Combination of VOF and artificial intelligence methods to Simulate free surface of the fluid flow

In this paper, a numerical model for simulation of free surface fluid flows is presented. This method is a combination of smart genetic algorithm and free surface fluid flow tracking algorithm based on donor and acceptor elements. The specification of the new combinational method can be summarized in determining orientation vector and plane constant passing through free surface cells. The proposed algorithm can be easily used in non uniform grids. This numerical model has been applied to simulate some of benchmark flow problems and also compared with the experimental data and other researcher's results. The comparisons indicated that the described numerical model is able to make accurate predictions, and is also simple to apply for many fluid flow problems.