Multi-parameter optimization of cylinder upsetting using FE and ANN

Cold cylinder upsetting of 16-MnCr5 low-alloy steel is a critical bulk metal forming operation in which energy efficiency and workpiece mechanical integrity are strongly governed by process parameter selection. This study presents a systematic finite element (FE) simulation-based investigation of th...

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Bibliographic Details

Main Authors:	Mohammad A Omari, Ahmad Magableh, Mahmoud Rababah
Format:	Artigo
Language:	Inglês
Published:	IOP Publishing 2026-01-01
Series:	Materials Research Express
Subjects:	open-die forging cold forging cylinder upsetting regression model AI forecasting predict function
Online Access:	https://doi.org/10.1088/2053-1591/ae7d9b
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