Breaking - Euler Launch: AI & the Future of AM Monitoring

Manufacturingeuler

The euler platform uses computer vision and machine learning to analyze powder bed fusion images in real-time, predicting defects like spatter and warping before they cause a crash, allowing operators to intervene early and save materials.

“is it is actually always trying to predict the likely outcomes in the future. … based on everything that has happened before in the build and its collective learnings from observing, you know, thousands of bills. It's always trying to give an estimate of how likely is this built to fail. Five layers, 10 layers, 15 layers, 20 layers in the future.”

Engineering & simulationeuler

The AI analyzed historical image data from successful and failed builds to identify a minor design error causing warping, prompting a component redesign that increased print success rates and prevented recoater damage.

“a customer of ours, they put in data where they had failures to see how it would have been responded, and they also put results that were good. From analyzing 10s, 20 builds results, they identified that there was a minor design error in the component, which warped us a tiny bit causing, sometimes damage to the recoder, sometimes not.”

Manufacturingeuler

The platform automates 24/7 monitoring of additive manufacturing builds using existing camera data, alerting operators to defects so they can stop builds early or suppress components, saving days of production time and material.

“the oiler platform is this intelligent entity that is monitoring 247 year build, irregardless of how many printers you have, and then once it detects something going wrong, or there's a defect where the user would want to be alerted. We notify that person … you don't have to babysit these printers, basically.”