Machine Learning for Additive Manufacturing

AI-Driven "Operating System" Makes Data Count

AI assistance could help additive manufacturing operations link engineering and design data to what is really happening on the factory floor.

Experts Compile Skills, Attributes Necessary for AM Engineers

Additive engineer demand has begun outpacing the supply of qualified workers in the industry. Penn State University banded together a team of experts and implemented focus groups, interviews, location observations and surveys in order to find out what makes a good additive manufacturing (AM) engineer.

Lockheed Martin to Integrate Machine Learning with Metal 3D Printing

In partnership with the Office of Naval Research, Lockheed Martin is undertaking a project to develop multi-axis robots that can optimize 3D printing in process.

PostProcess Technologies' Connect3D Supports Postprocessing

The Connect3D software for 3D-printed part postprocessing brings the company's Automat3D software functionality into the cloud. 

Senvol Developing Machine Learning AM Software for U.S. Navy

The data-driven software analyzes the relationships between additive manufacturing process parameters and material performance.

Machine Learning for Invention Will Aid and Be Aided By AM

Neural networks that learn by trial and error—learning, in fact, like a child—will map the constraints of AM systems, allowing part designs to be optimized for those systems.

How Machine Learning Is Moving AM Beyond Trial and Error

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.

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.

What GE’s Machine Learning Ecosystem Will Mean for Additive Manufacturing

At GE’s Global Research Center in upstate New York, engineers join forces to build a digital library of additive research.

With Machine Learning, We Will Skip Ahead 100 Years

Machine learning or AI will prove vital to the advance of AM. Computational power will enable additive to advance much faster than if it had been invented in an earlier time.