  Depending on the pH value and salt concentration of Al2O3 suspensions
different microstructures can form. Especially the clustered one is of major
interest for industrial purposes as found in the production of ceramics. In
this paper we investigate the clustered microstructure by means of a coupled
Stochastic Rotation Dynamics (SRD) and Molecular Dynamics (MD) simulation. In
order to gain statistics within a system containing numerous clusters, large
simulation volumes are needed. We present our parallel implementation of the
simulation algorithm as well as a newly developed cluster detection and
tracking algorithm. We then show first results of measured growth rates and
cluster size distributions to validate the applicability of our method.
