Dynamics of particulate droplets collision: An Allen-Cahn based multiphase lattice Boltzmann approach

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2024-09-04 DOI:10.1016/j.camwa.2024.08.029
Eslam Ezzatneshan, Kian Nakhaei, Ayoub Fattahi
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Abstract

This study presents an investigation into the collision dynamics of particulate droplets using a two-dimensional Lattice Boltzmann Method (LBM) framework, enhanced by a phase-field model based on the Allen-Cahn (A-C) equation. The paper validates the LBM approach against established references, ensuring accuracy and reliability. Simulations cover head-on and off-center collisions under various conditions, including different particle sizes and numbers, as well as varying Weber and Reynolds numbers. The findings demonstrate that particles within droplets significantly influence the collision dynamics, particularly in terms of momentum transfer and collision asymmetry. The research highlights the complex interplay between particle dynamics and droplet behavior, offering insights into industrial processes such as pharmaceuticals, coating applications, and the oil and energy sectors. The study contributes to the broader understanding the nuanced effects of particles in droplet collisions and the results and methodologies presented can be applied to various practical applications.

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微粒液滴碰撞动力学:基于艾伦-卡恩的多相晶格玻尔兹曼方法
本研究采用二维晶格玻尔兹曼法(LBM)框架,通过基于艾伦-卡恩(A-C)方程的相场模型对微粒液滴的碰撞动力学进行了研究。论文根据已有的参考文献验证了 LBM 方法,确保了其准确性和可靠性。模拟涵盖了各种条件下的正面和偏心碰撞,包括不同的颗粒大小和数量,以及不同的韦伯和雷诺数。研究结果表明,液滴中的颗粒会对碰撞动力学产生重大影响,尤其是在动量传递和碰撞不对称方面。研究强调了颗粒动力学和液滴行为之间复杂的相互作用,为制药、涂层应用以及石油和能源行业等工业过程提供了启示。这项研究有助于更广泛地了解微粒在液滴碰撞中的细微影响,研究结果和方法可应用于各种实际应用。
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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