Prediction of Springback using the Machine Learning Technique in high-tensile strength sheet metal during the V-Bending Process.

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Title: Prediction of Springback using the Machine Learning Technique in high-tensile strength sheet metal during the V-Bending Process.
Authors: Wasif, Muhammad1, Rababah, Mahmoud2 m_rababah@hu.edu.jo, Fatima, Anis1, Baig, Saad Ur Rehman1
Source: Jordan Journal of Mechanical & Industrial Engineering. Dec2023, Vol. 17 Issue 4, p481-488. 8p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Jordan+Journal+of+Mechanical+%26+Industrial+Engineering%22">Jordan Journal of Mechanical & Industrial Engineering</searchLink>. Dec2023, Vol. 17 Issue 4, p481-488. 8p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=174214357
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      – Type: doi
        Value: 10.59038/jjmie/170403
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 481
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      – TitleFull: Prediction of Springback using the Machine Learning Technique in high-tensile strength sheet metal during the V-Bending Process.
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            NameFull: Wasif, Muhammad
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            NameFull: Rababah, Mahmoud
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            NameFull: Fatima, Anis
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              M: 12
              Text: Dec2023
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              Y: 2023
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              Value: 17
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            – TitleFull: Jordan Journal of Mechanical & Industrial Engineering
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