Thermal prediction of additive friction stir deposition through Bayesian learning- enabled explainable artificial intelligence

Zhu, Yunhui; Wu, Xiaofeng; Gotawala, Nikhil; Higdon, David M.; Yu, Hang Z.

doi:10.1016/j.jmsy.2023.10.015

Journal of Manufacturing Systems

2024

DOI: 10.1016/j.jmsy.2023.10.015

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Thermal prediction of additive friction stir deposition through Bayesian learning- enabled explainable artificial intelligence

Yunhui Zhu,

Xiaofeng Wu,

Nikhil Gotawala

et al.

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Cited by 4 publications

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Thermal prediction of additive friction stir deposition through Bayesian learning- enabled explainable artificial intelligence

Cited by 4 publications

References 37 publications

In-situ synthesis of dual-phase nitrides and multiple strengthening mechanisms in FeCoCrNiAl0.5 high entropy matrix composite coatings by laser cladding and plasma nitriding

In-situ synthesis of dual-phase nitrides and multiple strengthening mechanisms in FeCoCrNiAl0.5 high entropy matrix composite coatings by laser cladding and plasma nitriding

Additive manufacturing of AA5083/TiN-Diamond hybrid nanocomposite parts via additive friction stir deposition: Metallurgical structure, mechanical, tribological, and electrochemical properties

A review of machine learning (ML) and explainable artificial intelligence (XAI) methods in additive manufacturing (3D Printing)

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