Machine learning technology radically improves accuracy of 3D printing

By Jessica Miley, for Interesting Engineering

Feb 26, 2019

Get Plant Services delivered to your inbox Monday through Friday! Sign up for  Plant Services' complimentary Smart Minute (Monday-Thursday) and Smart Digest  (Friday) e-newsletters to get maintenance and reliability know-how you can put  to use today, plus the latest manufacturing news from around the Web, white  papers, and more. Learn more and subscribe for free today.

A machine learning tool is being developed by Purdue University to increase the accuracy in additive manufacturing. The resulting research could increase precision and reduce testing time.

“We’re really taking a giant leap and working on the future of manufacturing,” said Arman Sabbaghi, an assistant professor of statistics in Purdue’s College of Science, who led the research team at Purdue with support from the National Science Foundation.

“We have developed automated machine learning technology to help improve additive manufacturing. This kind of innovation is heading on the path to essentially allowing anyone to be a manufacturer.” Additive manufacturing like 3D printing has changed the way many products are made and assembled.

But an ongoing issue has always been accuracy, especially when it comes to parts that need to fit together with extreme precision. The new technology addresses this downfall.

Read the full story.

 

Show Comments
Hide Comments

Join the discussion

We welcome your thoughtful comments.
All comments will display your user name.

Want to participate in the discussion?

Register for free

Log in for complete access.

Comments

No one has commented on this page yet.

RSS feed for comments on this page | RSS feed for all comments