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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_ | 1864030191598174209 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Fracture and Structural Integrity |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:10262 |
| institution | FRELIP |
| journal_source_facet | Fracture and Structural Integrity |
| 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 Mechanical Engineering Engineering & Technology |
| sub_discipline_display | Mechanical Engineering |
| sub_discipline_facet | Mechanical Engineering |
| subject_display | — — — — — Mechanical Engineering Mechanical Engineering Engineering & Technology — — — — — Mechanical Engineering Mechanical Engineering Engineering & Technology |
| subject_facet | — — — — — Mechanical Engineering Mechanical Engineering Engineering & Technology |
| title | Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach |
| title_auth | Predicting fatigue limits of defective A356-T6 and A357-T6 cast aluminum alloys using a hybrid empirical–machine learning approach |
| 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_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 Mechanical Engineering Engineering & Technology |
| url | https://www.fracturae.com/index.php/fis/article/view/5686 |