AI generates missing parts of temperature distribution

Before engineers at Carnegie Mellon University begin conducting additive manufacturing (AM) experiments in two dedicated labs that are equipped with an impressive range of 3D printing equipment, they often times rely on the power of artificial intelligence to develop models that can be used to monitor and control the build process. Among the many models they are currently developing and testing is one that can precisely monitor and control temperature.

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