Scalable in situ non-destructive evaluation of additively manufactured components using process monitoring, sensor fusion, and machine learning Journal September, 2023
IN-SITU MONITORING ASSISTED LARGE-SCALE ADDITIVE MANUFACTURING OF MILD STEEL AND 316L ALLOYS FOR NUCLEAR APPLICATION... ORNL Report September, 2023
Report Outlining Computed Tomography Strategy and Microscopy Approach to Qualifying AM 316 Materials ORNL Report August, 2023
Operando neutron diffraction reveals mechanisms for controlled strain evolution in 3D printing... Journal August, 2023
Methods for rapid identification of anomalous layers in laser powder bed fusion... Journal July, 2023
Application of Machine Learning to Monitor Metal Powder-Bed Fusion Additive Manufacturing Processes... Book Chapter June, 2023
Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction... Journal May, 2023
Observation of spatter-induced stochastic lack-of-fusion in laser powder bed fusion using in situ process monitoring... Journal January, 2023