An efficient pseudo-inverse approach for damage modeling in the sheet forming process

Parameter identification of a mechanical ductile damage using Artificial Neural Networks in sheet metal forming

“…Among many authors, Brünig and Ricci [2] and Badreddine et al [3] proposed respectively an anisotropic and isotropic damage model to predict the instability phenomena appear in the different mechanical loading states during metal forming. Also the importance of the coupling between the damage and plasticity in numerical simulation has proved by Guo et al [4]. In same context, Lin et al [5] proposed an improvement in the Gurson model in order to will allow investigating in future other mechanical structures made up of ductile porous media.…”

Simulation of axi-symmetrical cold forging process by efficient pseudo inverse approach and direct algorithm of plasticity

“…[11][12][13] for the sheet forming modeling. Some geometrically admissible intermediate configurations are introduced to take into account the loading history.…”

Numerical damage prediction in deep-drawing of sheet metals

“…This leads to high strain localization zones and then internal or superficial micro-defects (ductile damage) (Guo et al, 2004). This damage causes quality problems such as necking and fracture, leading to process interruptions.…”

“…This can be achieved by using coupled approaches in which the damage evolution equation is directly incorporated and coupled with the constitutive equations. Many authors have used damage models based either on continuum damage mechanics (Guo et al, 2004;Lee et al, 1985;Zhu et al, 1992;Saanouni et al, 2000), or on Gurson's theory (Gelin et al, 1985;Onate and Kleiber, 1988;Brunet et al, 1996;Boudeau and Gelin, 2000), among others.…”