Quality Assurance by Sensor Fusion of Optical Process Monitoring Data in LPBF
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Can observations of melt pool and solidified part be combined to better detect process deviations?
Challenge and Motivation
- Thermal observation of the melt pool can be used to detect several process deviations but only sometimes indicates the final part quality.
- Optical images of the solidified parts lack information regarding the source of deviations.
Objective
- Combine data from optical tomography (OT) system and high resolution line camera in a data pipeline.
- Identify irregularities in the images of the solidified material and their possible cause taking into account the corresponding areas in the OT images.