Prediction of grain structure after thermomechanical processing of U-10Mo alloy using sensitivity analysis and machine learning surrogate model

Prediction of grain structure after thermomechanical processing of U-10Mo alloy using sensitivity analysis and machine learning surrogate model

Abstract Hot rolling and annealing are critical intermediate steps for controlling microstructures and thickness variations when fabricating uranium alloyed with 10% molybdenum (U-10Mo), which is highly relevant to worldwide nuclear non-proliferation efforts. This work proposes a machine-learning su...

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Bibliographic Details
Main Authors: Yucheng Fu, William E. Frazier, Kyoo Sil Choi, Lei Li, Zhijie Xu, Vineet V. Joshi, Ayoub Soulami
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-14731-8

Internet

https://doi.org/10.1038/s41598-022-14731-8

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