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The metal forming technology is (mainly due to the automotive industry) one of the most dynamically developing branch of the engineering industry. Continuous effort to achieve the top technological level and car´s safety factor at keeping the low price level means necessity to still implement into own production process also the newest mathematical models of these technological processes. Thus these days represents utilization of numerical simulations an essential part of the car shape lay-out design, determination of the basic technological operations and also e.g. stamping tools shape optimization. Alongside it implementation of the new materials into production reveals necessity to develop new and more precise computational models of materials deformation behavior as well as models determined for the spring-back prediction. Nowadays in the branch of the metal forming technologies there are several truly top software among which also belongs software PAM-STAMP 2G. In this article is evaluated influence of the computational model on the numerical simulation accuracy by PAM-STAMP 2G at the spring-back prediction. For the deformation analysis was chosen corrosion-proof material DIN 1.4301 and for the spring-back prediction were used two anisotropic computational models termed as Hill 48 and Vegter in combination with the hardening kinematic model termed as YOSHIDA UEMORI. Accuracy of the measured results from the individual computational models is evaluated by the compliance of the carried out experiment and results from the numerical simulations. For the own experiment was chosen test where the material is drawn over the drawbead and drawing edge.
Keywords: Spring-back, Numerical Simulation, Yoshida Hardening Model, Stainless sheet© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.