模拟弹跳液滴的双向耦合方法

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2024-10-13 DOI:10.1002/nme.7592
Hui Wang, Yuwei Xiao, Yankai Mao, Shiying Xiong, Xubo Yang, Bo Zhu
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引用次数: 0

摘要

本文提出了一种双向耦合方法,通过纳入流体体积之间的润滑薄空气动力间隙来模拟弹跳液滴现象。我们框架的核心是对碰撞液体体积之间的空气薄膜进行切割单元表示。薄膜内的空气压力采用基于润滑理论的简化流体模型建模,通过液气界面上的梯度与体积液体压力耦合,并在一个整体双向耦合系统中求解。我们的方法无需自适应网格细化即可精确求解液-液与空气薄膜的相互作用,从而可以精确模拟液滴碰撞、液滴反弹和对流等多种新型表面张力驱动现象。
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A two-way coupling approach for simulating bouncing droplets

This article presents a two-way coupling approach to simulate bouncing droplet phenomena by incorporating the lubricated thin aerodynamic gap between fluid volumes. At the heart of our framework lies a cut-cell representation of the thin air film between colliding liquid fluid volumes. The air pressures within the thin film, modeled using a reduced fluid model based on the lubrication theory, are coupled with the volumetric liquid pressures by the gradient across the liquid–air interfaces and solved in a monolithic two-way coupling system. Our method can accurately solve liquid–liquid interaction with air films without adaptive grid refinements, enabling accurate simulation of many novel surface-tension-driven phenomena such as droplet collisions, bouncing droplets, and promenading pairs.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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