Stochastic models have been developed for the simulation of grain stru
cture formation during the solidification of metallic alloys. Nucleati
on is assumed to occur randomly in space according to a prescribed dis
tribution of nucleation sites. For dendritic alloys, the hypothesis of
a random orientation of the [100] crystallographic directions of the
new nuclei is also made. A cellular automaton (CA) and an interface-tr
acking technique are used to follow the growth-impingement of dendriti
c and eutectic grains, respectively. The influence of the local therma
l conditions, namely the thermal gradient and the velocity of the isot
herm, and of the nucleation parameters on the resulting grain structur
es is assessed. In particular, it is shown that the asymmetry of the g
rains along the thermal gradient is an increasing function of the ther
mal gradient and nucleation undercooling and a decreasing function of
the velocity and grain density. The presence of the outer equiaxed zon
e and the transition from columnar to equiaxed microstructures can als
o be explained using such models.