润湿
分子动力学
纳米尺度
固体表面
动力学(音乐)
物理
纳米技术
基质(水族馆)
化学物理
表面能
幂律
纹理(宇宙学)
机械
统计物理学
热力学
计算机科学
材料科学
图像(数学)
人工智能
地质学
海洋学
统计
量子力学
数学
声学
作者
Lijun Sun,Jiaxin Pan,Xin Wang,Dengwei Jing
出处
期刊:Physics of Fluids
[American Institute of Physics]
日期:2022-01-01
卷期号:34 (1)
被引量:12
摘要
The impact of nanodroplets on a solid surface is widely encountered in industrial processes. Understanding the processes that occur when nanodroplets impact a rough surface is of great significance, but the mechanism and dynamics of these processes remain unclear due to the limitations of experimental tools and the shortcomings of most macroscale models. This paper describes molecular dynamics simulations conducted to explore these nanoscale processes. The wettability and solid fraction of the textured substrate and the effects of different impact velocities are investigated. We demonstrate that the maximum spreading time can be described as a power law of the Weber number and that the maximum spreading factor increases with increasing surface wettability. Owing to changes in the attraction between the nanodroplets and the textured substrate, the maximum spreading factor also increases as the solid fraction increases. Based on energy analysis, a theoretical model is proposed for predicting the maximum spreading factor, and this is found to be in good agreement with the simulation results. The results of this study provide useful guidance for predicting the dynamics of nanodroplet impacts.
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