Machine learning powered predictive modelling of complex residual stress for nuclear fusion reactor design

Fusion In-vessel components, assembled and maintained using laser welding, one of the most promising techniques, exhibit complex distributions of residual stress, microstructures, and material properties. These residual stresses can compromise structural integrity and lifespan of critical components...

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Bibliographic Details
Main Authors: Bin Zhu, Nathanael Leung, Brandon Steel, David England, Yinglong He, Andrew J. London, Hannah Zhang, Michael Gorley, Yiqiang Wang, Mark J. Whiting, Tan Sui
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Materials & Design
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Online Access:http://www.sciencedirect.com/science/article/pii/S0264127524008244
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