Achieving cost-efficient superalloy powder manufacturing using machine learning

High-performance, high-quality Ni-Co-based superalloy powders are promising aircraft engine raw materials. Using machine learning, a NIMS team has succeeded in speedily determining the optimum parameters for manufacturing these types of powders at high yields. The team then demonstrated that these parameters actually led to the low-cost manufacturing of powders suitable for high-pressure turbine disk production. The use of this technique may significantly reduce the cost of practical, large-scale manufacturing of superalloy powders.

from News on Artificial Intelligence and Machine Learning https://ift.tt/39g0qgv

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