The characteristic recrystallization texture components of cold rolled Al-alloys can be
traced back to a growth selection of grains with an approximate 40º 〈111〉
orientation
relationship out of a limited spectrum of preferentially formed nucleus orientations.
Accordingly, recrystallization textures can be modeled by the multiplication of a function
f(g)nucl describing the probability of nucleation of the various orientations and a function
f(g)grow representing their growth probability.Whereas the growth probability can be accounted for by a 40 111 transformation of the
rolling texture, the nucleation probability of the respective grains is given by the distribution
of potential nucleus orientations, which is known from local texture analysis for the most
important nucleation sites in cold rolled Al-alloys, cube-bands, grain boundaries and
second-phase particles. If several nucleation sites are active simultaneously, the nucleation
probabilities have to be weighted according to their respective proportions. For that purpose,
the numbers of nuclei forming at the various nucleation sites were calculated according
to a model approach proposed by Vatne et al. (Acta Mater 44, 1996, 4463–4473).The paper describes the model for recrystallization texture simulation in Al-alloys and
gives examples of recrystallization textures simulated regarding a variation of different
microstructural parameters to demonstrate the predictive power of the model.
