a b s t r a c tThe formation of Cu-Mg clusters in an Al-Cu-Mg aluminum alloy is observed by small-angle X-ray scattering during cooling. Cooling rates are choosen to mimic the different conditions obtained at the surface and in the center of large forgings. Clusters of 0.45 nm start to form at 250°C. Their volume fraction depends strongly on the cooling rate and the amount of excess vacancies. The difference in cluster kinetics explains the difference in rapid hardening across large forgings.Ó 2015 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.Age-hardenable Al-Cu-Mg alloys are widely used for aerospace and engineering applications owing to their high specific strength and good corrosion resistance. Their age hardening response is characterized by two distinct stages. The first stage is defined by a fast initial increase in strength, which is known as rapid hardening. It was shown by 3D atom probe tomography (APT) and small-angle X-ray scattering (SAXS) experiments that the rapid hardening is associated with the formation of Cu-Mg clusters [1][2][3][4]. The second rise to peak hardness is generally ascribed to the formation of the equilibrium S phase (Al 2 CuMg) [4,5].For industrial applications, the Al-Cu-Mg alloys are commonly processed as large components such as forgings or plates. The mechanical properties are tailored by the age-hardening treatment, which also involves a quenching step. Thermal gradients decrease from the surface to the center and give rise to residual stresses (RS) [6]. The magnitude of the as-quenched RS can be very high and even exceed the as-quenched strength of the materials [6,7]. In the case of Al-Zn-Mg-Cu alloys, the high as-quenched RS are caused by the formation of fine hardening precipitates that form during quenching of large components and thereby increase the yield strength of the material [8,9].In order to predict the RS formation in industrial components during quench, the changes of the nanostructure during cooling conditions close to industrial practice needs to be characterized as they highly impact the yield strength and thus the internal stress generation. Further, the influence of excess vacancies on precipitation during cooling needs to be explored. This can be done by adapting the cooling rates at high temperature, which influence the excess vacancy concentration due to annihilation on defects.SAXS is a useful tool to monitor precipitation phenomena during fast time and temperature changes given that a sufficiently high electron density contrast between the precipitate and matrix exists [4,8,10]. SAXS provides the means to collect information on the size and volume fraction of the precipitates that can then be directly compared to predictions of thermodynamic-based precipitation models [11,12]. These models can be coupled with macroscopic finite-element RS simulations to better predict the residual stress formation during the processing of industrial components [9,13] as part of through-process modeling.This work investigates the Cu-Mg cluster ...