In-situ process monitoring for powder bed fusion additive manufacturing (pbf am) processes using multi-modal sensor fusion machine learning
Embodiments relate to in-situ process monitoring of a part being made via additive
manufacturing. The process can involve capturing computed tomography (CT) scans of a
post-built part. A neural network (NN) can be used during the build of a new part to process
multi-modal sensor data. Spatial and temporal registration techniques can be used to align
the data to x, y, z coordinates on the build plate. During the build of the part, the multi-modal
sensor data can be superimposed on the build plate. Machine learning can be used to train …
manufacturing. The process can involve capturing computed tomography (CT) scans of a
post-built part. A neural network (NN) can be used during the build of a new part to process
multi-modal sensor data. Spatial and temporal registration techniques can be used to align
the data to x, y, z coordinates on the build plate. During the build of the part, the multi-modal
sensor data can be superimposed on the build plate. Machine learning can be used to train …