Abstract
Prediction of the yield loci based on crystal plasticity material models in combination with an efficient solver, the FFT-based spectral solver, is the main focus of this study. Results of the CP-based yield locus modeling are compared with the well-established macroscopic model YLD2000-2d for various materials; steel as well as aluminum alloys. For this purpose, uniaxial tensile tests in various directions as well as biaxial tests were performed. Further, the influence of grain size in crystal plasticity simulations is often neglected due to the fact that most grains are assumed to have similar size or the influence of grain size is directly mapped within material parameters. For materials containing significantly different grain sizes, this approach does not apply and therefore, a suitable model for crystal plasticity laws is needed. In the framework of this research, an adapted Hall-Petch phenomenological model is implemented in the crystal plasticity open-source code DAMASK. The spectral solver in combination with the phenomenological constitutive laws allows computing of numerical results in short time, which is a key factor for the development of new materials and industrial research.
Highlights
The need and requirements for more safe and light structures has led to developing of new materials
Prediction of the yield loci based on crystal plasticity material models in combination with an efficient solver, the FFT-based spectral solver, is the main focus of this study
Results of the CP-based yield locus modeling are compared with the well-established macroscopic model YLD2000-2d for various materials; steel as well as aluminum alloys
Summary
The need and requirements for more safe and light structures has led to developing of new materials. Most metal forming process like e.g. deep drawing, are simulated using various finite element software. In this context, the focus of the research is the development of material models, enabling the optimization of material properties as well as developing new materials. This relationship requires the shear strain rate γα of a slip system described by the slip direction mα and its normal nα. The evolution equation for γα is given by γα = γ 0 τα τcα n · sgn(τ α). A popular evolution equation for the critical shear stress is given by (3).
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