Machine Learning Advances Additive Manufacturing in January Issue
The January issue of Additive Manufacturing magazine looks at three ways machine learning is advancing understanding of 3D printing processes and materials.
Compared to conventional processes, additive manufacturing (AM) lacks the years—and in some cases, centuries—of knowledge building that makes machining or casting predictable. But it’s not just about age; AM also has a greater number of variables that can affect the final outcome of a part.
The diversity of these variables and the difficulty in learning about them through trial and error makes AM a good match for another emerging technology: machine learning, or the application of computer algorithms to identify patterns in data. When coupled with human judgement, machine learning has the potential to accelerate additive manufacturing’s advance.
The January issue of Additive Manufacturing explores this potential with three stories of machine learning applications within AM:
- ADAPT, the Alliance for the Development of Additive Processing Technologies, is using machine learning to map variables and outcomes for metal 3D printing, with the goal of developing a predictive model.
- A computer vision system developed at Carnegie Mellon University has learned to identify metal powders for 3D printing with 95 percent accuracy, a capability that could speed material qualification for AM.
- GE’s Global Research Center is building a digital library of AM parameters within its Predix Cloud that will one days enable machine learning at the machine.
Read these stories and more in the digital edition.
The startup’s cloud-based artificial intelligence tool is designed to help companies adopting additive manufacturing make fast, easy decisions about what and how to 3D print.
A Colorado alliance has found the link between AM and AI. Using machine learning to map the formula for successful metal 3D printing, researchers aim to know the right parameters for any new part with few or no test builds.
Blacksmith, an artificial intelligence (AI) solution from Markforged, promises to adjust part designs and processes based on real results. The implication is better, easier 3D printing — but also adaptive manufacturing more broadly.