Modelling of Equiaxed Grain Growth in Solidification Process

In the last decade problem of dendritic grain structure prediction has been intensively analysed. Several approaches have been proposed including the phase field method, methods related to the Monte Carlo model, cellular automata and finite element methods as well as hybrids of above [13,6,2]. At the same time, to understand a physical background of the process, several experimental studies have been carried out [1]. Recently several approaches based on the cellular automata have been proposed. In [3] Coxe and Reiter created simple fuzzy automata that allow simulating the growth of snowflakes but without physical basis. In [12] Wang et al. proposed model, also based on cellular automata, of microstructural development and primary spacing by both branching and overgrowth mechanism. The most advanced solution has been developed by M. Rappaz and Gandin in [4,8]. In this method the processes of nucleation and growth are simultaneously considered resulting in very accurate model. In this paper we present object-oriented implementation of the abovementioned Rappaz and Gandin approach. This software has been created to extend a functionality