A Yield Stress and Work Hardening Model of Al-Mg-Si Alloy Considering the Strengthening Effect of β” and β’ Precipitates

Abstract

Precipitates are the primary source of strength for the Al-Mg-Si alloy. Aluminum alloy in the peak-aged state mainly contains β” and β’ precipitates. Most of the literature has only considered the strengthening effect of β”. Here, we develop a single-crystal intensity model including both precipitate enhancement effects for the first time. This model was subsequently implemented into a crystal plastic finite-element method to model the uniaxial tensile process of a polycrystalline aggregate model of Al-Mg-Si alloy. The simulation results for uniaxial stretching are in good agreement with the experimental results, confirming that the constitutive parameters used for the single-crystal strength model with two precipitates are based on realistic physical implications. Furthermore, by comparing the uniaxial tensile simulation results of a peak-aged alloy considering the actual precipitated phase composition of the alloy with those assuming that the precipitated phase is only the β” phase, the predicted tensile strength of the former is around 5.65% lower than that of the latter, suggesting that the two kinds of precipitation should be separately considered when simulating the mechanical response of Al-Mg-Si alloy. It is highly expected that the present simulation strategy is not limited to Al-Mg-Si alloys, and it can be equally applied to the other age-enhanced alloys.

Effect of grain orientation distribution on the mechanical properties of Al-7.02Mg-1.78Zn alloys

“…The RVE is assigned to six orientation distributions. These distributions include commonly observed texture orientations (Zheng et al. , 2023): Brass (110)[11¯0], Copper (112)[111¯], Cube (001)[100], Goss (011)[100], and S (123)[634¯], along and random distribution.…”

“…The RVE is assigned to six orientation distributions. These distributions include commonly observed texture orientations (Zheng et al, 2023): Brass ð110Þ½110, Copper ð112Þ½111, Cube ð001Þ½100, Goss ð011Þ½100, and S ð123Þ½634, along and random distribution. Each grain within an orientation distribution is constrained to a rotation angle of [À58, þ58] relative to its corresponding texture orientation.…”