BP neural network-based springback predictions during creep-age forming of aluminum alloy 2219
Published online on June 10, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, Ahead of Print.
To address the challenge of accurately predicting springback during creep-age forming (CAF) of aluminum alloy 2219, a rapid prediction method that integrates a creep-aging constitutive model, finite element analysis (FEA), and a back-propagation neural ...
To address the challenge of accurately predicting springback during creep-age forming (CAF) of aluminum alloy 2219, a rapid prediction method that integrates a creep-aging constitutive model, finite element analysis (FEA), and a back-propagation neural ...