AI-guided experiments identify low-power DED parameters for NASA’s GRCop-42 alloy

AI-guided experiments identify low-power DED parameters for NASA’s GRCop-42 alloy

Researchers at Washington State University and the University of Minnesota have developed an AI-guided experimental design method that identified feasible Directed Energy Deposition (DED) parameters for GRCop-42 at laser powers as low as 500 W. Called Bayesian Experimental design for Additive Manufacturing (BEAM), the method uses previous print results to select promising parameter combinations for…

AI Searched 100 Million Possibilities and Found a Cheaper Way to 3D Print a NASA Rocket Alloy

Image Courtesy: Shutterstock Researchers at Washington State University have used artificial intelligence to identify a faster and potentially cheaper way to 3D print a high-performance NASA-developed metal alloy. The system found successful printing configurations from a search space containing more than 100 million possibilities while requiring just 40 physical experiments. The breakthrough could make GRCop-42, […] The post AI Searched 100 Mil…