Additive Manufacturing

JAN 2018

ADDITIVE MANUFACTURING is the magazine devoted to industrial applications of 3D printing and digital layering technology. We cover the promise and the challenges of this technology for making functional tooling and end-use production parts.

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Page 3 of 43

JANUARY 2018 Additive Manufacturing 2 22 Where AM Meets AI 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. By Peter Zelinski 28 Machine Learning Applied to Metal Powder A computer vision system that has learned to classify metal powders could speed material qualification and advance machine learning in additive manufacturing. By Stephanie Hendrixson 32 What GE's Machine Learning Ecosystem Will Mean for AM At GE's Global Research Center in upstate New York, engineers join forces to build a digital library of additive research. By Brent Donaldson 12 Taking Shape • The Post-Production Challenge for Additive Manufacturing • AM Design May (Finally) Launch the Aerospike Engine IN EVERY ISSUE Something to Add 06 News 08 Technology Review 36 Ad Index 39 Check This Out 40 Market Data Review 17 Smartforce 18 MFG Advocate 20 FEATURES January 2018 Vol. 7 No. 1 22 32 28 ABOUT THE COVER: These various test specimens were made for evaluation by the ADAPT Center at the Colorado School of Mines. Test parts such as these are made with many different combinations of variables in the same build, including (as can be seen here) many different angles relative to the recoater blade. Gathering data on a large quantity of process inputs and measured outputs will allow machine learning to be used to deduce the "rules" for successful additive manufacturing. Story on page 22 . Additive Manufacturing is a registered trademark of Gardner Business Media, Inc. @AddMfgMedia

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