Integrating texture evolution into a deep-drawing simulation via viscoplastic self-consistent model
Year: 2025
Type: article
Abstract: New fields of application in the area of electric mobility (e.g. battery housings, …) justify in-depth (numerical) investigations of semi-finished products. Due to strongly directional deformation processes , such as rolling and extrusion, materials develop anisotropic mechanical properties (i.e. texture, …). Texture can have a considerable effect on the results of follow-up processes, such as deep-drawing of sheet metals. It can therefore be necessary to consider the anisotropic material behavior during the forming process, which can be realized by texture-based finite-element (FE) method simulations. However, current applications of FEM in forming simulations of industrial-sized parts either neglect anisotropic material properties or incorporate a fixed texture by special material models. This is caused by the considerable numerical efforts necessary for full-field solutions, such as crystal plasticity FE (CPFE). To address this major issue, we use a mean-field approach by implementing a viscoplastic self-consistent (VPSC) model into a FE simulation framework, which is numerically more efficient than full-field methods. Nevertheless, the number of considered grains per finite element is a limiting factor. Therefore, our work studies the influence of a reduced, i.e. clustered, number of input grains on the simulation performance. This is done via a comparison of simulation results for cup drawing as well as the respective numerical effort needed.
Source: Materials Characterization
Institution: AIT Austrian Institute of Technology GmbH
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,320
OpenAlex ID: W4409155089