Large eddy simulation of cavitating flows with dynamic adaptive mesh refinement using OpenFOAM
作者机构：College of Energy and Electrical EngineeringHohai UniversityNanjing211100China College of Water Conservancy and Hydropower EngineeringHohai UniversityNanjing210098China Anhui Jinzhai Pumped Storage Power Co.LtdLu’an237300China
出 版 物：《Journal of Hydrodynamics》 (水动力学研究与进展B辑（英文版）)
年 卷 期：2020年第32卷第2期
页 面：398-409页
核心收录：
学科分类：080704[工学-流体机械及工程] 080103[工学-流体力学] 08[工学] 0807[工学-动力工程及工程热物理] 0801[工学-力学（可授工学、理学学位）]
基 金：Project supported by the China Postdoctoral Science Foundation(Grant No.2018M630502) This work was supported by the Jiangsu Province Science Foundation for Youths(Grant No.BK20180505) the Fundamental Research Funds for the Central Universities(Grant No.2019B14914)
主 题：Cavitating flows large eddy simulation(LES) multi-scale adaptive mesh refinement(AMR) OpenFOAM
摘 要：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 *** 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 *** 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 *** 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 *** 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.
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