Predictive modeling of ultimate tensile strength in dissimilar friction stir welded aluminum alloys via machine learning approach
The purpose of this study is to evaluate the effectiveness of various machine learning algorithms in predicting the ultimate tensile strength (UTS) of friction stir welded joints. This prediction is crucial for assessing weld quality and integrity. Several investigations are carried out in linear an...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Taylor & Francis Group
2025-12-01
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| Schriftenreihe: | Philosophical Magazine Letters |
| Schlagworte: | |
| Online-Zugang: | https://www.tandfonline.com/doi/10.1080/09500839.2025.2472669 |
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