基于微分再现核和人工可压缩性的光滑颗粒流体力学三相流无网格相场建模

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
Adam Y. Ghoneim
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引用次数: 0

摘要

本文提出了一种基于差分再现核(DRK)的光滑颗粒流体力学(SPH)的三相流相场(PF)无网格建模方法。该方法构造的近似权函数及其梯度满足重现性条件。将计算域离散为粒子,并假设三种不混相流体之间存在扩散界面。通过求解基于亥姆霍兹自由能泛函极小化的Cahn-Hilliard (CH)方程来处理扩散界面的传播。我们采用了一种基于通用压力方程(GPE)的人工压缩率方法,在求解Navier-Stokes (NS)方程时显示出稳定的耗散压力项。因此,我们脱离了通常用于弱可压缩SPH的基于密度的状态方程(EOS)。研究发现,所提出的求解Cahn-Hilliard-Navier-Stokes (CHNS)方程组的PF-SPH方法在处理两种以上不混相共存的流体界面处的非平凡表面张力效应时特别有效。此外,粒子移动被发现是确保DRK权函数成功构建的关键。我们提出了数学公式,并讨论了在二维和三维以及拉格朗日和欧拉框架下进行的数值模拟的结果,证明了所提出方法的通用性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meshfree phase-field modeling of three-phase flow using smoothed particle hydrodynamics with differential reproducing kernels and artificial compressibility
This paper presents a meshfree approach for phase-field (PF) modeling of three-phase flow using Smoothed Particle Hydrodynamics (SPH) with Differential Reproducing Kernels (DRK). In this method, the constructed approximating weight functions and their gradients satisfy the reproducibility condition. The computational domain is discretized into particles and a diffuse interface is assumed between three immiscible fluid phases. The propagation of the diffuse interface is handled by solving a Cahn-Hilliard (CH) equation based on the Helmholtz free energy functional minimization. We employ an artificial compressibility method based on the General Pressure Equation (GPE), exhibiting a stabilizing dissipative pressure term for solving the Navier–Stokes (NS) equations. As such, we depart from the density-based Equation of State (EOS) typically used in weakly-compressible SPH. The proposed PF-SPH method for solving the Cahn-Hilliard-Navier–Stokes (CHNS) system of equations was found to be particularly effective in handling the non-trivial surface tension effects at the fluid interfaces, where more than two immiscible fluid phases co-exist. Additionally, particle shifting was found to be critical in ensuring successful construction of the DRK weight functions. We present the mathematical formulation and discuss the results of numerical simulations conducted in both 2D and 3D, as well as in both Lagrangian and Eulerian frameworks, demonstrating the versatility and applicability of the proposed method.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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