Cavitating flows are dominated by large gradients of physical properties and quantities containing complicated interfacial structures and lots of multi-scale eddies that need to be accurately characterized using a high-resolution mesh. The present work, within OpenFOAM, proposes an effective modeling framework using the large eddy simulation (LES) approach along with the volume of fluid (VOF) method to simulate the two-phase flow system and applies the Schnerr-Sauer model to calculate the mass-transfer rate between water and vapor. The adaptive mesh refinement (AMR) which is a powerful tool for allocating high-resolution grids only to the region of the greatest concern is adopted for improving the solution of interfacial structures. The effect of grid size is firstly investigated and the time-averaged quantities are verified against the experimental data, and then simulations of cavitating flows are successfully achieved to precisely characterize the features of cavitation with automatically and dynamically refining the mesh. As the refinement only takes place in the interfacial region, high-precision simulations can be achieved with limited computational resources, and the method shows promising prospects for modeling of the multi-scale, time-critical and computationally intensive cavitating flows.

中文翻译：

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利用OpenFOAM动态自适应网格细化对空化流进行大涡模拟

空化流主要由大量物理特性和大量梯度组成，这些梯度包含复杂的界面结构和许多多尺度涡流，需要使用高分辨率网格对其进行精确表征。在OpenFOAM中，当前工作提出了一个有效的建模框架，该模型使用大涡模拟（LES）方法以及流体体积（VOF）方法来模拟两相流系统，并应用Schnerr-Sauer模型来计算质量-水和蒸气之间的转移速率。自适应网格细化（AMR）是一种功能强大的工具，可用于仅将高分辨率网格分配给最关注的区域，以改善界面结构的求解。首先研究了网格尺寸的影响，并根据实验数据验证了时间平均量，然后成功实现了空化流的模拟，以通过自动动态地细​​化网格来精确地表征空化的特征。由于仅在界面区域进行细化，因此可以用有限的计算资源来实现高精度仿真，并且该方法显示出对多尺度，时间紧迫和计算密集型空化流建模的有前途的前景。