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Machine Learning-Based Analysis of Elastic Springback in Bending of SS, Al, and Cu Sheets with Localized Heating

Elastic springback is a critical challenge in sheet metal bending that directly affects dimensional accuracy and manufacturing efficiency. This study presents a comparative experimental and machine learning-based analysis of elastic springback behavior in three widely used sheet metals like stainles...

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Hovedforfatter: Naser A. Alsaleh
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-06-01
Serier:Journal of Manufacturing and Materials Processing
Fag:
bending processes
elastic springback
machine learning prediction
sheet metal forming
direct flame heating
Online adgang:https://www.mdpi.com/2504-4494/10/6/207
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