Springback Angle Prediction for High-Strength Aluminum Alloy Bending via Multi-Stage Regression

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Bibliografiske detaljer
Udgivet i:	Metals vol. 15, no. 4 (2025), p. 358
Hovedforfatter:	Gao Enzhi
Andre forfattere:	Xue, Di, Li, Yiming
Udgivet:	MDPI AG
Fag:	China Bend strength Software Accuracy Datasets Investigations Material properties Diameters Metal forming Elastoplasticity Regression models Optimization Wall thickness Variance analysis Machine learning Bending stresses Defects Springback Simulation Artificial intelligence Prediction models Deformation Aluminum alloys High strength alloys Algorithms Alloys Aluminum base alloys Landing gear
Online adgang:	Citation/Abstract Full Text + Graphics Full Text - PDF
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