多孔纸上咖啡环效应的蒙特卡罗模拟

IF 2.2 3区 工程技术 Q2 MECHANICS
Youngjin Hwang, Sangkwon Kim, Chaeyoung Lee, Soobin Kwak, Gyeonggyu Lee, Junseok Kim
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引用次数: 0

摘要

本文建立了多孔纸上咖啡环效应的数学模型和数值模拟。数值方法基于蒙特卡罗模拟。该模型虽简单,但能捕捉到多孔纸上咖啡渍形成的主要机理。几个数值实验证明了该算法的性能。通过计算机模拟得到了多孔纸上的咖啡环效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Monte Carlo simulation of the coffee-ring effect on porous papers

Monte Carlo simulation of the coffee-ring effect on porous papers

In this article, we present a mathematical model and numerical simulation of the coffee-ring effect on porous papers. The numerical method is based on Monte Carlo simulation. The proposed model is simple but can capture the main mechanism of coffee stain formation on porous papers. Several numerical experiments are presented to demonstrate the performance of the proposed algorithm. We can obtain the coffee-ring effect on porous papers as the computer simulation results.

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来源期刊
CiteScore
5.80
自引率
2.90%
发文量
38
审稿时长
>12 weeks
期刊介绍: Theoretical and Computational Fluid Dynamics provides a forum for the cross fertilization of ideas, tools and techniques across all disciplines in which fluid flow plays a role. The focus is on aspects of fluid dynamics where theory and computation are used to provide insights and data upon which solid physical understanding is revealed. We seek research papers, invited review articles, brief communications, letters and comments addressing flow phenomena of relevance to aeronautical, geophysical, environmental, material, mechanical and life sciences. Papers of a purely algorithmic, experimental or engineering application nature, and papers without significant new physical insights, are outside the scope of this journal. For computational work, authors are responsible for ensuring that any artifacts of discretization and/or implementation are sufficiently controlled such that the numerical results unambiguously support the conclusions drawn. Where appropriate, and to the extent possible, such papers should either include or reference supporting documentation in the form of verification and validation studies.
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