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Predicting wall thickness changes in cold forging processes: an integrated FEM and neural network approach.

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Title: Predicting wall thickness changes in cold forging processes: an integrated FEM and neural network approach.
Authors: Ilic, Sasa1, ilic.sasa@fh-swf.de, Karaman, Abdulkerim1, karaman.abdulkerim@fh-swf.de, Pöppelbaum, Johannes2, poeppelbaum.johannes@fh-swf.de, Reimann, Jan Niclas2, reimann.janniclas@fh-swf.de, Marré, Michael1, marre.michael@fh-swf.de, Schwung, Andreas2, schwung.andreas@fh-swf.de
Source: Journal of Intelligent Manufacturing; Jun2026, Vol. 37 Issue 6, p2445-2467, 23p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193785498
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Predicting wall thickness changes in cold forging processes: an integrated FEM and neural network approach.
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  Data: <searchLink fieldCode="AU" term="%22Ilic%2C+Sasa%22">Ilic, Sasa</searchLink><relatesTo>1</relatesTo>, <i>ilic.sasa@fh-swf.de</i><br /><searchLink fieldCode="AU" term="%22Karaman%2C+Abdulkerim%22">Karaman, Abdulkerim</searchLink><relatesTo>1</relatesTo>, <i>karaman.abdulkerim@fh-swf.de</i><br /><searchLink fieldCode="AU" term="%22Pöppelbaum%2C+Johannes%22">Pöppelbaum, Johannes</searchLink><relatesTo>2</relatesTo>, <i>poeppelbaum.johannes@fh-swf.de</i><br /><searchLink fieldCode="AU" term="%22Reimann%2C+Jan+Niclas%22">Reimann, Jan Niclas</searchLink><relatesTo>2</relatesTo>, <i>reimann.janniclas@fh-swf.de</i><br /><searchLink fieldCode="AU" term="%22Marré%2C+Michael%22">Marré, Michael</searchLink><relatesTo>1</relatesTo>, <i>marre.michael@fh-swf.de</i><br /><searchLink fieldCode="AU" term="%22Schwung%2C+Andreas%22">Schwung, Andreas</searchLink><relatesTo>2</relatesTo>, <i>schwung.andreas@fh-swf.de</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>; Jun2026, Vol. 37 Issue 6, p2445-2467, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193785498
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10845-025-02649-7
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 23
        StartPage: 2445
    Titles:
      – TitleFull: Predicting wall thickness changes in cold forging processes: an integrated FEM and neural network approach.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Ilic, Sasa
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          Name:
            NameFull: Karaman, Abdulkerim
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            NameFull: Pöppelbaum, Johannes
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            NameFull: Reimann, Jan Niclas
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            NameFull: Marré, Michael
      – PersonEntity:
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            NameFull: Schwung, Andreas
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          Dates:
            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 09565515
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              Value: 37
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              Value: 6
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            – TitleFull: Journal of Intelligent Manufacturing
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