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Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach
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| Published in: | Fracture and Structural Integrity |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868552840004239361 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Fracture and Structural Integrity |
| description | |
| discipline_display | Mechanical Engineering |
| discipline_facet | Mechanical Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:62559 |
| institution | FRELIP |
| journal_source_facet | Fracture and Structural Integrity |
| last_indexed | 2026-06-20T21:27:21.959Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach Mechanical Engineering General Mechanical Engineering |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Mechanical Engineering General Mechanical Engineering |
| subject_facet | Mechanical Engineering General Mechanical Engineering |
| title | Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach |
| title_alt | Predicción de límites de fatiga de aleaciones de aluminio fundido defectuosas A356-T6 y A357-T6 mediante un enfoque híbrido empírico-aprendizaje automático Prédiction des limites de fatigue des alliages d'aluminium moulés A356-T6 et A357-T6 défectueux à l'aide d'une approche hybride empirique-apprentissage automatique Previsão de Limites de Fadiga de Ligas de Alumínio Fundido Defeituosas A356-T6 e A357-T6 Usando uma Abordagem Híbrida Empírica-Aprendizado de Máquina |
| title_auth | Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach |
| title_es_txt | Predicción de límites de fatiga de aleaciones de aluminio fundido defectuosas A356-T6 y A357-T6 mediante un enfoque híbrido empírico-aprendizaje automático |
| title_fr_txt | Prédiction des limites de fatigue des alliages d'aluminium moulés A356-T6 et A357-T6 défectueux à l'aide d'une approche hybride empirique-apprentissage automatique |
| title_full | Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach |
| title_fullStr | Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach |
| title_full_unstemmed | Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach |
| title_pt_txt | Previsão de Limites de Fadiga de Ligas de Alumínio Fundido Defeituosas A356-T6 e A357-T6 Usando uma Abordagem Híbrida Empírica-Aprendizado de Máquina |
| title_short | Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach |
| title_sort | predicting fatigue limits of defective a356-t6 and a357-t6 cast aluminum alloys using a hybrid empirical–machine learning approach |
| topic | Mechanical Engineering General Mechanical Engineering |
| url | https://www.fracturae.com/index.php/fis/article/view/5686 |