Application of the cellular automata for obtaining pitting images during simulation process of their growth

Abstract

The paper describes obtaining pitting images in processes of their growth and metal surface destruction simulation by cellular automata (CA) method application. Dynamic process of destruction of the analyzed areas is shown. New algorithm of simulation and a series of evolution local rules for cells of automaton by image reproduction are presented. Modeling using cellular automata enables a creation of the simulation of dynamic systems with high correctness of physics processes, including the micro-level. Nowadays there exist a lot of problems dealing with the formation and growing of pittings because of lack of appropriate methods which enable to monitor micro-scale of destruction for such material like austenitic stainless steels. Considering these factors, it can be argued that this approach is extremely effective, along with others. It was found that the use of cellular automata for modeling is more effective in comparison with existing methods: Monte Carlo method, finite volume method and voxel method.