润湿
聚结(物理)
整改
微流控
材料科学
化学物理
表面能
温度梯度
浓度梯度
曲面(拓扑)
纳米技术
非平衡态热力学
去湿
接触角
工作(物理)
机械
化学
超短脉冲
马朗戈尼效应
平面
输运现象
固体表面
势能
作者
Fujian Zhang,Bao-chen Cui,Zhen Liu,Kehan Huang,Yunyun Song,Patrick Verdin,Zhongqiang Zhang,Fujian Zhang,Bao-chen Cui,Zhen Liu,Kehan Huang,Yunyun Song,Patrick Verdin,Zhongqiang Zhang
出处
期刊:Langmuir
[American Chemical Society]
日期:2025-11-12
卷期号:41 (46): 31639-31648
标识
DOI:10.1021/acs.langmuir.5c04844
摘要
Droplet self-transport holds significant implications for applications such as water harvesting, microreactors, and microfluidic chips. Achieving precise and efficient droplet self-transport is therefore crucial. Herein, a dual-gradient wettability-patterned surface (DWPS) incorporating both wettability and structural gradients is proposed, where the wettability gradient facilitates ultrafast droplet transport, while the structural gradient serves to rectify the transport direction, collectively achieving directional droplet rectification and ultrafast targeted self-transport. The influence mechanism of energy conversion on droplet self-transport behavior during oscillatory motion is elucidated. The oscillatory behavior during droplet self-transport can be effectively suppressed through a droplet coalescence strategy. Compared to the single wettability or structural gradient surfaces, the structural gradient surface exhibits the lowest transport efficiency. Although the droplet self-transport efficiency on the DWPS is also lower than that on the wettability gradient surface, it enables precise droplet transport. The mechanisms underlying the self-transport behavior and efficiency variations on the three model surfaces are revealed through an analysis of the relationship between solid-liquid interfacial energy and droplet potential energy. These findings provide a theoretical foundation for the design of functional surfaces aimed at achieving precise droplet self-transport.
科研通智能强力驱动
Strongly Powered by AbleSci AI