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Keywords: Fatigue lifetime
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Journal Articles
Low-cycle fatigue life assessment of SAC solder alloy through a FEM-data driven machine learning approach
Available to PurchaseVicente-Segundo Ruiz-Jacinto, Karina-Silvana Gutiérrez-Valverde, Abrahan-Pablo Aslla-Quispe, José-Manuel Burga-Falla, Aldo Alarcón-Sucasaca, Yersi-Luis Huamán-Romaní
Journal:
Soldering & Surface Mount Technology
Soldering & Surface Mount Technology (2024) 36 (2): 69–79.
Published: 28 September 2023
... structural components. The stacked ML model, trained iteratively, demonstrates its effectiveness by producing precise fatigue lifetime predictions with a RMSE of 2.41% and an “R2” value of 0.975. The study also identifies distinct outlier behaviors associated with different structural...
