Research On Parameter Adaptation Of Cavitation Models Based On OpenFOAM

With the rapid development of computer technology,CFD method has become one of the most important methods to study cavitating flows.In the numerical simulation of cavitation flows,the parameters of cavitation model affect the accuracy of simulation results.The existing cavitation model parameter optimization method can only obtain fixed parameter values suitable for certain operating conditions,and cannot meet the needs of all operating conditions.Considering the potential relationship between the optimal parameters of cavitation model and the operating conditions,this paper carried out research on the parameter adaptation of cavitation models.The main research contents and achievements are as follows:The parameter adaptation problem of cavitation models and the corresponding solution are defined and formally described for the first time.The parameter adaptation method for cavitation models based on radial basis function network is proposed.Based on OpenFOAM,the cavitation model parameter adaption platform was developed considering the modular idea.The platform has horizontal and vertical parallelism,making full use of the powerful computing capacity of multi-processor system.The parameter adaptation experiment based on Zwart cavitation model was carried out for steady-state cavitating flows around two-dimensional NACA66(MOD)hydrofoil.Mesh independence verification was carried out under the condition of fully-wetted flow,and the influence of mesh resolution on simulation results was excluded.The overall results show that the default parameter and the Morgut tuning parameter have similar accuracy,and the predicted parameter is 35% higher than the default parameter and the Morgut tuning parameter.