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In the present work computer simulations using a 3-D Potts Monte Carlo model are demonstrated and discussed as a tool to study the effects of a number of parameters related to the deformation conditions as well as process and material parameters related to the nucleation and growth conditions of recrystallisation, such as e.g. second phase particles, which may influence the kinetics and texture of recrystallisation. The MC simulations have been combined with a deformation texture model to provide the deformation structure from which the recrystallisation nucleates and models which provide the relative proportions of certain nucleation mechanisms and their orientation spectrum. All together this gives a simulation tool which allows for a multitude of numerical experiments and the possibility to study parameter relationships which are often not easily available from experiments. The potential of such a simulation tool is discussed in terms of a few generic examples.

Simulation of mobility-driven abnormal grain growth in the presence of particles in a 3D Potts Monte Carlo model has been investigated, and even though the driving force in this case is identical to normal grain growth, Zener pinning does not occur. Instead the particles seem merely to have a small inhibiting effect on the number of abnormal grains, and this effect only has a noticeable influence for volume fractions of particles above 5 vol%.

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The present simulations have clearly demonstrated that the kinetics, as derived directly from the 3D Potts Monte Carlo simulations, deviate strongly from the classical JMAK theory. The Avrami plots exhibit a strong initial transient and the Avrami exponents are far from constant and generally much lower than predicted by the classical JMAK theory. However, by introducing a suitable time delay,t0, due to a non-zero volume fraction of recrystallized grains at the start-up of the simulations, this initial transient can be removed and the Avrami plots are made close to linear at the same time as the Avrami exponent is in better agreement with theory.