Experimental and Numerical Characterization of Springback in V-Bending of AISI 304L Stainless Steel Enhanced by Machine Learning Prediction
Accurate prediction of springback is a major challenge in sheet metal forming due to the material's ductility, strain hardening, and deformation-induced martensitic transformation. In this study, an integrated methodology is proposed, combining experimental measurements, finite element analysis, and...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Mouloud Mammeri University of Tizi-Ouzou
2026-03-01
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| Col·lecció: | Journal of Materials and Engineering Structures |
| Matèries: | |
| Accés en línia: | https://revue.ummto.dz/index.php/JMES/article/view/4087 |
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