Identification of Combined Isotropic–Kinematic Hardening Parameters from Reverse Bending Tests Using Recurrent Neural Networks
Accurate identification of constitutive parameters is essential for reliable finite element simulations of sheet metal forming processes. Conventional inverse identification techniques, such as Finite Element Model Updating (FEMU), generally require iterative optimization procedures involving numerous finite element si...