongshu Ren et al.
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.
SCIENCE (2023)