Three Ways Machine Learning Is Advancing 3D-Printing Processes

Published by , January 19, 2018 1:59 pm

(MMSOnline) Machine learning is advancing the understanding of 3D printing processes and materials in three ways. The diversity and number of variables involved in 3D printing makes AM a good match machine learning, or the application of computer algorithms to identify patterns in data.
The three ways machine learning could advanced AM: 1) One way to use machine learning is to map variables and outcomes for metal 3D printing, with the goal of developing a predictive model for additive builds. 2) Identify metal powders for 3D printing with 95 percent accuracy, a capability that could speed material qualification for AM. 3) A digital library of AM parameters could one day enable closed-loop machine learning at the machine.

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