Residual stress prediction in laser shock peening induced LD-TC4 alloy by data-driven ensemble learning methods

Li, Butong; Zhu, Junjie; Zhao, Xufeng; Yao, Hongbing

doi:10.1016/j.optlastec.2024.110946

Optics & Laser Technology

2024

DOI: 10.1016/j.optlastec.2024.110946

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Residual stress prediction in laser shock peening induced LD-TC4 alloy by data-driven ensemble learning methods

Butong Li,

Junjie Zhu,

Xufeng Zhao

et al.

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Multiscale simulation combined with experimental investigation on residual stress and microstructure of TC6 titanium alloy treated by laser shock peening

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Residual stress prediction in laser shock peening induced LD-TC4 alloy by data-driven ensemble learning methods

Cited by 4 publications

References 59 publications

Predicting defects in SLM-produced parts based on melt pools clustering analysis

Predicting defects in SLM-produced parts based on melt pools clustering analysis

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

Multiscale simulation combined with experimental investigation on residual stress and microstructure of TC6 titanium alloy treated by laser shock peening

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