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

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Bibliographic Details
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
Description
ISSN:09565515
DOI:10.1007/s10845-025-02649-7