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

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Detalles Bibliográficos
Publicado en:	Metals vol. 15, no. 4 (2025), p. 358
Autor Principal:	Gao Enzhi
Outros autores:	Xue, Di, Li, Yiming
Publicado:	MDPI AG
Materias:	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
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