Abstract
In this article, the formulation of a mullizone adaptive grid-generation technique (MAGG) is presented. The MAGG technique is developed for efficient simulations of various transport phenomena occurring on irregularly shaped domains, and in regions with moving and/or free boundaries. Utilizing a variational optimization approach, MAGG provides boundary-fitting capability, and discretionary control over grid distribution, as well as local and global orthogonality. MAGG permits the problem domain to consist of different zones, with curvilinear zonal boundaries that may move (due to change of phase or chemical reaction) with time. As such, it may be made to distribute the grid nodes adoptively in response to the development of the solution (being done on the grid), and according to the evolution of the problem domain or motion of Us boundaries. Results of numerical simulations of a few practical examples in materials processing are presented to demonstrate these features.

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