The U.S. Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL), Oak ridge, Tennessee, has released a new set of metal additive manufacturing (AM) data that industry and researchers can use to evaluate and improve the quality of AM components. The data can significantly boost efforts to verify the quality of the parts using only information gathered during AM, without requiring expensive and time-consuming post-production analysis.

AM part and its digital sample.
An AM part is sliced into small pieces, each of which is tested for tensile strength. A digital copy of the same AM part is analyzed by an AI model to locate anomalies within its structure.