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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…
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