The numerical simulation of unsteady cavitation flows is sensitive to the selected models and associated parameters. Consequently, three Reynolds Average Navier-Stokes (RANS) turbulence models and the Zwart cavitation model were selected to assess their performance for the simulation of cloud cavitation on 2D hydrofoils. The experimental cavitation tests from a NACA65012 hydrofoil at different hydrodynamic conditions were used as a reference to tune the modeling parameters and the experimental tests from a NACA0015 were finally used to validate them. The effects of near wall grid refinement, time step, iterations and mesh elements were also investigated. The results indicate that the Shear Stress Transport (SST) model is sensitive to near wall grid resolution which should be fine enough. Moreover, the cavitation morphology and dynamic behavior are sensitive to the selection of the Zwart empirical vaporization, F_v, and condensation, F_c, coefficients. Therefore, a multiple linear regression approach with the single objective of predicting the shedding frequency was carried out that permitted to find the range of coefficient values giving the most accurate results. In addition, it was observed that they provided a better prediction of the vapor volume fraction and of the instantaneous pressure pulse generated by the main cloud cavity collapse.

非定常空化流的数值模拟对所选模型和相关参数敏感。因此，选择了三个雷诺平均Navier-Stokes（RANS）湍流模型和Zwart空化模型，以评估它们在2D水翼上模拟云空化的性能。来自NACA65012水翼在不同流体动力学条件下的实验空化试验被用作调整模型参数的参考，最后来自NACA0015的实验试验被验证。还研究了近壁网格细化，时间步长，迭代和网格元素的影响。结果表明，剪切应力传递（SST）模型对近壁网格分辨率敏感，应该足够精细。此外，F _v和凝结系数F _c。因此，执行了具有预测脱落频率的单一目标的多元线性回归方法，该方法允许找到给出最准确结果的系数值范围。另外，观察到它们可以更好地预测蒸气体积分数和由主云腔塌陷产生的瞬时压力脉冲。