In this paper, we report on the developed and used of finite element methods, have been developed andudused for sheet forming simulations since the 1970s, and have immensely contributed to ensure the successudof concurrent design in the manufacturing process of sheets metal. During the forming operation, theudGurson–Tvergaard–Needleman (GTN) model was often employed to evaluate the ductile damage andudfracture phenomena. GTN represents one of the most widely used ductile damage model. In this investigation,udmany experimental tests and finite element model computation are performed to predict theuddamage evolution in notched tensile specimen of sheet metal using the GTN model. The parameters inudthe GTN model are calibrated using an Artificial Neural Networks system and the results of the tensileudtest. In the experimental part, we used an optical measurement instruments in two phases: firstly duringudthe tensile test, a digital image correlation method is applied to determinate the full-field displacementsudin the specimen surface. Secondly a profile projector is employed to evaluate the localization of deformationud(formation of shear band) just before the specimen’s fracture. In the validation parts of this investigation,udthe experimental results of hydroforming part and Erichsen test are compared with theirudnumerical finite element model taking into account the GTN model. A good correlation was observedudbetween the two approaches.
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