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Experimental and Numerical Characterization of Springback in V-Bending of AISI 304L Stainless Steel Enhanced by Machine Learning Prediction.

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Title: Experimental and Numerical Characterization of Springback in V-Bending of AISI 304L Stainless Steel Enhanced by Machine Learning Prediction.
Authors: Bencherif, Mokhtar1, mokhtar.bencherif@ummto.dz, Saidani, Abdelkrim2, Almansba, Madjid1, Ferhoum, Rabah1, Boudedja, Amar1, Belmihoub, Khellaf2
Source: Journal of Materials & Engineering Structures; Jun2026, Vol. 13 Issue 2, p321-331, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193195528
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Experimental and Numerical Characterization of Springback in V-Bending of AISI 304L Stainless Steel Enhanced by Machine Learning Prediction.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Materials+%26+Engineering+Structures%22">Journal of Materials & Engineering Structures</searchLink>; Jun2026, Vol. 13 Issue 2, p321-331, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193195528
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 321
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      – TitleFull: Experimental and Numerical Characterization of Springback in V-Bending of AISI 304L Stainless Steel Enhanced by Machine Learning Prediction.
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            NameFull: Saidani, Abdelkrim
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            NameFull: Ferhoum, Rabah
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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