Multiphase SPH for surface tension: resolving zero-surface-energy modes and achieving high Reynolds number simulations

Fuente: arXiv
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Main Authors: Zhang, Shuaihao, Lourenço, Sérgio D. N., Hu, Xiangyu
Format: Preprint
Published: 2025
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author Zhang, Shuaihao
Lourenço, Sérgio D. N.
Hu, Xiangyu
author_facet Zhang, Shuaihao
Lourenço, Sérgio D. N.
Hu, Xiangyu
contents This study introduces a Riemann-based Smoothed Particle Hydrodynamics (SPH) framework for the stable and accurate simulation of surface tension in multiphase flows, with density and viscosity ratios as high as 1000 and 100, respectively. The methodology begins with the computation of surface stress, from which surface tension is derived, ensuring the conservation of momentum. For the first time, this study identifies the root cause of particle disorder at fluid-fluid interfaces, attributed to a numerical instability defined herein as \textit{zero-surface-energy modes}. To address this, we propose a novel penalty force method, which eliminates zero-surface-energy modes and significantly enhances the overall stability of the simulation. Importantly, the penalty force correction term is designed to maintain momentum conservation. The stability and accuracy of the proposed framework are validated through several benchmark cases with analytical solutions, performed under both two-dimensional and three-dimensional conditions. Furthermore, the robustness of the method is demonstrated in a three-dimensional high-velocity droplet impact scenario, achieving stable performance at high Reynolds numbers ($Re=10000$) and Weber numbers ($We=25000$). To the best of our knowledge, this represents the first successful demonstration of a mesh-free method achieving stable multiphase flow simulations under such extreme $Re$ and $We$ conditions. A qualitative comparison with previous experimental results is also conducted, confirming the reliability of the simulation outcomes. An open-source code is provided for further in-depth study.
format Preprint
id arxiv_https___arxiv_org_abs_2503_16082
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Multiphase SPH for surface tension: resolving zero-surface-energy modes and achieving high Reynolds number simulations
Zhang, Shuaihao
Lourenço, Sérgio D. N.
Hu, Xiangyu
Fluid Dynamics
This study introduces a Riemann-based Smoothed Particle Hydrodynamics (SPH) framework for the stable and accurate simulation of surface tension in multiphase flows, with density and viscosity ratios as high as 1000 and 100, respectively. The methodology begins with the computation of surface stress, from which surface tension is derived, ensuring the conservation of momentum. For the first time, this study identifies the root cause of particle disorder at fluid-fluid interfaces, attributed to a numerical instability defined herein as \textit{zero-surface-energy modes}. To address this, we propose a novel penalty force method, which eliminates zero-surface-energy modes and significantly enhances the overall stability of the simulation. Importantly, the penalty force correction term is designed to maintain momentum conservation. The stability and accuracy of the proposed framework are validated through several benchmark cases with analytical solutions, performed under both two-dimensional and three-dimensional conditions. Furthermore, the robustness of the method is demonstrated in a three-dimensional high-velocity droplet impact scenario, achieving stable performance at high Reynolds numbers ($Re=10000$) and Weber numbers ($We=25000$). To the best of our knowledge, this represents the first successful demonstration of a mesh-free method achieving stable multiphase flow simulations under such extreme $Re$ and $We$ conditions. A qualitative comparison with previous experimental results is also conducted, confirming the reliability of the simulation outcomes. An open-source code is provided for further in-depth study.
title Multiphase SPH for surface tension: resolving zero-surface-energy modes and achieving high Reynolds number simulations
topic Fluid Dynamics
url https://arxiv.org/abs/2503.16082