Alloy-dependent rolling texture simulation of aluminium alloys with a grain-interaction model

Large strain work hardening of aluminum alloys and the effect of mg in solid solution

“…Some differencesw ith solute are also seen ( Figure 5) as the brass component becomes stronger whent he Mg content increases from 0t o3pct, an effect explained by shear banding [31,32] and by the influence of the increased strengthand work hardeningonshort-range grain interactions. [33] Afurther increaseinMgcontent (AA5182) gives ad ensity of shear bands so high that the texture becomes randomized. However,t he texture differences are so small that the variations in Taylorf actor calculated from the measured textures havean egligible effect on the workh ardening in stage IV.A ssuming an averageT aylor factor of M 5 3.07 for all alloys and rolling strains gives an error of less than 5p ct from the results obtainedu sing the MTM-FHM software [27] in calculating the Taylor factorson the basiso ft he measured textures.…”

A model for the thermodynamics of and strengthening due to co-clusters in Al–Mg–Si-based alloys

“…Using the Hall-Petch relation with a Hall-Petch constant taken from [34], the  gb value is only about 4 MPa. (Where specific data on grain size is lacking, it is taken as 50 m, a typical value for extruded and rolled alloys with Mn [35].) The alloys considered in this work are all solution treated and hence the dislocation densities are low.…”

An Anisotropic Behaviour Analysis of AA2024 Aluminium Alloy Undergoing Large Plastic Deformations

“…Both criteria (5) and (6) have been shown to lead to the same results. From the Taylor model, relaxed constraints models have also been developed for more accurate predictions of texture evolutions ((Hirsch & Lücke, 1988)), (Engler et al, 2005), (Molinari et al, 1994)). More complex models which take into account the active slip systems of the material and the interaction between the grains have been applied to the characterization of anisotropy, notably the viscoplastic self consistent models (VPSC).…”