The problem of the crystallographic texture evolution in the process of cold stamping of aluminum alloys is considered on the example of the drawing process. For the study, an X-ray diffraction texture analysis of a cold-rolled strip made of a low-alloy aluminum alloy 8011 was carried out. Then, two caps were stamped from the strip with different degrees of deformation, for which the texture composition was also determined. The drawing process of both caps was calculated in the Ansys-LS-Dyna software package in order to establish the stress-strain state. On the basis of these calculations, further modeling of the rotation of texture components characteristic of aluminum after cold deformation was carried out in the TEXT_LATENT_HRD software product. Experimental data showed significant differences in the texture composition of cold-rolled strip and caps. After cold rolling, three typical textures of brass (Bs), S, and Cu, characteristic of the deformed state, are noted; these orientations are manifested with almost the same intensity. At the same time, after drawing, a Goss texture is observed, which is especially pronounced in a high cap; the bs texture practically disappears, and the β textures rotate towards the S orientation. Modeling shows that the components have different stability during the drawing process, for example, Goss and S textures practically do not change their intensity. In this case, the Bs-texture is unstable, the orientations in the space of Euler angles begin to shift from it to the Goss-texture. Such a change differs from that observed during cold rolling in that, as a result of the rotation of the crystal lattice, the material with the Bs orientation acquires the S orientation. Differences in the evolution of texture components during drawing and cold rolling are explained by the difference in the normalized velocity gradients, which has a different effect on the rotation of the crystal lattice at equal plastic deformation by sliding for different crystallographic orientations.The study was supported by a grant from the Russian Science Foundation, project 18-79-10099-P, https://rscf.ru/project/21-79-03041/.
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