Predicting Green Part Quality in Metal Additive Manufacturing using Multimodal Thermal Encoder Network
A multimodal deep learning approach is proposed to efficiently fuse printer telemetry data and in-situ thermal sensing data to predict the green part quality metrics for metal additive manufacturing.
