The recrystallization textures of aluminum alloys can be explained by
a growth selection of grains with an approximate 40 degrees < 111 > or
ientation relationship out of a limited spectrum of preferentially for
med nucleus orientations. Accordingly, recrystallization textures can
be modeled by the multiplication of a function f(g)(nucl) describing t
he probability of nucleation of the various orientations with a functi
on f(g)(grow) representing their growth probability. Whereas the growt
h probability can be accounted for by a 40 degrees < 111 > transformat
ion of the rolling texture, the nucleation probability of the respecti
ve grains is given by the distribution of potential nucleus orientatio
ns, which is known from local texture analysis of rolled aluminum allo
ys to be cube bands, grain boundaries, and second-phase particles. The
contributions of these nucleation sites are determined according to a
n approach to calculate the number of nuclei forming at each site, whi
ch is based on microstructural investigations of the evolution of the
various nucleation sites during deformation. This article describes th
e model for recrystallization texture simulation in aluminum alloys an
d gives examples of recrystallization textures of AA3004 deformed in p
lane-strain compression at different deformation temperatures and stra
in rates.