Microdroplet dynamics on solid surface: The effect of wetting and surface tension using lattice Boltzmann method

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Salaheddine Channouf, Mohammed Jami, Ahmed Mezrhab
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引用次数: 0

Abstract

In this study, we investigated the micro-scale dynamics of droplet impact on solid surfaces with varying wettability, using a 3D modeling approach to capture the intricate behavior of microdroplets. We employed the multi-relaxation times pseudopotential lattice Boltzmann method to simulate the interaction between fluids of different densities, with interface tension playing a key role. The analysis focused on two distinct wetting scenarios: hydrophobic (non-wetting) and hydrophilic (wetting) surfaces, examining the droplet dynamics during both the spreading (propagation) and recoiling phases of impact. By manipulating the bulk modulus parameter κ and the corresponding surface tension γ, we were able to explore how wettability and surface tension influence droplet behavior, including deformation and stability. The study also validated key aspects of our computational framework through reference validations such as contact angle measurements and Laplace's law. Our results provide valuable comprehension of the mixed effects of wettability and surface tension, offering a comprehensive understanding of droplet interactions on different surfaces. This work contributes to the broader knowledge of fluid dynamics and surface engineering, with implications for applications in fields such as inkjet printing, coating technologies, and material science.
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来源期刊
Journal of Computational Science
Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
5.50
自引率
3.00%
发文量
227
审稿时长
41 days
期刊介绍: Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).
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