Parameter optimization and analysis of a filter-based density correction model

Turbulence model has great effect on the prediction precision of cavitating flows. A systematic investigation based on the surrogate modeling techniques is conducted to assess and improve the performance of a filter-based density correction model (FBDCM), which is suggested for the computations of unsteady cavitating flows. Based on the surrogate model, global sensitivity analysis is conducted to assess the role of model parameters. The results show that, the performance of the filter-based density correction model is affected more by model parameter C₂, which is used to regulating the proportion of FBM model and DCM model based on local mixture density, so that it will help to limit the over-prediction of the turbulent eddy viscosity in the cavitating regions on the foil wall and in the wake. Based on the recommended model parameter values, better prediction of the cavitating flows can be attained.