Multisite model prediction of texture induced anisotropy in brass

Abstract

Twinning is commonly observed above a certain level of deformation at room temperature in face centred cubic (fcc) metals with low stacking fault energy (SFE). Twins carry a part of the plastic deformation and they act as barriers to dislocation motion, leading to anisotropic hardening already at the crystal level. The influence of deformation twinning on the development of texture and the related anisotropy and hardening is investigated in this study by means of experimental observations as well as an advanced crystal plasticity model. The latter "multisite" model takes account of short range interaction among adjacent grains. Anisotropy is assessed based on mechanical tests in uniaxial tension and torsion. When simulation of torsion rely on a simplified one-dimensional finite element modeling, the crystal plasticity model yields qualitative predictions of the strengthening, the texture development and the Swift effect. More accurate predictions would require three-dimensional simulation of the torsion test.

Torsional fatigue mechanisms of an A357-T6 cast aluminium alloy

“…The spatial resolution of the EBSD maps is 5µm x 5 µm per pixel.The EBSD results are used to investigate the slip activity (γ s ) of each potential slip system in the investigated grains. The Taylor model [26][27][28][29] assumes iso-deformation of all grains. Such simple assumption is known as a reliable starting point for the analysis of plasticity and texture [26,29], yet violating equilibrium of stress at the grain boundaries.…”

Automatic processing of an orientation map into a finite element mesh that conforms to grain boundaries

“…Nowadays, many laboratories have access both to advanced microstructure characterization techniques and to numerical models, such as crystal plasticity based finite element modeling (CPFEM) [1][2][3][4][5][6][7][8]. Yet, it remains a tedious and often challenging task to process an experimental image of the material microstructure into suitable input for computational models.…”