复杂几何两相流的三维欧拉无网格保守水平集方法

IF 3 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Anand S. Bharadwaj , B. Premachandran
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引用次数: 0

摘要

针对复杂几何形状的两相流问题,提出了一种基于保守水平集法的三维欧拉无网格方法。该方法结合了欧拉法和无网格法的优点。作为一种欧拉方法,它不需要在每个时间步都进行邻域估计。同时,作为一种无网格方法,它不需要域内点之间的网格连通性,从而减轻了网格生成的难度,使得具有复杂几何形状的点云适应和模拟相对简单。在该方法中,我们将点云生成算法作为流体求解器的一部分,该算法可用于在域中发生任何几何变化时生成或更改点云。无网格方法基于广义有限差分法(GFDM),该方法使用由最小二乘误差最小化过程导出的微分算子。体积分数α的平流方程采用定向通量误差最小化(DFEM)格式。采用5阶WENO格式对平流方程进行通量重建。界面锐化步骤按一定的间隔进行,以确保界面的锐化保持不变,从而减少与平流步骤中耗散误差相关的质量损失。为了进一步提高精度,我们提出使用体积分数函数(α)的卷积来适应界面附近的点云。使用基准测试用例验证了该方法。此外,还讨论了一些复杂几何形状的流动问题,如具有均匀和随机分布障碍物的多孔腔的流动问题以及斜齿锥齿轮铸造过程中熔融金属的流动问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 3D Eulerian meshless conservative level set method for two-phase flows with complex geometries
In this paper, we develop a 3D Eulerian meshless method based on the conservative level set method targeted to solve two-phase flows with complex geometries. The method combines the advantages of Eulerian methods and meshless methods. Being an Eulerian method, it does not require neighbourhood estimation every time step. At the same time, being a meshless method, it does not require mesh connectivity between points in the domain and consequently, alleviates the difficulty of mesh-generation, makes point cloud adaptation and simulation with complex geometries relatively straight forward. In this method, we use a point cloud generating algorithm as a part of the fluid-solver, which can be used to generate or change the point cloud whenever there are any geometric changes in the domain. The meshless method is based on the Generalized Finite Difference Method (GFDM), which uses differential operators that are derived from a least-squares error minimization procedure. The advection equation of the volume fraction α uses the Directional Flux Error Minimization (DFEM) scheme. The 5th order WENO scheme is used for the flux-reconstruction in the advection equation. The interface sharpening step is performed at regular intervals to ensure that the sharpness of the interface is retained, thus, reducing the mass losses associated with the dissipative errors in the advection step. To further improve the accuracy, we propose the adaptation of the point cloud in the vicinity of the interface using the convolution of the volume fraction function (α). The method is validated using benchmark test cases. Additionally, some flow problems involving complex geometries are presented — flow through a porous cavity with uniform and randomly distributed obstacles and the flow of molten metal in the casting of a helical bevel gear.
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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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